The present invention relates generally to imagers and more specifically to imager arrays used in array cameras.
A sensor used in a conventional single sensor camera, typically includes a row controller and one or more column read-out circuits. In the context of the array of pixels in an imager, the term “row” is typically used to refer to a group of pixels that share a common control line(s) and the term “column” is a group of pixels that share a common read-out line(s). A number of array camera designs have been proposed that use either an array of individual cameras/sensors or a lens array focused on a single focal plane sensor. When multiple separate cameras are used in the implementation of an array camera, each camera has a separate I/O path and the camera controllers are typically required to be synchronized in some way. When a lens array focused on a single focal plane sensor is used to implement an array camera, the sensor is typically a conventional sensor similar to that used in a conventional camera. As such, the sensor does not possess the ability to independently control the pixels within the image circle of each lens in the lens array.
Systems and methods are disclosed in which an imager array is implemented as a monolithic integrated circuit in accordance with embodiments of the invention. In many embodiments, the imager array includes a plurality of imagers that are each independently controlled by control logic within the imager array and the image data captured by each imager is output from the imager array using a common I/O path. In a number of embodiments, the pixels of each imager are backside illuminated and the bulk silicon of the imager array is thinned to different depths in the regions corresponding to different imagers in accordance with the spectral wavelengths sensed by each imager.
One embodiment includes a plurality of focal planes, where each focal plane comprises a two dimensional arrangement of pixels having at least two pixels in each dimension and each focal plane is contained within a region of the imager array that does not contain pixels from another focal plane, control circuitry configured to control the capture of image information by the pixels within the focal planes, where the control circuitry is configured so that the capture of image information by the pixels in at least two of the focal planes is separately controllable, sampling circuitry configured to convert pixel outputs into digital pixel data and output interface circuitry configured to transmit pixel data via an output interface.
A further embodiment of the invention includes the imager array includes M×N focal planes, the output interface includes less than M×N output ports, and the control circuitry is configured to time multiplex the pixel data onto the output ports of the output interface.
In another embodiment, the control circuitry further comprises memory configured to buffer pixel data from the plurality of focal planes until a time-slot is available on an output port of the output interface to transmit the pixel data.
In a still further embodiment, the control circuitry is configured to insert codes between the pixel data transmitted via the output interface, where the codes provide information identifying a focal plane.
In still another embodiment, the control circuitry is configured to insert codes between the pixel data transmitted via the output interface, where the codes provide information identifying at least one row of pixels within a focal plane.
In a yet further embodiment, the control circuitry is configured to insert codes between the pixel data transmitted via the output interface, where the codes provide information identifying at least one column of pixels within a focal plane.
In yet another embodiment, the control circuitry is configured to insert codes between the pixel data transmitted via the output interface, where the codes provide information identifying the relative time of pixel data capture.
In a further embodiment again, the codes provide information identifying the relative start time of the pixel data capture.
In another embodiment again, the codes provide information identifying the relative end time of the pixel data capture.
In a further additional embodiment, the control circuitry further comprises a counter and the codes that provide information identifying the relative time of pixel data capture are generated using the counter.
In another additional embodiment, the control circuitry is configured to insert codes between the pixel data transmitted via the output interface, where the codes provide information concerning operating parameters of the imager array.
In a still yet further embodiment, the codes provide the integration time of each focal plane.
In still yet another embodiment, the codes provide the gain of each focal plane.
In a still further embodiment again, the output interface circuitry is configured to insert a frame blanking interval between transmission of pixel data via the output interface.
In still another embodiment again, the output interface circuitry is further configured to insert a line blanking interval between transmission of lines of pixel data via the output interface.
In a still further additional embodiment, the output interface circuitry is configured to transform the pixel data by performing bit reductions.
An embodiment of the method of the invention includes separately capturing pixel data using an imager array having a plurality of focal planes, where each focal plane comprises a two dimensional arrangement of pixels having at least two pixels in each dimension and each focal plane is contained within a region of the imager array that does not contain pixels from another focal plane, during the capture of the pixel data, buffering portions of the captured pixel data within memory in the imager array, and transmitting the buffered pixel data via an output interface in the imager array when a time-slot is available on an output port.
A further embodiment of the invention also includes using control circuitry on the imager array to insert codes between the pixel data transmitted via the output interface, where the codes provide information identifying a focal plane.
Another embodiment of the invention also includes using control circuitry on the imager array to insert codes between the pixel data transmitted via the output interface, where the codes provide information identifying at least one row of pixels within a focal plane.
A still further embodiment of the invention also includes using control circuitry on the imager array to insert codes between the pixel data transmitted via the output interface, where the codes provide information identifying at least one of at least one column of pixels within a focal plane, the relative time of pixel data capture, the relative start time of the pixel data capture, the relative end time of the pixel data capture, the integration time of each focal plane, and the gain of each focal plane.
Still another embodiment of the invention also includes using control circuitry on the imager array to insert a line blanking interval between transmissions of buffered pixel data via the output interface.
A yet further embodiment of the invention also includes using control circuitry on the imager array to insert a frame blanking interval upon completion of the transmission of the captured pixel data.
Turning now to the drawings, architectures for imager arrays configured for use in array cameras in accordance with embodiments of the invention are illustrated. In many embodiments, a centralized controller on a imager array enables fine control of the capture time of each focal plane in the array. The term focal plane describes a two dimensional arrangement of pixels. Focal planes in an imager array are typically non-overlapping (i.e. each focal plane is located within a separate region on the imager array). The term imager is used to describe the combination of a focal plane and the control circuitry that controls the capture of image information using the pixels within the focal plane. In a number of embodiments, the focal planes of the imager array can be separately triggered. In several embodiments, the focal planes of the imager array utilize different integration times tailored to the capture band of the pixels within each focal plane. The capture band of a pixel typically refers to a contiguous sub-band of the electromagnetic system to which a pixel is sensitive. In addition, the specialization of specific focal planes so that all or a majority of the pixels in the focal plane have the same capture band enables a number of pixel performance improvements and increases in the efficiency of utilization of peripheral circuitry within the imager array.
In a number of embodiments, the pixels of the imager array are backside illuminated and the substrate of the regions containing each of the focal planes are thinned to different depths depending upon the spectral wavelengths sensed by the pixels in each focal plane. In addition, the pixels themselves can be modified to improve the performance of the pixels with respect to specific capture bands. In many embodiments, the conversion gain, source follower gain and full well capacity of the pixels in each focal plane are determined to improve the performance of the pixels with respect to their specific capture bands.
In several embodiments, each focal plane possesses dedicated peripheral circuitry to control the capture of image information. In certain embodiments, the grouping of pixels intended to capture the same capture band into focal planes enables peripheral circuitry to be shared between the pixels. In many embodiments, the analog front end, analog to digital converter, and/or column read-out and control circuitry are shared between pixels within two or more focal planes.
In many embodiments, the imagers in an imager array can be placed in a lower power state to conserve power, which can be useful in operating modes that do not require all imagers to be used to generate the output image (e.g. lower resolution modes). In several embodiments, the pixels of imagers in the low power state are held with the transfer gate on so as to maintain the photodiode's depletion region at its maximum potential and carrier collection ability, thus minimizing the probability of photo-generated carriers generated in an inactive imager from migrating to the pixels of active imagers. Array cameras and imager arrays in accordance with embodiments of the invention are discussed further below.
1. Array Camera Architecture
An array camera architecture that can be used in a variety of array camera configurations in accordance with embodiments of the invention is illustrated in
The imager array 110 includes an M×N array of individual and independent focal planes, each of which receives light through a separate lens system. The imager array can also include other circuitry to control the capture of image data using the focal planes and one or more sensors to sense physical parameters. The control circuitry can control imaging and functional parameters such as exposure times, trigger times, gain, and black level offset. The control circuitry can also control the capture of image information by controlling read-out direction (e.g. top-to-bottom or bottom-to-top, and left-to-right or right-to-left). The control circuitry can also control read-out of a region of interest, horizontal sub-sampling, vertical sub-sampling, and/or charge-binning. In many embodiments, the circuitry for controlling imaging parameters may trigger each focal plane separately or in a synchronized manner. The imager array can include a variety of other sensors, including but not limited to, dark pixels to estimate dark current at the operating temperature. Imager arrays that can be utilized in array cameras in accordance with embodiments of the invention are disclosed in PCT Publication WO 2009/151903 to Venkataraman et al., the disclosure of which is incorporated herein by reference in its entirety. In a monolithic implementation, the imager array may be implemented using a monolithic integrated circuit. When an imager array in accordance with embodiments of the invention is implemented in a single self-contained SOC chip or die, the imager array can be referred to as a imager array. The term imager array can be used to describe a semiconductor chip on which the imager array and associated control, support, and read-out electronics are integrated.
The image processing pipeline module 120 is hardware, firmware, software, or a combination thereof for processing the images received from the imager array 110. The image processing pipeline module 120 typically processes the multiple low resolution (LR) images captured by the camera array and produces a synthesized higher resolution image in accordance with an embodiment of the invention. In a number of embodiments, the image processing pipeline module 120 provides the synthesized image data via an output 122. Various image processing pipeline modules that can be utilized in a camera array in accordance with embodiments of the invention are disclosed in U.S. patent application Ser. No. 12/967,807 entitled “System and Methods for Synthesizing High Resolution Images Using Super-Resolution Processes” filed Dec. 14, 2010, the disclosure of which is incorporated by reference herein in its entirety.
The controller 130 is hardware, software, firmware, or a combination thereof for controlling various operation parameters of the imager array 110. In many embodiments, the controller 130 receives inputs 132 from a user or other external components and sends operation signals to control the imager array 110. The controller 130 can also send information to the image processing pipeline module 120 to assist processing of the LR images captured by the imager array 110.
Although a specific array camera architecture is illustrated in
2. Imager Array Architectures
A imager array in accordance with an embodiment of the invention is illustrated in
3. Focal Plane Array Cores
Focal plan array cores in accordance with embodiments of the invention include an array of imagers and dedicated peripheral circuitry for capturing image data using the pixels in each focal plane. Imager arrays in accordance with embodiments of the invention can include focal plan array cores that are configured in any of a variety of different configurations appropriate to a specific application. For example, customizations can be made to a specific imager array designs including (but not limited to) with respect to the focal plane, the pixels, and the dedicated peripheral circuitry. Various focal plane, pixel designs, and peripheral circuitry that can be incorporated into focal plane array cores in accordance with embodiments of the invention are discussed below.
3.1. Formation of Focal Planes on an Imager Array
An imager array can be constructed in which the focal planes are formed from an array of pixel elements, where each focal plane is a sub-array of pixels. In embodiments where each sub-array has the same number of pixels, the imager array includes a total of K×L pixel elements, which are segmented in M×N sub-arrays of X×Y pixels, such that K=M×X, and L=N×Y. In the context of an imager array, each sub-array or focal plane can be used to generate a separate image of the scene. Each sub-array of pixels provides the same function as the pixels of a conventional imager (i.e. the imager in a camera that includes a single focal plane).
As is discussed further below, a imager array in accordance with embodiments of the invention can include a single controller that can separately sequence and control each focal plane. Having a common controller and I/O circuitry can provide important system advantages including lowering the cost of the system due to the use of less silicon area, decreasing power consumption due to resource sharing and reduced system interconnects, simpler system integration due to the host system only communicating with a single controller rather than M×N controllers and read-out I/O paths, simpler array synchronization due to the use of a common controller, and improved system reliability due to the reduction in the number of interconnects.
3.2. Layout of Imagers
As is disclosed in P.C.T. Publication WO 2009/151903 (incorporated by reference above), an imager array can include any N×M array of focal planes such as the imager array (200) illustrated in
The human eye is more sensitive to green light than to red and blue light, therefore, an increase in the resolution of an image synthesized from the low resolution image data captured by a imager array can be achieved using an array that includes more focal planes that sense green light than focal planes that sense red or blue light. A 5×5 imager array (210) including 17 focal planes that sense green light (G), four focal planes that sense red light (R), and four focal planes that sense blue light (B) is illustrated in
Additional imager array configurations are disclosed in U.S. patent application Ser. No. 12/952,106 entitled “Capturing and Process of Images Using Monolithic Camera Array with Heterogenous Imagers” to Venkataraman et al., the disclosure of which is incorporated by reference herein in its entirety.
Although specific imager array configurations are disclosed above, any of a variety of regular or irregular layouts of imagers including imagers that sense visible light, portions of the visible light spectrum, near-IR light, other portions of the spectrum and/or combinations of different portions of the spectrum can be utilized to capture images that provide one or more channels of information for use in SR processes in accordance with embodiments of the invention. The construction of the pixels of an imager in an imager array in accordance with an embodiment of the invention can depend upon the specific portions of the spectrum imaged by the imager. Different types of pixels that can be used in the focal planes of an imager array in accordance with embodiments of the invention are discussed below.
3.3. Pixel Design
Within an imager array that is designed for color or multi-spectral capture, each individual focal plane can be designated to capture a sub-band of the visible spectrum. Each focal plane can be optimized in various ways in accordance with embodiments of the invention based on the spectral band it is designated to capture. These optimizations are difficult to perform in a legacy Bayer pattern based image sensor since the pixels capturing their respective sub-band of the visible spectrum are all interleaved within the same pixel array. In many embodiments of the invention, backside illumination is used where the imager array is thinned to different depths depending upon the capture band of a specific focal plane. In a number of embodiments, the sizes of the pixels in the imager array are determined based upon the capture band of the specific imager. In several embodiments, the conversion gains, source follower gains, and full well capacities of groups of pixels within a focal plane are determined based upon the capture band of the pixels. The various ways in which pixels can vary between focal planes in a imager array depending upon the capture band of the pixel are discussed further below.
3.3.1. Backside Illuminated Imager Array with Optimized Thinning Depths
A traditional image sensor is illuminated from the front side where photons must first travel through a dielectric stack before finally arriving at the photodiode, which lies at the bottom of the dielectric stack in the silicon substrate. The dielectric stack exists to support metal interconnects within the device. Front side illumination suffers from intrinsically poor Quantum Efficiency (QE) performance (the ratio of generated carriers to incident photons), due to problems such as the light being blocked by metal structures within the pixel. Improvement is typically achieved through the deposition of micro-lens elements on top of the dielectric stack for each pixel so as to focus the incoming light in a cone that attempts to avoid the metal structures within the pixel.
Backside illumination is a technique employed in image sensor fabrication so as to improve the QE performance of imagers. In backside illumination (BSI), the silicon substrate bulk is thinned (usually with a chemical etch process) to allow photons to reach the depletion region of the photodiode through the backside of the silicon substrate. When light is incident on the backside of the substrate, the problem of aperturing by metal structures inherent in frontside illumination is avoided. However, the absorption depth of light in silicon is proportional to the wavelength such that the red photons penetrate much deeper than blue photons. If the thinning process does not remove sufficient silicon, the depletion region will be too deep to collect photo electrons generated from blue photons. If the thinning process removes too much silicon, the depletion region can be too shallow and red photons may travel straight though without interacting and generating carriers. Red photons could also be reflected from the front surface back and interact with incoming photons to create constructive and destructive interference due to minor differences in the thickness of the device. The effects caused by variations in the thickness of the device can be evident as fringing patterns and/or as spiky spectral QE response.
In a conventional imager, a mosaic of color filters (typically a Bayer filter) is often used to provide RGB color capture. When a mosaic based color imager is thinned for BSI, the thinning depth is typically the same for all pixels since the processes used do not thin individual pixels to different depths. The common thinning depth of the pixels results in a necessary balancing of QE performance between blue wavelengths and red/near-IR wavelengths. A imager array in accordance with embodiments of the invention includes an array of imagers, where each pixel in a focal plane senses the same spectral wavelengths. Different focal planes can sense different sub-bands of the visible spectrum or indeed any sub-band of the electromagnetic spectrum for which the band-gap energy of silicon has a quantum yield gain greater than 0. Therefore, performance of an imager array can be improved by using BSI where the thinning depth for the pixels of a focal plane is chosen to match optimally the absorption depth corresponding to the wavelengths of light each pixel is designed to capture. In a number of embodiments, the silicon bulk material of the imager array is thinned to different thicknesses to match the absorption depth of each camera's capture band within the depletion region of the photodiode so as to maximize the QE.
An imager array in which the silicon substrate is thinned to different depths in regions corresponding to focal planes (i.e. sub-arrays) that sense different spectral bandwidths in accordance with an embodiment of the invention is conceptually illustrated in
In many embodiments, the designation of color channels to each imager within the array is achieved via a first filtration of the incoming photons through a band-pass filter within the optical path of the photons to the photodiodes. In several embodiments, the thinning depth itself is used to create the designation of capture wavelengths since the depletion region depth defines the spectral QE of each imager.
3.3.2. Optimization of Pixel Size
Additional SNR benefits can be achieved by changing the pixel sizes used in the imagers designated to capture each sub-band of the spectrum. As pixel sizes shrink, the effective QE of the pixel decreases since the ratio of photodiode depletion region area to pixel area decreases. Microlenses are typically used to attempt to compensate for this and they become more important as the pixel size shrinks. Another detriment to pixel performance by pixel size reduction comes from increased noise. To attempt to maintain the balance of photo-active to read-out circuit area, in many embodiments, the pixel transfer gate, source follower amplifier transistor and reset transistors are also made smaller. As these transistors reduce in size, numerous performance parameters are degraded typically resulting in noise increase.
Electrical “cross-talk” also increases as a function of reduced pixel-to-pixel spacing. Long wavelength photons penetrate deeper into the substrate before interacting with the silicon to create a charge carrier. These charge carriers wander in a somewhat random fashion before resurfacing and collection in a photodiode depletion region. This “circle” of probable resurface and collection increases as a function of generation depth. Thus the smaller the pixels become, the greater the number of pixels the circle of probable resurface covers. This effect results in a degradation of the Modulation Transfer Function (MTF) with increase in photon wavelength.
Imagers designated to capture longer wavelengths can therefore be optimized to improve system SNR by increasing the pixel size and thus increasing the QE of the pixel. Since MTF drops as a function of increased wavelength, the benefit of smaller pixels for resolution purposes is diminished with increased wavelength. Overall system resolution can thus be maintained while increasing the pixel size for longer wavelengths so as to improve QE and thus improve the overall system SNR. Although in many embodiments, imager arrays in accordance with embodiments of the invention utilize as small pixels as can be manufactured. Accordingly, increasing pixel size in the manner outlined above is simply one technique that can be utilized to improve camera performance and the specific pixel size chosen typically depends upon the specific application.
3.3.3. Imager Optimization
The push for smaller and smaller pixels has encouraged pixel designers to re-architect the pixels such that they share read-out circuits within a neighborhood. For example, a group of four photodiodes may share the same reset transistor, floating diffusion node and source follower amplifier transistors. When the four pixels are arranged in a Bayer pattern arrangement, the group of four pixels covers the full visible spectrum of capture. In imager arrays in accordance with embodiments of the invention, these shared pixel structures can be adapted to tailor the performance of pixels in a focal plane to a given capture band. The fact that these structures are shared by pixels that have different capture bands in a traditional color filter array based image sensor means that the same techniques for achieving performance improvements are typically not feasible. The improvement of the performance of pixels in a focal plane by selection of conversion gain, source follower gain, and full well capacity based upon the capture band of the pixels is discussed below. Although the discussion that follows is with reference to 4 T CMOS pixels, similar improvements to pixel performance can be achieved in any imager array in which pixels share circuitry in accordance with embodiments of the invention.
3.3.3.1. Optimization of Conversion Gain
The performance of imagers within an imager array that are intended to capture specific sub-bands of the spectrum can be improved by utilizing pixels with different conversion gains tailored for each of the different capture bands. Conversion gain in a typical 4 T CMOS pixel can be controlled by changing the size of the capacitance of the “sense node”, typically a floating diffusion capacitor (FD). The charge to voltage conversion follows the equation V=Q/C where Q is the charge, C is the capacitance and V is the voltage. Thus the smaller the capacitance, the higher the voltage resulting from a given charge hence the higher the charge-to-voltage conversion gain of the pixel. The conversion gain cannot obviously be increased infinitely however. The apparent full well capacity of the pixel (number of photo-electrons the pixel can record) will decrease if the capacitance of the FD becomes too small. This is because the electrons from the photodiode transfer into the FD due to a potential difference acting on them. Charge transfer will stop when the potential difference is zero (or a potential barrier exists between the PF and the FD). Thus if the capacitance of the FD is too small, the potential equilibrium may be reached before all electrons have been transferred out of the photodiode.
3.3.3.2. Optimization of Source Follower Gain
Additional performance gains can be achieved by changing the characteristics of the amplifiers in each pixel within a focal plane. The amplifier in a traditional 4 T CMOS pixel is constructed from a Source Follower transistor. The Source Follower transistor amplifies the voltage across the FD so as to drive the pixel signal down the column line to the column circuit where the signal is subsequently sampled.
The output voltage swing as a function of the input voltage swing (i.e. the Source Follower amplifier's gain) can be controlled during fabrication by changing the implant doping levels. Given the pixel photodiode's full well capacity (in electrons) and the capacitance of the FD, a range of voltages are established at the input of the Source Follower transistor by the relationship Vin=Vrst−Q/C where Vrst is the reset voltage of the FD, Q is the charge of the electrons transferred to the FD from the photodiode and C is the capacitance of the FD.
The photodiode is a pinned structure such that the range of charge that may be accumulated is between 0 electrons and the full well capacity. Therefore, with a given full well capacity of the photodiode and a given capacitance of the FD and a desired output signal swing of the source follower, the optimal gain or a near optimal gain for the source follower transistor can be selected.
3.3.3.3. Optimization of Full Well Capacity
Another optimization that can be performed is through changing the full well capacity of the photodiodes. The full well capacity of the photodiode is the maximum number of electrons the photodiode can store in its maximally depleted state. The full well of the pixels can be controlled through the x-y size of the photodiode, the doping levels of the implants that form the diode structure and the voltage used to reset the pixel.
3.3.3.4. Three Parameter Optimization
As can be seen in the previous sections, there are three main characteristics that can be tuned in order to configure pixels within a focal plane that have the same capture band for improved imaging performance. The optimal solution for all three parameters is dependent on the targeted behavior of a particular focal plane. Each focal plane can be tailored to the spectral band it is configured to capture. While the design of the pixel can be optimized, in many embodiments the performance of the pixels is simply improved with respect to a specific capture band (even though the improvement may not be optimal). An example optimization is as follows and similar processes can be used to simply improve the performance of a pixel with respect to a specific capture band:
a. Optimization of the Photodiode Full Well Capacity.
Given the speed of the optics and the transmittance of the color filters, it is possible to estimate the number of electrons that will be generated given a minimum integration time (e.g. 50 μs) for a given maximum spectral radiance. Each sub-band of the spectrum (color) will likely have a different number of electrons generated. The full well capacities of the photodiodes for each sub-band (color) can be chosen such that the maximum radiance within that band under minimum integration times will fill the well. The means by which this target full well capacity is achieved could be through changing the x-y dimensions, changing the doping levels during diode fabrication, changing the reset voltage of the pixels or a combination of two or more of these parameters.
b. Optimization of Conversion Gain
The next step is to optimize the conversion gain of the pixels. Given the number of electrons defined in the full well optimization step, an optimal capacitance for the floating diffusion can be chosen. The optimal capacitance is one, which maintains a potential difference to support charge transfer from the FD such that the full well capacity can be transferred in a reasonable duration of time. The goal of this optimization is to choose the smallest capacitance possible such that the charge to voltage conversion gain is as high as possible such that input referred noise is minimized and hence the maximum SNR for each color channel is realized.
c. Optimization of Source Follower Gain
Once the optimal full-well capacity and charge to voltage conversion gain is determined, the source follower amplifier gain can be chosen. The difference between the reset voltage of the FD (Vrst) and the voltage of the FD containing a full well charge load (Vrst-Q/C) enables the definition of an optimal gain for the source follower amplifier. The source follower gain defines the output signal swing between Vrst and Vrst-Q/C. The optimal signal swing is defined by such parameters as the operating voltage of the analog signal processing and the ND converter that sample and covert the pixel output signal. The source follower gain is chosen for each color channel such that their respective signal swings are all matched to each other and match the maximum signal swing supported by the analog signal processing and ND converter circuits.
Having performed these pixel level optimizations on a per capture band basis, the system will have the maximum SNR and dynamic range for each capture band given linear operation. Although the process described above is designed to provide an optimal solution with regard to maximum SNR and dynamic range, other design criteria can be used in the selection of the three parameters described above to provide improved pixel performance with respect to a specific capture band or application specific desired behavior.
3.3.4. Dynamic Range Tailoring
Further optimizations of imager arrays can be achieved by using pixels of different conversion gains within the same spectral band. For example, the “green” imagers could be constructed from pixels that have two or more different conversion gains. Therefore, each “green” imager includes pixels that have a homogeneous conversion gain, which is different to the conversion gain of pixels in another of the “green” imagers in the array. Alternatively, each imager could be constructed from a mosaic of pixels having different conversion gains.
As mentioned previously, as the conversion gain increases beyond a certain threshold, the input referred noise continues to decrease but at the expense of effective full well capacity. This effect can be exploited to yield a system having a higher dynamic range. For example, half of all “green” focal planes could be constructed using a conversion gain that optimizes both input referred noise and full well capacity (a “normal green”). The other half of all “green” focal planes could be constructed from pixels that have a higher conversion gain, hence lower input referred noise and lower effective full well capacity (“fast green”). Areas of a scene having a lower light level could be recovered from the “fast green” pixels (that are not saturated) and areas of brighter light level could be recovered from the “normal green” pixels. The result is an overall increase in dynamic range of the system. Although, a specific 50/50 allocation of focal planes between “fast green” and “normal green” is discussed above the number of focal planes dedicated to “fast” imaging and the number of focal planes dedicated to “normal” imaging is entirely dependent upon the requirements of a specific application. In addition, separate focal planes dedicated to “fast” and “normal” imaging can be utilized to increase the dynamic range of other spectral bands and is not simply limited to increasing the dynamic range with which an imager array captures green light.
A similar effect could be achieved by controlling the integration time of the “fast” and “normal” green sub-arrays such that the “fast” pixels integrate for longer. However in a non-stationary scene, this could result in motion artifacts since the “fast” pixels would integrate the scene motion for longer than the “normal” pixels creating an apparent spatial disparity between the two green channels, which may be undesirable.
Although the present invention has been described in certain specific embodiments, many additional modifications and variations would be apparent to those skilled in the art. It is therefore to be understood that the present invention may be practiced otherwise than specifically described, including various changes in the size, shape and materials, without departing from the scope and spirit of the present invention. Thus, embodiments of the present invention should be considered in all respects as illustrative and not restrictive.
3.4. Peripheral Circuitry
In a conventional imager, pixels are typically accessed in a row-wise fashion using horizontal control lines that run across each row of pixels. Output signal lines that run vertically through each pixel are used to connect the pixel output to a sampling circuit at the column periphery. The horizontal control lines and the output signal lines are typically implemented as metal traces on silicon. The outputs from all pixels in a row are simultaneously sampled at the column periphery, and scanned out sequentially using column controllers. However, common row-wise access along the full row of K pixels in a imager array does not enable the imagers to be read out independently. As noted above, many of the benefits of utilizing an imager array derive from the independence of the focal planes and the ability for the imager array to separately control the capture of image information by the pixels in each focal plane. The ability to separately control the capture of information means that the capture of image information by the pixels in a focal plane can be customized to the spectral band the focal plane is configured to capture. In a number of embodiments, the ability to provide separate trigger times can be useful in synchronizing the capture of images using focal planes that have different integration times and in capturing sequences of images that can be registered to provide slow motion video sequences. In order to control the capture of image information by different focal planes within a imager array, independent read-out control can be provided for each focal plane. In several embodiments, the imager array has independent read-out control due to the fact that each focal plane has an associated row (column) controller, column (row) read-out circuits and a dedicated pixel signal analog processor and digitizer. In many embodiments, separate control of the capture of image information by pixels in different focal planes is achieved using peripheral circuitry that is shared between focal planes. Imager arrays implemented using dedicated peripheral circuitry and shared peripheral circuitry in accordance with embodiments of the invention are discussed below.
3.4.1. Dedicated Peripheral Circuitry
A imager array including multiple focal planes having independent read-out control and pixel digitization, where each focal plane has dedicated peripheral circuitry, in accordance with embodiments of the invention is illustrated in
In a device including M×N focal planes, the read-out control logic includes M sets of column control outputs per row of focal planes (N). Each column sampling/read-out circuit 308 can also have dedicated sampling circuitry for converting the captured image information into digital pixel data. In many embodiments, the sampling circuitry includes Analog Signal Processor (ASP), which includes an Analog Front End (AFE) amplifier circuit and an Analog to Digital Converter (ADC) 310. In other embodiments, any of a variety of analog circuitry can be utilized to convert captured image information into digitized pixel information. An ASP can be implemented in a number of ways, including but not limited to, as a single ASP operating at X pixel conversion per row period, where X is the number of pixels in a row of the focal plane served by the column sampling circuit (e.g. with a pipe-lined or SAR ADC), as X ASPs operating in parallel at 1 pixel conversion per row period or P ASPs operating in parallel at X/P conversions per row (see discussion below). A common read-out control circuit 312 controls the read-out of the columns in each imager.
In the illustrated embodiment, the master control logic circuitry 314 controls the independent read-out of each imager. The master control logic circuitry 314 includes high level timing control logic circuitry to control the image capture and read-out process of the individual focal plane. In a number of embodiments, the master control portion of this block can implement features including but not limited to: staggering the start points of image read-out such that each focal plane has a controlled temporal offset with respect to a global reference; controlling integration times of the pixels within specific focal planes to provide integration times specific to the spectral bandwidths being imaged; the horizontal and vertical read-out direction of each imager; the horizontal and vertical sub-sampling/binning/windowing of the pixels within each focal plane; the frame/row/pixel rate of each focal plane; and the power-down state control of each focal plane.
The master control logic circuitry 314 handles collection of pixel data from each of the imagers. In a number of embodiments, the master control logic circuitry packs the image data into a structured output format. Given that fewer than M×N output ports are used to output the image data (e.g. there are 2 output ports), the imager data is time multiplexed onto these output ports. In a number of embodiments, a small amount of memory (FIFO) is used to buffer the data from the pixels of the imagers until the next available time-slot on the output port 316 and the master control logic circuitry 314 or other circuitry in the imager array periodically inserts codes into the data stream providing information including, but not limited to, information identifying a focal plane, information identifying a row and/or column within a focal plane, and/or information identifying the relative time at which the capture or read-out process began/ended for one or more of the focal planes. Relative time information can be derived from an on-chip timer or counter, whose instantaneous value can be captured at the start/end of read-out of the pixels from each imager either at a frame rate or a line rate. Additional codes can also be added to the data output so as to indicate operating parameters such as (but not limited to) the integration time of each focal plane, and channel gain. As is discussed further below, the host controller can fully re-assemble the data stream back into the individual images captured by each focal plane. In several embodiments, the imager array includes sufficient storage to buffer at least a complete row of image data from all focal planes so as to support reordering and or retiming of the image data from all focal planes such that the data is always packaged with the same timing/ordering arrangement regardless of operating parameters such as (but not limited to) integration time and relative read-out positions. In a number of embodiments, the imager array includes sufficient storage to buffer at least a complete line of image data from all focal planes so as to support reordering and or retiming of the image data from all focal planes such that the data is packaged in a convenient manner to ease the host's reconstruction of the image data, for example retiming/reordering the image data to align the data from all focal planes to a uniform row start position for all focal planes irrespective of relative read-out position.
3.4.2. ASP Sharing
The imager array illustrated in
Although the imager array illustrated in
Sharing of ADCs between pairs of focal planes in a imager array in accordance with embodiments of the invention is illustrated in
In many embodiments, the pixels within each focal plane are consistently processed through the same circuit elements at all times such that they have consistent offset and gain characteristics. In many embodiments, the control and read-out circuits and AFE are controlled by a common clocking circuit such that the phases and time slot assignment of each focal plane are consistent. An example of the phase shift between the column read-out of the different focal planes in accordance with embodiments of the invention is illustrated in
In order to support a reduction of power when certain focal planes are not imaging, the ASP, clocking, and bias/current schemes utilized within the imager array can support multiple sample rate configurations such that the sampling rate is always P times the pixel rate of a single focal plane, where P is the number of active focal planes being processed/sampled.
A rotated variation of the resource sharing architecture illustrated in
3.4.3. Column Circuit Sharing
In another embodiment of the invention, fewer than M*N column circuits are used for sampling the pixel values of the focal planes in an imager array. A imager array 301 configured so that individual focal planes within a column of the imager array share a common column circuit block 308′ such that the device utilizes only M sets of column circuits in accordance with an embodiment of the invention is illustrated in
In several embodiments, the column circuits are time shared such that they enable read-out of pixels from focal planes above and below the column circuit. Sharing of a column circuit between pairs of focal planes within a imager array in accordance with embodiments of the invention is illustrated in
In other embodiments, variations on the imager array 301 illustrated in
A structural modification to the embodiment illustrated in
3.4.4. Number and Rate of ASPs
There are a number of different arrangements for the column sampling circuitry of imager arrays in accordance with embodiments of the invention. Often, the arrangement of the ASP circuitry follows a logical implementation of the column sampling circuits such that a single ASP is used per column circuit covering X pixels thus performing X conversions per row period. Alternatively, X ASPs can be utilized per column circuit performing one conversion per row period. In a general sense, embodiments of the invention can use P ASPs per column circuit of X pixels such that there are X/P conversions per row period. This approach is a means by which the conversion of the samples in any column circuit can be parallelized such that the overall ADC conversion process occurs at a slower rate. For example, in any of the configurations described herein it would be possible to take a column circuit arrangement that samples a number of pixels (T) and performs the analog-to-digital conversion using P ASPs, such that there are T/P conversions per row period. Given a fixed row period (as is the case with a fixed frame rate) the individual conversion rate of each ASP is reduced by the factor P. For example, if there are two ASPs, each runs at ½ the rate. If there are four, each ASP has to run at ¼ the rate. In this general sense, any number of ASPs running at a rate appropriate to a specific application irrespective of the configuration of the column circuitry can be utilized in accordance with embodiments of the invention.
3.4.5. Row Decoder Optimization
Imager arrays in accordance with embodiments of the invention possess the ability to access different rows within each focal plane at a given instant so as to enable separate operating parameters with respect to the capture of image information by the pixels of each focal plane. The row decoder is typically formed from a first combinational decode of a physical address (represented as an E bit binary number) to as many as 2E “enable” signals (often referred to as a “one-hot” representation). For example, an 8 bit physical address is decoded into 256 “enable” signals so as to support addressing into a pixel array having 256 rows of pixels. Each of these “enable” signals are in turn logically ANDED with pixel timing signals, the results of which are then applied to the pixel array so as to enable row based pixel operations such as pixel reset and pixel charge transfer.
The row decoders can be optimized to reduce silicon area through sharing of the binary to one-hot decode logic. Rather than each sub-array having a fully functional row decoder, including binary to one-hot decoding, many embodiments of the invention have a single binary to one-hot decoder for a given row of focal planes within the imager array. The “enable” outputs of this decoder are routed across all focal planes to each of the (now less functional) row decoders of each focal plane. Separate sets of pixel level timing signals would be dedicated to each focal plane (generated by the row timing and control logic circuitry) and the logical AND function would remain in each focal plane's row decoder.
Readout with such a scheme would be performed in time slots dedicated to each focal plane such that there are M timeslots per row of focal planes in the camera array. A first row within the first focal plane would be selected and the dedicated set of pixel level timing signals would be applied to its row decoder and the column circuit would sample these pixels. In the next time slot the physical address would change to point to the desired row in the next focal plane and another set of dedicated pixel level timing signals would be applied to its row decoder. Again, the column circuits would sample these pixels. The process would repeat until all focal planes within a row of focal planes in the camera array have been sampled. When the column circuits are available to sample another row from the imager array, the process can begin again.
3.5. Providing a Memory Structure to Store Image Data
An additional benefit of the separate control of the capture of image information by each focal plane in a imager array is the ability to support slow motion video capture without increasing the frame rate of the individual focal planes. In slow motion video each focal plane is read out at a slightly offset point in time. In a traditional camera, the time delta between frames (i.e. the capture frame rate) is dictated by the read-out time of a single frame. In a imager array offering support of independent read-out time of the individual focal planes, the delta between frames can be less than the read-out of an individual frame. For example, one focal plane can begin it's frame read-out when another focal plane is halfway through the read-out of its frame. Therefore an apparent doubling of the capture rate is achieved without requiring the focal planes to operate at double speed. However, when outputting the stream of images from the camera, this overlapping frame read-out from all focal planes means that there is continuous imagery to output.
Camera systems typically employ a period of time between read-out or display of image data known as the blanking period. Many systems require this blanking period in order to perform additional operations. For example, in a CRT the blanking interval is used to reposition the electron beam from the end of a line or frame to the beginning of the next line or frame. In an imager there are typically blanking intervals between lines to allow the next line of pixels to be addressed and the charge therein sampled by a sampling circuit. There can also be blanking intervals between frames to allow a longer integration time than the frame read-out time.
For an array camera operating in slow motion capture mode in accordance with an embodiment of the invention, the frame read-out is offset in time in all the focal planes such that all focal planes will enter their blanking intervals at different points in time. Therefore, there typically will not be a point in time where there is no image data to transmit. Array cameras in accordance with embodiments of the invention can include a retiming FIFO memory in the read-out path of the image data such that an artificial blanking period can be introduced during transmission. The retiming FIFO temporarily stores the image data to be transmitted from all the focal planes during the points in time where a blanking interval is introduced.
3.6. Imager Array Floor Plan
Imager arrays in accordance with embodiments of the invention can include floor plans that are optimized to minimize silicon area within the bounds of certain design constraints. Such design constraints include those imposed by the optical system. The sub-arrays of pixels forming each focal plane can be placed within the image circle of each individual lens stack of the lens array positioned above the imager array. Therefore, the manufacturing process of the lens elements typically imposes a minimum spacing distance on the imagers (i.e. a minimum pitch between the focal planes). Another consideration in the focal spacing coming from optical constraints is the magnitude of stray light that can be tolerated. In order to limit optical cross-talk between focal planes, many camera arrays in accordance with embodiments of the invention optically isolate the individual focal planes from each other. An opaque barrier can be created between the optical paths of adjacent focal planes within the lens stack. The opaque barrier extends down to the sensor cover-glass and can serve the additional purpose of providing a sensor to optics bonding surface and back focus spacer. The incursion of the opaque shield into the imaging circle of the lens can result in some level of reflection back into the focal plane. In many embodiments, the complex interplay between the optics and the imager array results in the use of an iterative process to converge to an appropriate solution balancing the design constraints of a specific application.
The space between the focal planes (i.e. the spacing distance) can be used to implement control circuitry as well as sampling circuitry including (but not limited to) ASP circuits or other circuitry utilized during the operation of the imager array. The logic circuits within the imager array can also be broken up and implemented within the spacing distance between adjacent focal planes using automatic place and routing techniques.
Although specific constraints upon the floor plans of imager arrays are described above, additional constraints can be placed upon floor plans that enable the implementation of the various logic circuits of the imager array in different areas of the device in accordance with embodiments of the invention. In many embodiments, requirements such as pixel size/performance, the optical system of the array camera, the silicon real-estate cost, and the manufacturing process used to fabricate the imager array can all drive subtle variations in the imager array overall architecture and floor plan.
3.6.1. Sampling Diversity
In many embodiments, the floor plan also accommodates focal planes that are designed to accommodate an arrangement that yields a preferred sampling diversity of the scene (i.e. the pixels within one focal plane are collecting light from a slightly shifted field of view with respect to other focal planes within the imager array). This can be achieved through a variety of techniques. In several embodiments, sampling diversity is achieved by constructing the imager array so that the focal planes are relatively offset from the centers of their respective optical paths by different subpixel amounts through a relative subpixel shift in alignment between the focal planes and their respective lenses. In many embodiments, the optical field of view are “aimed” slightly differently by an angle that corresponds to a subpixel shift in the image (an amount less than the solid angle corresponding to a single pixel). In a number of embodiments, slight microlens shifts between the focal planes is utilized to alter the particular solid angle of light captured by the microlens (which redirects the light to the pixel) thus achieving a slight subpixel shift. In certain embodiments, the focal planes are constructed with pixels having subtle differences in pixel pitch between focal planes such that sampling diversity is provided irrespective of optical alignment tolerances. For example, a 4×4 imager array can be constructed with focal planes having pixels with length and width dimensions of size 2.0 um, 2.05 um, 2.1 um, 2.15 um and 2.2 um. In other embodiments, any of a variety of pixel dimensions and/or techniques for improving sampling diversity amongst the focal planes within the imager array can be utilized as appropriate to a specific application.
4. Focal Plane Timing and Control Circuitry
Referring back to
Traditional image sensors nominally employ two rolling address pointers into the pixel array, whose role is to indicate rows to receive pixel level charge transfer signals as well as “row select” signals for connecting a given row to the column lines enabling sampling of the sense node of the pixels. In many SOC image arrays in accordance with embodiments of the invention these two rolling address pointers are expanded to 2×M×N rolling address pointers. The pointer pairs for each focal plane can either address the same rows within each focal plane or can be offset from one another with respect to a global reference.
Focal plane timing and control address pointer circuitry in accordance with an embodiment of the invention is illustrated in
5. System Power Management and Bias Generation
The system power management bias generation circuitry is configured to provide current and or voltage references to analog circuitry such as (but not limited to) the reference voltages against which an ADC would measure the signal to be converted against. In addition, system power management and bias generation circuitry in accordance with many embodiments of the invention can turn off the current/voltage references to certain circuits when they are not in use for power saving reasons. Additional power management techniques that can be implemented using power management circuitry in accordance with embodiments of the invention are discussed below.
5.1. Power Optimization
The master control block of an imager array in accordance with embodiments of the invention can manage the power consumption of the imager array. In many embodiments, the master control block reduces power consumption by “turning off” certain focal planes during modes of operation where the desired output resolution is less than the full performance of the device. In such modes, amplifiers, bias generators, ADCs and other clocked circuits associated with the focal planes that are not used are placed in a lower power state to minimize or eliminate static and dynamic power draw.
5.1.1. Preventing Carrier Migration During Imager Power Down
Despite a focal plane being in a powered down state, light is incident upon the pixels in its sub-array. Incident photons will continue to create charge carriers in the silicon substrate. If the pixels in a powered-down focal plane are left floating, the charge carriers will fill the pixel well and deplete the potential barrier making it unable to trap any further carriers. Excess carriers, created by the persistent photon flux will then be left to wander the substrate. If these excess carriers wander from an inactive focal plane into an active focal plane, and collect in the well of a pixel in an active focal plane, they would be erroneously measured to be photo-electrons that were generated within that pixel. The result can be the appearance of blooming around the periphery of the active imager caused by the tide of free carriers migrating into the active focal plane from the inactive neighbors.
To mitigate the migration of excess carriers from inactive focal planes, the photodiodes in the pixels of an inactive focal planes are connected to the power supply via transistor switches within each pixel such that the pixel well is held open to its maximum electrical potential. Holding the well open enables the photodiode to constantly collect carriers generated by the incident light and thus reduce the problem of carrier migration from an inactive imager. The transistors in each pixel are part of the normal pixel architecture i.e. the transfer gate, and it is the master control logic along with the row controllers that signal the transistors to hold the wells open.
5.1.2. Standby Mode
In many embodiments, reference pixels are used in the calibration of dark current and FPN. In several embodiments, the power management circuitry is configured to enable the powering down of the pixels in a focal plane in such a way that the reference pixels remain active. In several embodiments, this is achieved by powering the ASP during the readout of reference pixels but otherwise maintaining the ASP in a low power mode. In this way, the focal plane can be more rapidly activated by reducing the need to calibrate dark current and FPN when the focal plane is woken up. In many instances, calibration is performed with respect to dark current and FPN when the reference pixels are powered down during the low power state of the focal plane. In other embodiments, any of a variety of partial powering of circuitry can be utilized to reduce the current drawn by a focal plane and its associated peripheral circuitry in accordance with embodiments of the invention.
6. Focal Plane Data Collation and Framing Logic
Referring again to
Although specific imager array architectures are described above, alternative imager array architectures can be used to implement. Imager arrays based upon requirements, including but not limited to, pixel size/performance, the optical system of the array camera, the silicon real-estate cost, and the manufacturing process used to fabricate the imager array in accordance with embodiments of the invention. In addition, imager arrays in accordance with embodiments of the invention can be implemented using any of a variety of shapes of pixels including but not limited to square pixels, rectangular pixels, hexagonal pixels, and a variety of pixel shapes. Accordingly, the scope of the invention should be determined not by the embodiments illustrated, but by the appended claims and their equivalents.
This application is a continuation of U.S. patent application Ser. No. 14/589,263 filed Jan. 5, 2015, which application was a continuation of U.S. patent application Ser. No. 13/106,804, filed May 12, 2011 (now U.S. Pat. No. 8,928,793 issued Jan. 6, 2015), which application claimed priority to U.S. provisional patent application Ser. No. 61/334,011 filed on May 12, 2010, which are incorporated by reference herein in their entirety.
Number | Name | Date | Kind |
---|---|---|---|
4124798 | Thompson | Nov 1978 | A |
4198646 | Alexander et al. | Apr 1980 | A |
4323925 | Abell et al. | Apr 1982 | A |
4460449 | Montalbano | Jul 1984 | A |
4467365 | Murayama et al. | Aug 1984 | A |
5005083 | Grage | Apr 1991 | A |
5070414 | Tsutsumi | Dec 1991 | A |
5144448 | Hornbaker | Sep 1992 | A |
5327125 | Iwase et al. | Jul 1994 | A |
5629524 | Stettner | May 1997 | A |
5801919 | Griencewic et al. | Sep 1998 | A |
5808350 | Jack et al. | Sep 1998 | A |
5832312 | Rieger et al. | Nov 1998 | A |
5880691 | Fossum et al. | Mar 1999 | A |
5933190 | Dierickx et al. | Aug 1999 | A |
5973844 | Burger et al. | Oct 1999 | A |
6002743 | Telymonde | Dec 1999 | A |
6005607 | Uomori et al. | Dec 1999 | A |
6034690 | Gallery et al. | Mar 2000 | A |
6069351 | Mack | May 2000 | A |
6069365 | Chow et al. | May 2000 | A |
6097394 | Levoy et al. | Aug 2000 | A |
6124974 | Burger | Sep 2000 | A |
6130786 | Osawa et al. | Oct 2000 | A |
6137100 | Fossum et al. | Oct 2000 | A |
6137535 | Meyers | Oct 2000 | A |
6141048 | Meyers | Oct 2000 | A |
6160909 | Melen | Dec 2000 | A |
6163414 | Kikuchi et al. | Dec 2000 | A |
6172352 | Liu et al. | Jan 2001 | B1 |
6175379 | Uomori et al. | Jan 2001 | B1 |
6205241 | Melen | Mar 2001 | B1 |
6239909 | Hayashi et al. | May 2001 | B1 |
6340994 | Margulis et al. | Jan 2002 | B1 |
6358862 | Ireland et al. | Mar 2002 | B1 |
6443579 | Myers et al. | Sep 2002 | B1 |
6476805 | Shum et al. | Nov 2002 | B1 |
6477260 | Shimomura | Nov 2002 | B1 |
6502097 | Chan et al. | Dec 2002 | B1 |
6525302 | Dowski, Jr. et al. | Feb 2003 | B2 |
6563537 | Kawamura et al. | May 2003 | B1 |
6571466 | Glenn et al. | Jun 2003 | B1 |
6603513 | Berezin | Aug 2003 | B1 |
6611289 | Yu | Aug 2003 | B1 |
6627896 | Hashimoto | Sep 2003 | B1 |
6628330 | Lin | Sep 2003 | B1 |
6635941 | Suda | Oct 2003 | B2 |
6639596 | Shum et al. | Oct 2003 | B1 |
6657218 | Noda | Dec 2003 | B2 |
6671399 | Berestov | Dec 2003 | B1 |
6674892 | Melen et al. | Jan 2004 | B1 |
6750904 | Lambert | Jun 2004 | B1 |
6765617 | Tangen et al. | Jul 2004 | B1 |
6771833 | Edgar | Aug 2004 | B1 |
6774941 | Boisvert et al. | Aug 2004 | B1 |
6795253 | Shinohara | Sep 2004 | B2 |
6819358 | Kagle et al. | Nov 2004 | B1 |
6879735 | Portniaguine et al. | Apr 2005 | B1 |
6903770 | Kobayashi et al. | Jun 2005 | B1 |
6909121 | Nishikawa | Jun 2005 | B2 |
6927922 | George et al. | Aug 2005 | B2 |
6958862 | Joseph | Oct 2005 | B1 |
7015954 | Foote et al. | Mar 2006 | B1 |
7085409 | Sawhney | Aug 2006 | B2 |
7161614 | Yamashita et al. | Jan 2007 | B1 |
7199348 | Olsen et al. | Apr 2007 | B2 |
7235785 | Hornback et al. | Jun 2007 | B2 |
7262799 | Suda | Aug 2007 | B2 |
7292735 | Blake et al. | Nov 2007 | B2 |
7295697 | Satoh | Nov 2007 | B1 |
7369165 | Bosco et al. | May 2008 | B2 |
7391572 | Jacobowitz et al. | Jun 2008 | B2 |
7408725 | Sato | Aug 2008 | B2 |
7425984 | Chen | Sep 2008 | B2 |
7599547 | Sun et al. | Oct 2009 | B2 |
7606484 | Richards et al. | Oct 2009 | B1 |
7633511 | Shum et al. | Dec 2009 | B2 |
7639435 | Chiang et al. | Dec 2009 | B2 |
7646549 | Zalevsky et al. | Jan 2010 | B2 |
7657090 | Omatsu et al. | Feb 2010 | B2 |
7675080 | Boettiger | Mar 2010 | B2 |
7675681 | Tomikawa et al. | Mar 2010 | B2 |
7706634 | Schmitt et al. | Apr 2010 | B2 |
7723662 | Levoy et al. | May 2010 | B2 |
7738013 | Galambos et al. | Jun 2010 | B2 |
7782364 | Smith | Aug 2010 | B2 |
7826153 | Hong | Nov 2010 | B2 |
7840067 | Shen et al. | Nov 2010 | B2 |
7912673 | Hébert et al. | Mar 2011 | B2 |
7965314 | Miller et al. | Jun 2011 | B1 |
7973834 | Yang | Jul 2011 | B2 |
7986018 | Rennie | Jul 2011 | B2 |
7990447 | Honda et al. | Aug 2011 | B2 |
8000498 | Shih et al. | Aug 2011 | B2 |
8013904 | Tan et al. | Sep 2011 | B2 |
8027531 | Wilburn et al. | Sep 2011 | B2 |
8044994 | Vetro et al. | Oct 2011 | B2 |
8077245 | Adamo et al. | Dec 2011 | B2 |
8098297 | Crisan et al. | Jan 2012 | B2 |
8098304 | Pinto et al. | Jan 2012 | B2 |
8106949 | Tan et al. | Jan 2012 | B2 |
8126279 | Marcellin et al. | Feb 2012 | B2 |
8130120 | Kawabata et al. | Mar 2012 | B2 |
8131097 | Lelescu et al. | Mar 2012 | B2 |
8164629 | Zhang | Apr 2012 | B1 |
8169486 | Corcoran et al. | May 2012 | B2 |
8180145 | Wu et al. | May 2012 | B2 |
8189065 | Georgiev et al. | May 2012 | B2 |
8189089 | Georgiev | May 2012 | B1 |
8212914 | Chiu | Jul 2012 | B2 |
8213711 | Tam | Jul 2012 | B2 |
8231814 | Duparre | Jul 2012 | B2 |
8242426 | Ward et al. | Aug 2012 | B2 |
8244027 | Takahashi | Aug 2012 | B2 |
8244058 | Intwala et al. | Aug 2012 | B1 |
8254668 | Mashitani et al. | Aug 2012 | B2 |
8279325 | Pitts et al. | Oct 2012 | B2 |
8280194 | Wong et al. | Oct 2012 | B2 |
8284240 | Tubic et al. | Oct 2012 | B2 |
8289409 | Chang | Oct 2012 | B2 |
8289440 | Pitts et al. | Oct 2012 | B2 |
8290358 | Georgiev | Oct 2012 | B1 |
8294099 | Blackwell, Jr. | Oct 2012 | B2 |
8300085 | Lin et al. | Oct 2012 | B2 |
8305456 | McMahon | Nov 2012 | B1 |
8315476 | Georgiev et al. | Nov 2012 | B1 |
8345144 | Georgiev et al. | Jan 2013 | B1 |
8360574 | Ishak et al. | Jan 2013 | B2 |
8400555 | Georgiev | Mar 2013 | B1 |
8406562 | Bassi et al. | Mar 2013 | B2 |
8446492 | Nakano et al. | May 2013 | B2 |
8456517 | Mor et al. | Jun 2013 | B2 |
8493496 | Freedman et al. | Jul 2013 | B2 |
8514291 | Chang et al. | Aug 2013 | B2 |
8514491 | Duparre | Aug 2013 | B2 |
8541730 | Inuiya | Sep 2013 | B2 |
8542933 | Venkataraman | Sep 2013 | B2 |
8553093 | Wong et al. | Oct 2013 | B2 |
8559756 | Georgiev et al. | Oct 2013 | B2 |
8581995 | Lin et al. | Nov 2013 | B2 |
8619082 | Ciurea | Dec 2013 | B1 |
8648918 | Kauker et al. | Feb 2014 | B2 |
8655052 | Spooner et al. | Feb 2014 | B2 |
8682107 | Yoon et al. | Mar 2014 | B2 |
8687087 | Pertsel et al. | Apr 2014 | B2 |
8692893 | McMahon | Apr 2014 | B2 |
8754941 | Sarwari et al. | Jun 2014 | B1 |
8773536 | Zhang | Jul 2014 | B1 |
8780113 | Ciurea et al. | Jul 2014 | B1 |
8804255 | Duparre | Aug 2014 | B2 |
8830375 | Ludwig | Sep 2014 | B2 |
8831367 | Venkataraman | Sep 2014 | B2 |
8842201 | Tajiri | Sep 2014 | B2 |
8854462 | Herbin et al. | Oct 2014 | B2 |
8861089 | Duparre | Oct 2014 | B2 |
8866912 | Mullis | Oct 2014 | B2 |
8866920 | Venkataraman et al. | Oct 2014 | B2 |
8866951 | Keelan | Oct 2014 | B2 |
8878950 | Lelescu et al. | Nov 2014 | B2 |
8885059 | Venkataraman et al. | Nov 2014 | B1 |
8896594 | Xiong et al. | Nov 2014 | B2 |
8896719 | Venkataraman et al. | Nov 2014 | B1 |
8902321 | Venkataraman et al. | Dec 2014 | B2 |
8928793 | McMahon | Jan 2015 | B2 |
9019426 | Han et al. | Apr 2015 | B2 |
9025894 | Venkataraman | May 2015 | B2 |
9025895 | Venkataraman | May 2015 | B2 |
9030528 | Pesach et al. | May 2015 | B2 |
9031335 | Venkataraman | May 2015 | B2 |
9031342 | Venkataraman | May 2015 | B2 |
9031343 | Venkataraman | May 2015 | B2 |
9036928 | Venkataraman | May 2015 | B2 |
9036931 | Venkataraman | May 2015 | B2 |
9041823 | Venkataraman et al. | May 2015 | B2 |
9041824 | Lelescu | May 2015 | B2 |
9041829 | Venkataraman et al. | May 2015 | B2 |
9042667 | Venkataraman | May 2015 | B2 |
9055233 | Venkataraman et al. | Jun 2015 | B2 |
9060124 | Venkataraman et al. | Jun 2015 | B2 |
9077893 | Venkataraman et al. | Jul 2015 | B2 |
9094661 | Venkataraman et al. | Jul 2015 | B2 |
9123117 | Ciurea et al. | Sep 2015 | B2 |
9123118 | Ciurea et al. | Sep 2015 | B2 |
9124815 | Venkataraman et al. | Sep 2015 | B2 |
9124864 | Mullis | Sep 2015 | B2 |
9128228 | Duparre | Sep 2015 | B2 |
9129183 | Venkataraman et al. | Sep 2015 | B2 |
9129377 | Ciurea et al. | Sep 2015 | B2 |
9143711 | McMahon | Sep 2015 | B2 |
9147254 | Ciurea et al. | Sep 2015 | B2 |
9191580 | Venkataraman et al. | Nov 2015 | B2 |
9197821 | McMahon | Nov 2015 | B2 |
9661310 | Deng et al. | May 2017 | B2 |
9749568 | McMahon | Aug 2017 | B2 |
20010005225 | Clark et al. | Jun 2001 | A1 |
20010019621 | Hanna et al. | Sep 2001 | A1 |
20010038387 | Tomooka et al. | Nov 2001 | A1 |
20020012056 | Trevino | Jan 2002 | A1 |
20020027608 | Johnson | Mar 2002 | A1 |
20020028014 | Ono et al. | Mar 2002 | A1 |
20020039438 | Mori et al. | Apr 2002 | A1 |
20020057845 | Fossum | May 2002 | A1 |
20020063807 | Margulis | May 2002 | A1 |
20020075450 | Aratani | Jun 2002 | A1 |
20020087403 | Meyers et al. | Jul 2002 | A1 |
20020089596 | Suda | Jul 2002 | A1 |
20020094027 | Sato et al. | Jul 2002 | A1 |
20020101528 | Lee | Aug 2002 | A1 |
20020113867 | Takigawa et al. | Aug 2002 | A1 |
20020113888 | Sonoda et al. | Aug 2002 | A1 |
20020120634 | Min et al. | Aug 2002 | A1 |
20020163054 | Suda et al. | Nov 2002 | A1 |
20020167537 | Trajkovic | Nov 2002 | A1 |
20020177054 | Saitoh et al. | Nov 2002 | A1 |
20020195548 | Dowski, Jr. et al. | Dec 2002 | A1 |
20030025227 | Daniell | Feb 2003 | A1 |
20030086079 | Barth et al. | May 2003 | A1 |
20030124763 | Fan et al. | Jul 2003 | A1 |
20030140347 | Varsa | Jul 2003 | A1 |
20030179418 | Wengender et al. | Sep 2003 | A1 |
20030190072 | Adkins et al. | Oct 2003 | A1 |
20030211405 | Venkataraman | Nov 2003 | A1 |
20040003409 | Berstis et al. | Jan 2004 | A1 |
20040008271 | Hagimori et al. | Jan 2004 | A1 |
20040012689 | Tinnerino | Jan 2004 | A1 |
20040027358 | Nakao | Feb 2004 | A1 |
20040047274 | Amanai | Mar 2004 | A1 |
20040050104 | Ghosh et al. | Mar 2004 | A1 |
20040056966 | Schechner et al. | Mar 2004 | A1 |
20040061787 | Liu et al. | Apr 2004 | A1 |
20040066454 | Otani et al. | Apr 2004 | A1 |
20040096119 | Williams | May 2004 | A1 |
20040100570 | Shizukuishi | May 2004 | A1 |
20040105021 | Hu et al. | Jun 2004 | A1 |
20040114807 | Lelescu et al. | Jun 2004 | A1 |
20040141659 | Zhang et al. | Jul 2004 | A1 |
20040151401 | Sawhney et al. | Aug 2004 | A1 |
20040165090 | Ning | Aug 2004 | A1 |
20040169617 | Yelton et al. | Sep 2004 | A1 |
20040170340 | Tipping et al. | Sep 2004 | A1 |
20040174439 | Upton | Sep 2004 | A1 |
20040179008 | Gordon et al. | Sep 2004 | A1 |
20040179834 | Szajewski | Sep 2004 | A1 |
20040207836 | Chhibber et al. | Oct 2004 | A1 |
20040213449 | Safaee-Rad et al. | Oct 2004 | A1 |
20040218809 | Blake et al. | Nov 2004 | A1 |
20040234873 | Venkataraman | Nov 2004 | A1 |
20040240052 | Minefuji et al. | Dec 2004 | A1 |
20040251509 | Choi | Dec 2004 | A1 |
20040264806 | Herley | Dec 2004 | A1 |
20050006477 | Patel | Jan 2005 | A1 |
20050007461 | Chou et al. | Jan 2005 | A1 |
20050009313 | Suzuki et al. | Jan 2005 | A1 |
20050012035 | Miller | Jan 2005 | A1 |
20050036778 | DeMonte | Feb 2005 | A1 |
20050047678 | Jones et al. | Mar 2005 | A1 |
20050048690 | Yamamoto | Mar 2005 | A1 |
20050068436 | Fraenkel et al. | Mar 2005 | A1 |
20050128595 | Shimizu | Jun 2005 | A1 |
20050132098 | Sonoda et al. | Jun 2005 | A1 |
20050134698 | Schroeder | Jun 2005 | A1 |
20050134712 | Gruhlke et al. | Jun 2005 | A1 |
20050147277 | Higaki et al. | Jul 2005 | A1 |
20050151759 | Gonzalez-Banos et al. | Jul 2005 | A1 |
20050168924 | Wu et al. | Aug 2005 | A1 |
20050175257 | Kuroki | Aug 2005 | A1 |
20050185711 | Pfister et al. | Aug 2005 | A1 |
20050205785 | Hornback et al. | Sep 2005 | A1 |
20050219363 | Kohler | Oct 2005 | A1 |
20050224843 | Boemler | Oct 2005 | A1 |
20050225654 | Feldman et al. | Oct 2005 | A1 |
20050275946 | Choo et al. | Dec 2005 | A1 |
20050286612 | Takanashi | Dec 2005 | A1 |
20050286756 | Hong et al. | Dec 2005 | A1 |
20060002635 | Nestares et al. | Jan 2006 | A1 |
20060007331 | Izumi et al. | Jan 2006 | A1 |
20060018509 | Miyoshi | Jan 2006 | A1 |
20060023197 | Joel | Feb 2006 | A1 |
20060023314 | Boettiger et al. | Feb 2006 | A1 |
20060028476 | Sobel et al. | Feb 2006 | A1 |
20060029271 | Miyoshi et al. | Feb 2006 | A1 |
20060033005 | Jerdev et al. | Feb 2006 | A1 |
20060034003 | Zalevsky | Feb 2006 | A1 |
20060038891 | Okutomi et al. | Feb 2006 | A1 |
20060039611 | Rother | Feb 2006 | A1 |
20060049930 | Zruya et al. | Mar 2006 | A1 |
20060054780 | Garrood et al. | Mar 2006 | A1 |
20060054782 | Olsen | Mar 2006 | A1 |
20060055811 | Frtiz et al. | Mar 2006 | A1 |
20060069478 | Iwama | Mar 2006 | A1 |
20060072029 | Miyatake et al. | Apr 2006 | A1 |
20060087747 | Ohzawa et al. | Apr 2006 | A1 |
20060098888 | Morishita | May 2006 | A1 |
20060125936 | Gruhike et al. | Jun 2006 | A1 |
20060138322 | Costello et al. | Jun 2006 | A1 |
20060152803 | Provitola | Jul 2006 | A1 |
20060157640 | Perlman et al. | Jul 2006 | A1 |
20060159369 | Young | Jul 2006 | A1 |
20060176566 | Boettiger et al. | Aug 2006 | A1 |
20060187338 | May et al. | Aug 2006 | A1 |
20060197937 | Bamji et al. | Sep 2006 | A1 |
20060203100 | Ajito et al. | Sep 2006 | A1 |
20060203113 | Wada et al. | Sep 2006 | A1 |
20060210186 | Berkner | Sep 2006 | A1 |
20060214085 | Olsen | Sep 2006 | A1 |
20060221250 | Rossbach et al. | Oct 2006 | A1 |
20060239549 | Kelly et al. | Oct 2006 | A1 |
20060243889 | Farnworth et al. | Nov 2006 | A1 |
20060251410 | Trutna | Nov 2006 | A1 |
20060274174 | Tewinkle | Dec 2006 | A1 |
20060278948 | Yamaguchi et al. | Dec 2006 | A1 |
20060279648 | Senba et al. | Dec 2006 | A1 |
20060289772 | Johnson et al. | Dec 2006 | A1 |
20070002159 | Olsen | Jan 2007 | A1 |
20070008575 | Yu et al. | Jan 2007 | A1 |
20070024614 | Tam | Feb 2007 | A1 |
20070036427 | Nakamura et al. | Feb 2007 | A1 |
20070040828 | Zalevsky et al. | Feb 2007 | A1 |
20070040922 | McKee et al. | Feb 2007 | A1 |
20070041391 | Lin et al. | Feb 2007 | A1 |
20070052825 | Cho | Mar 2007 | A1 |
20070083114 | Yang et al. | Apr 2007 | A1 |
20070085917 | Kobayashi | Apr 2007 | A1 |
20070102622 | Olsen et al. | May 2007 | A1 |
20070126898 | Feldman | Jun 2007 | A1 |
20070127831 | Venkataraman | Jun 2007 | A1 |
20070139333 | Sato et al. | Jun 2007 | A1 |
20070140685 | Wu et al. | Jun 2007 | A1 |
20070146511 | Kinoshita et al. | Jun 2007 | A1 |
20070158427 | Zhu et al. | Jul 2007 | A1 |
20070159541 | Sparks et al. | Jul 2007 | A1 |
20070160310 | Tanida et al. | Jul 2007 | A1 |
20070165931 | Higaki | Jul 2007 | A1 |
20070171290 | Kroger | Jul 2007 | A1 |
20070182843 | Shimamura et al. | Aug 2007 | A1 |
20070201859 | Sarrat et al. | Aug 2007 | A1 |
20070206241 | Smith et al. | Sep 2007 | A1 |
20070211164 | Olsen et al. | Sep 2007 | A1 |
20070216765 | Wong et al. | Sep 2007 | A1 |
20070228256 | Mentzer | Oct 2007 | A1 |
20070257184 | Olsen et al. | Nov 2007 | A1 |
20070258006 | Olsen et al. | Nov 2007 | A1 |
20070258706 | Raskar et al. | Nov 2007 | A1 |
20070263114 | Gurevich et al. | Nov 2007 | A1 |
20070268374 | Robinson | Nov 2007 | A1 |
20070296832 | Ota et al. | Dec 2007 | A1 |
20070296835 | Olsen | Dec 2007 | A1 |
20070296847 | Chang et al. | Dec 2007 | A1 |
20080006859 | Mionetto et al. | Jan 2008 | A1 |
20080019611 | Larkin | Jan 2008 | A1 |
20080024683 | Damera-Venkata et al. | Jan 2008 | A1 |
20080025649 | Liu et al. | Jan 2008 | A1 |
20080030592 | Border et al. | Feb 2008 | A1 |
20080030597 | Olsen et al. | Feb 2008 | A1 |
20080043095 | Vetro et al. | Feb 2008 | A1 |
20080043096 | Vetro et al. | Feb 2008 | A1 |
20080054518 | Ra et al. | Mar 2008 | A1 |
20080062164 | Bassi et al. | Mar 2008 | A1 |
20080079805 | Takagi et al. | Apr 2008 | A1 |
20080080028 | Bakin et al. | Apr 2008 | A1 |
20080084486 | Enge et al. | Apr 2008 | A1 |
20080088793 | Sverdrup et al. | Apr 2008 | A1 |
20080095523 | Schilling-Benz et al. | Apr 2008 | A1 |
20080099804 | Venezia et al. | May 2008 | A1 |
20080106620 | Sawachi et al. | May 2008 | A1 |
20080112635 | Kondo et al. | May 2008 | A1 |
20080118241 | Tekolste et al. | May 2008 | A1 |
20080131019 | Ng | Jun 2008 | A1 |
20080131107 | Ueno | Jun 2008 | A1 |
20080151097 | Chen et al. | Jun 2008 | A1 |
20080152215 | Horie et al. | Jun 2008 | A1 |
20080152296 | Oh et al. | Jun 2008 | A1 |
20080156991 | Hu et al. | Jul 2008 | A1 |
20080158259 | Kempf et al. | Jul 2008 | A1 |
20080158375 | Kakkori et al. | Jul 2008 | A1 |
20080158698 | Chang et al. | Jul 2008 | A1 |
20080165257 | Boettiger et al. | Jul 2008 | A1 |
20080174670 | Olsen et al. | Jul 2008 | A1 |
20080187305 | Raskar et al. | Aug 2008 | A1 |
20080193026 | Horie et al. | Aug 2008 | A1 |
20080218610 | Chapman et al. | Sep 2008 | A1 |
20080218612 | Border et al. | Sep 2008 | A1 |
20080219654 | Border et al. | Sep 2008 | A1 |
20080239116 | Smith | Oct 2008 | A1 |
20080240598 | Hasegawa | Oct 2008 | A1 |
20080247638 | Tanida et al. | Oct 2008 | A1 |
20080247653 | Moussavi et al. | Oct 2008 | A1 |
20080272416 | Yun | Nov 2008 | A1 |
20080273751 | Yuan et al. | Nov 2008 | A1 |
20080278591 | Barna et al. | Nov 2008 | A1 |
20080278610 | Boettiger et al. | Nov 2008 | A1 |
20080298674 | Baker et al. | Dec 2008 | A1 |
20090027543 | Kanehiro et al. | Jan 2009 | A1 |
20090050946 | Duparre et al. | Feb 2009 | A1 |
20090052743 | Techmer | Feb 2009 | A1 |
20090060281 | Tanida et al. | Mar 2009 | A1 |
20090086074 | Li et al. | Apr 2009 | A1 |
20090091806 | Inuiya | Apr 2009 | A1 |
20090096050 | Park | Apr 2009 | A1 |
20090102956 | Georgiev | Apr 2009 | A1 |
20090109306 | Shan | Apr 2009 | A1 |
20090128644 | Camp, Jr. et al. | May 2009 | A1 |
20090128833 | Yahav | May 2009 | A1 |
20090129667 | Ho | May 2009 | A1 |
20090140131 | Utagawa et al. | Jun 2009 | A1 |
20090152664 | Klem et al. | Jun 2009 | A1 |
20090167922 | Perlman et al. | Jul 2009 | A1 |
20090179142 | Duparre et al. | Jul 2009 | A1 |
20090180021 | Kikuchi et al. | Jul 2009 | A1 |
20090200622 | Tai et al. | Aug 2009 | A1 |
20090201371 | Matsuda et al. | Aug 2009 | A1 |
20090207235 | Francini et al. | Aug 2009 | A1 |
20090219435 | Yuan et al. | Sep 2009 | A1 |
20090225203 | Tanida et al. | Sep 2009 | A1 |
20090237520 | Kaneko | Sep 2009 | A1 |
20090245573 | Saptharishi et al. | Oct 2009 | A1 |
20090256947 | Ciurea et al. | Oct 2009 | A1 |
20090263017 | Tanbakuchi | Oct 2009 | A1 |
20090268192 | Koenck et al. | Oct 2009 | A1 |
20090268970 | Babacan et al. | Oct 2009 | A1 |
20090268983 | Stone | Oct 2009 | A1 |
20090274387 | Jin | Nov 2009 | A1 |
20090284651 | Srinivasan | Nov 2009 | A1 |
20090297056 | Lelescu et al. | Dec 2009 | A1 |
20090302205 | Olsen et al. | Dec 2009 | A9 |
20090322876 | Lee | Dec 2009 | A1 |
20090323195 | Hembree et al. | Dec 2009 | A1 |
20090323206 | Oliver et al. | Dec 2009 | A1 |
20090324118 | Maslov et al. | Dec 2009 | A1 |
20100002126 | Wenstrand et al. | Jan 2010 | A1 |
20100002313 | Duparre et al. | Jan 2010 | A1 |
20100002314 | Duparre | Jan 2010 | A1 |
20100007714 | Kim et al. | Jan 2010 | A1 |
20100013927 | Nixon | Jan 2010 | A1 |
20100044815 | Chang et al. | Feb 2010 | A1 |
20100053342 | Hwang | Mar 2010 | A1 |
20100053600 | Tanida | Mar 2010 | A1 |
20100060746 | Olsen et al. | Mar 2010 | A9 |
20100073463 | Momonoi et al. | Mar 2010 | A1 |
20100074532 | Gordon et al. | Mar 2010 | A1 |
20100085425 | Tan | Apr 2010 | A1 |
20100086227 | Sun et al. | Apr 2010 | A1 |
20100091389 | Henriksen et al. | Apr 2010 | A1 |
20100097491 | Farina et al. | Apr 2010 | A1 |
20100103259 | Tanida et al. | Apr 2010 | A1 |
20100103308 | Butterfield et al. | Apr 2010 | A1 |
20100111444 | Coffman | May 2010 | A1 |
20100118127 | Nam | May 2010 | A1 |
20100128145 | Pitts et al. | May 2010 | A1 |
20100133230 | Henriksen et al. | Jun 2010 | A1 |
20100133418 | Sargent et al. | Jun 2010 | A1 |
20100141802 | Knight | Jun 2010 | A1 |
20100142828 | Chang et al. | Jun 2010 | A1 |
20100142839 | Lakus-Becker | Jun 2010 | A1 |
20100157073 | Kondo et al. | Jun 2010 | A1 |
20100165152 | Lim | Jul 2010 | A1 |
20100166410 | Chang | Jul 2010 | A1 |
20100177411 | Hegde et al. | Jul 2010 | A1 |
20100194860 | Mentz et al. | Aug 2010 | A1 |
20100194901 | van Hoorebeke et al. | Aug 2010 | A1 |
20100195716 | Klein et al. | Aug 2010 | A1 |
20100201834 | Maruyama et al. | Aug 2010 | A1 |
20100208100 | Olsen et al. | Aug 2010 | A9 |
20100220212 | Perlman et al. | Sep 2010 | A1 |
20100223237 | Mishra et al. | Sep 2010 | A1 |
20100231285 | Boomer et al. | Sep 2010 | A1 |
20100238327 | Griffith et al. | Sep 2010 | A1 |
20100244165 | Lake et al. | Sep 2010 | A1 |
20100254627 | Panahpour Tehrani et al. | Oct 2010 | A1 |
20100265381 | Yamamoto et al. | Oct 2010 | A1 |
20100265385 | Knight et al. | Oct 2010 | A1 |
20100281070 | Chan et al. | Nov 2010 | A1 |
20100290483 | Park | Nov 2010 | A1 |
20100302423 | Adams, Jr. et al. | Dec 2010 | A1 |
20100309292 | Ho et al. | Dec 2010 | A1 |
20100321595 | Chiu et al. | Dec 2010 | A1 |
20100321640 | Yeh et al. | Dec 2010 | A1 |
20100329556 | Mitarai et al. | Dec 2010 | A1 |
20110001037 | Tewinkle | Jan 2011 | A1 |
20110018973 | Takayama | Jan 2011 | A1 |
20110019048 | Raynor et al. | Jan 2011 | A1 |
20110019243 | Constant, Jr. et al. | Jan 2011 | A1 |
20110031381 | Tay et al. | Feb 2011 | A1 |
20110032370 | Ludwig | Feb 2011 | A1 |
20110043661 | Podoleanu | Feb 2011 | A1 |
20110043665 | Ogasahara | Feb 2011 | A1 |
20110043668 | McKinnon et al. | Feb 2011 | A1 |
20110044502 | Liu et al. | Feb 2011 | A1 |
20110069189 | Venkataraman et al. | Mar 2011 | A1 |
20110080487 | Venkataraman et al. | Apr 2011 | A1 |
20110090217 | Mashitani et al. | Apr 2011 | A1 |
20110108708 | Olsen et al. | May 2011 | A1 |
20110121421 | Charbon | May 2011 | A1 |
20110122308 | Duparre | May 2011 | A1 |
20110128393 | Tavi et al. | Jun 2011 | A1 |
20110128412 | Milnes et al. | Jun 2011 | A1 |
20110129165 | Lim et al. | Jun 2011 | A1 |
20110142138 | Tian et al. | Jun 2011 | A1 |
20110149408 | Hahgholt et al. | Jun 2011 | A1 |
20110149409 | Haugholt et al. | Jun 2011 | A1 |
20110153248 | Gu et al. | Jun 2011 | A1 |
20110157321 | Nakajima et al. | Jun 2011 | A1 |
20110169994 | DiFrancesco et al. | Jul 2011 | A1 |
20110176020 | Chang | Jul 2011 | A1 |
20110193944 | Lian et al. | Aug 2011 | A1 |
20110207074 | Hall-Holt et al. | Aug 2011 | A1 |
20110211824 | Georgiev et al. | Sep 2011 | A1 |
20110221599 | Högasten | Sep 2011 | A1 |
20110221658 | Haddick et al. | Sep 2011 | A1 |
20110221939 | Jerdev | Sep 2011 | A1 |
20110221950 | Oostra | Sep 2011 | A1 |
20110222757 | Yeatman, Jr. et al. | Sep 2011 | A1 |
20110228142 | Brueckner | Sep 2011 | A1 |
20110228144 | Tian et al. | Sep 2011 | A1 |
20110234841 | Akeley et al. | Sep 2011 | A1 |
20110241234 | Duparre | Oct 2011 | A1 |
20110242342 | Goma et al. | Oct 2011 | A1 |
20110242355 | Goma et al. | Oct 2011 | A1 |
20110242356 | Aleksic et al. | Oct 2011 | A1 |
20110255592 | Sung | Oct 2011 | A1 |
20110255745 | Hodder et al. | Oct 2011 | A1 |
20110261993 | Weiming et al. | Oct 2011 | A1 |
20110267264 | McCarthy et al. | Nov 2011 | A1 |
20110267348 | Lin | Nov 2011 | A1 |
20110273531 | Ito et al. | Nov 2011 | A1 |
20110274366 | Tardif | Nov 2011 | A1 |
20110279721 | Mcmahon | Nov 2011 | A1 |
20110285701 | Chen et al. | Nov 2011 | A1 |
20110285866 | Bhrugumalla et al. | Nov 2011 | A1 |
20110285910 | Bamji et al. | Nov 2011 | A1 |
20110298917 | Yanagita | Dec 2011 | A1 |
20110300929 | Tardif et al. | Dec 2011 | A1 |
20110310980 | Mathew | Dec 2011 | A1 |
20110316968 | Taguchi et al. | Dec 2011 | A1 |
20110317766 | Lim, II et al. | Dec 2011 | A1 |
20120012748 | Pain et al. | Jan 2012 | A1 |
20120014456 | Martinez Bauza et al. | Jan 2012 | A1 |
20120023456 | Sun et al. | Jan 2012 | A1 |
20120026297 | Sato | Feb 2012 | A1 |
20120026342 | Yu et al. | Feb 2012 | A1 |
20120039525 | Tian et al. | Feb 2012 | A1 |
20120044249 | Mashitani et al. | Feb 2012 | A1 |
20120044372 | Côté et al. | Feb 2012 | A1 |
20120051624 | Ando et al. | Mar 2012 | A1 |
20120057040 | Park et al. | Mar 2012 | A1 |
20120062702 | Jiang et al. | Mar 2012 | A1 |
20120069235 | Imai | Mar 2012 | A1 |
20120081519 | Goma | Apr 2012 | A1 |
20120086803 | Malzbender et al. | Apr 2012 | A1 |
20120105691 | Waqas et al. | May 2012 | A1 |
20120113232 | Joblove et al. | May 2012 | A1 |
20120113413 | Miahczylowicz-Wolski et al. | May 2012 | A1 |
20120127275 | Von Zitzewitz et al. | May 2012 | A1 |
20120147139 | Li et al. | Jun 2012 | A1 |
20120147205 | Lelescu et al. | Jun 2012 | A1 |
20120153153 | Chang et al. | Jun 2012 | A1 |
20120154551 | Inoue | Jun 2012 | A1 |
20120163672 | McKinnon | Jun 2012 | A1 |
20120169433 | Mullins | Jul 2012 | A1 |
20120170134 | Bolis et al. | Jul 2012 | A1 |
20120176479 | Mayhew et al. | Jul 2012 | A1 |
20120188389 | Lin et al. | Jul 2012 | A1 |
20120188420 | Black et al. | Jul 2012 | A1 |
20120188634 | Kubala et al. | Jul 2012 | A1 |
20120198677 | Duparre | Aug 2012 | A1 |
20120200734 | Tang | Aug 2012 | A1 |
20120219236 | Ali et al. | Aug 2012 | A1 |
20120229628 | Ishiyama et al. | Sep 2012 | A1 |
20120249550 | Akeley et al. | Oct 2012 | A1 |
20120249750 | Izzat et al. | Oct 2012 | A1 |
20120249836 | Ali et al. | Oct 2012 | A1 |
20120249853 | Krolczyk et al. | Oct 2012 | A1 |
20120262607 | Shimura et al. | Oct 2012 | A1 |
20120268574 | Gidon et al. | Oct 2012 | A1 |
20120274626 | Hsieh et al. | Nov 2012 | A1 |
20120287291 | McMahon et al. | Nov 2012 | A1 |
20120290257 | Hodge et al. | Nov 2012 | A1 |
20120293489 | Chen et al. | Nov 2012 | A1 |
20120293624 | Chen et al. | Nov 2012 | A1 |
20120293695 | Tanaka | Nov 2012 | A1 |
20120307099 | Yahata et al. | Dec 2012 | A1 |
20120314033 | Lee, III et al. | Dec 2012 | A1 |
20120314937 | Kim et al. | Dec 2012 | A1 |
20120327222 | Ng et al. | Dec 2012 | A1 |
20130002828 | Ding et al. | Jan 2013 | A1 |
20130003184 | Duparre | Jan 2013 | A1 |
20130010073 | Do | Jan 2013 | A1 |
20130016885 | Tsujimoto et al. | Jan 2013 | A1 |
20130022111 | Chen et al. | Jan 2013 | A1 |
20130027580 | Olsen et al. | Jan 2013 | A1 |
20130033579 | Wajs | Feb 2013 | A1 |
20130033585 | Li et al. | Feb 2013 | A1 |
20130038696 | Ding et al. | Feb 2013 | A1 |
20130050504 | Safaee-Rad et al. | Feb 2013 | A1 |
20130050526 | Keelan | Feb 2013 | A1 |
20130057710 | McMahon | Mar 2013 | A1 |
20130070060 | Chatterjee | Mar 2013 | A1 |
20130076967 | Brunner et al. | Mar 2013 | A1 |
20130077880 | Venkataraman et al. | Mar 2013 | A1 |
20130077882 | Venkataraman et al. | Mar 2013 | A1 |
20130088489 | Schmeitz et al. | Apr 2013 | A1 |
20130088637 | Duparre | Apr 2013 | A1 |
20130113899 | Morohoshi et al. | May 2013 | A1 |
20130120605 | Georgiev et al. | May 2013 | A1 |
20130128068 | Georgiev et al. | May 2013 | A1 |
20130128069 | Georgiev et al. | May 2013 | A1 |
20130128087 | Georgiev et al. | May 2013 | A1 |
20130128121 | Agarwala et al. | May 2013 | A1 |
20130147979 | McMahon et al. | Jun 2013 | A1 |
20130215108 | McMahon et al. | Aug 2013 | A1 |
20130215231 | Hiramoto et al. | Aug 2013 | A1 |
20130222556 | Shimada | Aug 2013 | A1 |
20130223759 | Nishiyama et al. | Aug 2013 | A1 |
20130229540 | Farina et al. | Sep 2013 | A1 |
20130230237 | Schlosser et al. | Sep 2013 | A1 |
20130258067 | Zhang et al. | Oct 2013 | A1 |
20130259317 | Gaddy | Oct 2013 | A1 |
20130265459 | Duparre et al. | Oct 2013 | A1 |
20130274923 | By et al. | Oct 2013 | A1 |
20130293760 | Nisenzon et al. | Nov 2013 | A1 |
20140002674 | Duparre et al. | Jan 2014 | A1 |
20140009586 | McNamer et al. | Jan 2014 | A1 |
20140037137 | Broaddus et al. | Feb 2014 | A1 |
20140037140 | Benhimane et al. | Feb 2014 | A1 |
20140043507 | Wang et al. | Feb 2014 | A1 |
20140076336 | Clayton et al. | Mar 2014 | A1 |
20140079336 | Venkataraman et al. | Mar 2014 | A1 |
20140092281 | Nisenzon et al. | Apr 2014 | A1 |
20140104490 | Hsieh et al. | Apr 2014 | A1 |
20140118493 | Sali et al. | May 2014 | A1 |
20140132810 | McMahon | May 2014 | A1 |
20140146201 | Knight et al. | May 2014 | A1 |
20140176592 | Wilburn et al. | Jun 2014 | A1 |
20140186045 | Poddar et al. | Jul 2014 | A1 |
20140192253 | Laroia | Jul 2014 | A1 |
20140198188 | Izawa | Jul 2014 | A1 |
20140204183 | Lee et al. | Jul 2014 | A1 |
20140218546 | McMahon | Aug 2014 | A1 |
20140232822 | Venkataraman et al. | Aug 2014 | A1 |
20140240528 | Venkataraman et al. | Aug 2014 | A1 |
20140240529 | Venkataraman et al. | Aug 2014 | A1 |
20140253738 | Mullis | Sep 2014 | A1 |
20140267243 | Venkataraman et al. | Sep 2014 | A1 |
20140267286 | Duparre | Sep 2014 | A1 |
20140267633 | Venkataraman et al. | Sep 2014 | A1 |
20140267762 | Mullis et al. | Sep 2014 | A1 |
20140267890 | Lelescu et al. | Sep 2014 | A1 |
20140285675 | Mullis | Sep 2014 | A1 |
20140313315 | Shoham et al. | Oct 2014 | A1 |
20140321712 | Ciurea et al. | Oct 2014 | A1 |
20140333731 | Venkataraman et al. | Nov 2014 | A1 |
20140333764 | Venkataraman et al. | Nov 2014 | A1 |
20140333787 | Venkataraman et al. | Nov 2014 | A1 |
20140340539 | Venkataraman et al. | Nov 2014 | A1 |
20140347509 | Venkataraman et al. | Nov 2014 | A1 |
20140347748 | Duparre | Nov 2014 | A1 |
20140354773 | Venkataraman et al. | Dec 2014 | A1 |
20140354843 | Venkataraman et al. | Dec 2014 | A1 |
20140354844 | Venkataraman et al. | Dec 2014 | A1 |
20140354853 | Venkataraman et al. | Dec 2014 | A1 |
20140354854 | Venkataraman et al. | Dec 2014 | A1 |
20140354855 | Venkataraman et al. | Dec 2014 | A1 |
20140355870 | Venkataraman et al. | Dec 2014 | A1 |
20140368662 | Venkataraman et al. | Dec 2014 | A1 |
20140368683 | Venkataraman et al. | Dec 2014 | A1 |
20140368684 | Venkataraman et al. | Dec 2014 | A1 |
20140368685 | Venkataraman et al. | Dec 2014 | A1 |
20140368686 | Duparre | Dec 2014 | A1 |
20140369612 | Venkataraman et al. | Dec 2014 | A1 |
20140369615 | Venkataraman et al. | Dec 2014 | A1 |
20140376825 | Venkataraman et al. | Dec 2014 | A1 |
20140376826 | Venkataraman et al. | Dec 2014 | A1 |
20150003752 | Venkataraman et al. | Jan 2015 | A1 |
20150003753 | Venkataraman et al. | Jan 2015 | A1 |
20150009353 | Venkataraman et al. | Jan 2015 | A1 |
20150009354 | Venkataraman et al. | Jan 2015 | A1 |
20150009362 | Venkataraman et al. | Jan 2015 | A1 |
20150015669 | Venkataraman et al. | Jan 2015 | A1 |
20150035992 | Mullis | Feb 2015 | A1 |
20150036014 | Lelescu et al. | Feb 2015 | A1 |
20150036015 | Lelescu et al. | Feb 2015 | A1 |
20150042766 | Ciurea et al. | Feb 2015 | A1 |
20150042767 | Ciurea et al. | Feb 2015 | A1 |
20150042833 | Lelescu et al. | Feb 2015 | A1 |
20150049915 | Ciurea et al. | Feb 2015 | A1 |
20150049916 | Ciurea et al. | Feb 2015 | A1 |
20150049917 | Ciurea et al. | Feb 2015 | A1 |
20150055884 | Venkataraman et al. | Feb 2015 | A1 |
20150091900 | Yang et al. | Apr 2015 | A1 |
20150104101 | Bryant et al. | Apr 2015 | A1 |
20150122411 | Rodda et al. | May 2015 | A1 |
20150124113 | Rodda et al. | May 2015 | A1 |
20150124151 | Rodda et al. | May 2015 | A1 |
20160249001 | McMahon | Aug 2016 | A1 |
20160269626 | McMahon | Sep 2016 | A1 |
20170048468 | Pain et al. | Feb 2017 | A1 |
Number | Date | Country |
---|---|---|
1839394 | Sep 2006 | CN |
102037717 | Apr 2011 | CN |
0840502 | May 1998 | EP |
1201407 | May 2002 | EP |
1734766 | Dec 2006 | EP |
2104334 | Sep 2009 | EP |
2336816 | Jun 2011 | EP |
59025483 | Sep 1984 | JP |
64037177 | Jul 1989 | JP |
02285772 | Nov 1990 | JP |
0715457 | Jan 1995 | JP |
11142609 | May 1999 | JP |
11223708 | Aug 1999 | JP |
2000209503 | Jul 2000 | JP |
2001008235 | Jan 2001 | JP |
2001194114 | Jul 2001 | JP |
2001264033 | Sep 2001 | JP |
2001337263 | Dec 2001 | JP |
2002205310 | Jul 2002 | JP |
2002252338 | Sep 2002 | JP |
2003094445 | Apr 2003 | JP |
2003163938 | Jun 2003 | JP |
2003298920 | Oct 2003 | JP |
2004221585 | Aug 2004 | JP |
2005116022 | Apr 2005 | JP |
2005181460 | Jul 2005 | JP |
2005295381 | Oct 2005 | JP |
2006033493 | Feb 2006 | JP |
2006047944 | Feb 2006 | JP |
2006258930 | Sep 2006 | JP |
2007520107 | Jul 2007 | JP |
2007259136 | Oct 2007 | JP |
2008055908 | Mar 2008 | JP |
2008507874 | Mar 2008 | JP |
2008258885 | Oct 2008 | JP |
2009132010 | Jun 2009 | JP |
2009300268 | Dec 2009 | JP |
2011030184 | Feb 2011 | JP |
2011109484 | Jun 2011 | JP |
2013526801 | Jun 2013 | JP |
2014521117 | Aug 2014 | JP |
20110097647 | Aug 2011 | KR |
200939739 | Sep 2009 | TW |
2007083579 | Jul 2007 | WO |
2008045198 | Apr 2008 | WO |
2008108271 | Sep 2008 | WO |
2008108926 | Sep 2008 | WO |
2008150817 | Dec 2008 | WO |
2009151903 | Dec 2009 | WO |
2011008443 | Jan 2011 | WO |
2011055655 | May 2011 | WO |
2011063347 | May 2011 | WO |
2011105814 | Sep 2011 | WO |
2011116203 | Sep 2011 | WO |
2011063347 | Oct 2011 | WO |
2011143501 | Nov 2011 | WO |
2012057619 | May 2012 | WO |
2012057620 | May 2012 | WO |
2012057620 | May 2012 | WO |
2012057621 | May 2012 | WO |
2012057622 | May 2012 | WO |
2012057623 | May 2012 | WO |
2012074361 | Jun 2012 | WO |
2012078126 | Jun 2012 | WO |
2012082904 | Jun 2012 | WO |
2012155119 | Nov 2012 | WO |
2013003276 | Jan 2013 | WO |
2013043751 | Mar 2013 | WO |
2013043761 | Mar 2013 | WO |
2013049699 | Apr 2013 | WO |
2013055960 | Apr 2013 | WO |
2013119706 | Aug 2013 | WO |
2013126578 | Aug 2013 | WO |
2014032020 | Feb 2014 | WO |
2014052974 | Apr 2014 | WO |
2014078443 | May 2014 | WO |
2014130849 | Aug 2014 | WO |
2014133974 | Sep 2014 | WO |
2014138695 | Sep 2014 | WO |
2014138697 | Sep 2014 | WO |
2014144157 | Sep 2014 | WO |
2014145856 | Sep 2014 | WO |
2014149403 | Sep 2014 | WO |
2014149902 | Sep 2014 | WO |
2014150856 | Sep 2014 | WO |
2014159721 | Oct 2014 | WO |
2014159779 | Oct 2014 | WO |
2014160142 | Oct 2014 | WO |
2014164550 | Oct 2014 | WO |
2014164909 | Oct 2014 | WO |
2014165244 | Oct 2014 | WO |
2015048694 | Apr 2015 | WO |
2014133974 | Sep 2015 | WO |
Entry |
---|
US 8,957,977, 02/2015, Venkataraman et al. (withdrawn) |
US 8,964,053, 02/2015, Venkataraman et al. (withdrawn) |
US 8,965,058, 02/2015, Venkataraman et al. (withdrawn) |
US 9,014,491, 04/2015, Venkataraman et al. (withdrawn) |
Bruckner et al., “Driving microoptical imaging systems towards miniature camera applications”, Proc. SPIE, Micro-Optics, 2010, 11 pgs. |
Bruckner et al., “Thin wafer-level camera lenses inspired by insect compound eyes”, Optics Express, Nov. 22, 2010, vol. 18, No. 24, pp. 24379-24394. |
Capel, “Image Mosaicing and Super-resolution”, Retrieved on Nov. 10, 2012, from URL<http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.226.2643&rep=rep1 &type=pdf>, 2001, 269 pgs. |
Chan et al., “Extending the Depth of Field in a Compound-Eye Imaging System with Super-Resolution Reconstruction”, Proceedings—International Conference on Pattern Recognition, 2006, vol. 3, pp. 623-626. |
Chan et al., “Investigation of Computational Compound-Eye Imaging System with Super-Resolution Reconstruction”, IEEE, ISASSP 2006, 2006, pp. IV-1177-IV-1180. |
Chan et al., “Super-resolution reconstruction in a computational compound-eye imaging system”, Multidim Syst Sign Process, 2007, vol. 18, pp. 83-101. |
Chen et al., “Interactive deformation of light fields”, In Proceedings of SIGGRAPH I3D 2005, 2005, pp. 139-146. |
Chen et al., “KNN Matting”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Sep. 2013, vol. 35, No. 9, pp. 2175-2188. |
Drouin et al., “Fast Multiple-Baseline Stereo with Occlusion”, Proceedings of the Fifth International Conference on 3-D Digital Imaging and Modeling, 2005, 8 pgs. |
Drouin et al., “Geo-Consistency for Wide Multi-Camera Stereo”, Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2005, 8 pgs. |
Drouin et al., “Improving Border Localization of Multi-Baseline Stereo Using Border-Cut”, International Journal of Computer Vision, Jul. 2009, vol. 83, Issue 3, 8 pgs. |
Duparre et al., “Artificial apposition compound eye fabricated by micro-optics technology”, Applied Optics, Aug. 1, 2004, vol. 43, No. 22, pp. 4303-4310. |
Duparre et al., “Artificial compound eye zoom camera”, Bioinspiration & Biomimetics, 2008, vol. 3, pp. 1-6. |
Duparre et al., “Artificial compound eyes—different concepts and their application to ultra flat image acquisition sensors”, MOEMS and Miniaturized Systems IV, Proc. SPIE 5346, Jan. 2004, pp. 89-100. |
Duparre et al., “Chirped arrays of refractive ellipsoidal microlenses for aberration correction under oblique incidence”, Optics Express, Dec. 26, 2005, vol. 13, No. 26, pp. 10539-10551. |
Duparre et al., “Micro-optical artificial compound eyes”, Bioinspiration & Biomimetics, 2006, vol. 1, pp. R1-R16. |
Duparre et al., “Microoptical artificial compound eyes—from design to experimental verification of two different concepts”, Proc. of SPIE, Optical Design and Engineering II, 2005, vol. 5962, pp. 59622A-1-59622A-12. |
Duparre et al., “Microoptical Artificial Compound Eyes—Two Different Concepts for Compact Imaging Systems”, 11th Microoptics Conference, Oct. 30-Nov. 2, 2005, 2 pgs. |
Duparre et al., “Microoptical telescope compound eye”, Optics Express, Feb. 7, 2005, vol. 13, No. 3, pp. 889-903. |
Duparre et al., “Micro-optically fabricated artificial apposition compound eye”, Electronic Imaging—Science and Technology, Prod. SPIE 5301, Jan. 2004, pp. 25-33. |
Duparre et al., “Novel Optics/Micro-Optics for Miniature Imaging Systems”, Proc. of SPIE, 2006, vol. 6196, pp. 619607-1-619607-15. |
Duparre et al., “Theoretical analysis of an artificial superposition compound eye for application in ultra flat digital image acquisition devices”, Optical Systems Design, Proc. SPIE 5249, Sep. 2003, pp. 408-418. |
Duparre et al., “Thin compound-eye camera”, Applied Optics, May 20, 2005, vol. 44, No. 15, pp. 2949-2956. |
Duparre et al., “Ultra-Thin Camera Based on Artificial Apposition Compound Eyes”, 10th Microoptics Conference, Sep. 1-3, 2004, 2 pgs. |
Fanaswala, “Regularized Super-Resolution of Multi-View Images”, Retrieved on Nov. 10, 2012 (Nov. 10, 2012) from URL<http://www.site.uottawa.ca/-edubois/theses/Fanaswala_thesis.pdf>, Aug. 2009, 163 pgs. |
Farrell et al., “Resolution and Light Sensitivity Tradeoff with Pixel Size”, Proceedings of the SPIE Electronic Imaging 2006 Conference, 2006, vol. 6069, 8 pgs. |
Farsiu et al., “Advances and Challenges in Super-Resolution”, International Journal of Imaging Systems and Technology, 2004, vol. 14, pp. 47-57. |
Farsiu et al., “Fast and Robust Multiframe Super Resolution”, IEEE Transactions on Image Processing, Oct. 2004, vol. 13, No. 10, pp. 1327-1344. |
Farsiu et al., “Multiframe Demosaicing and Super-Resolution of Color Images”, IEEE Transactions on Image Processing, Jan. 2006, vol. 15, No. 1, pp. 141-159. |
Feris et al., “Multi-Flash Stereopsis: Depth Edge Preserving Stereo with Small Baseline Illumination”, IEEE Trans on PAMI, 2006, 31 pgs. |
Fife et al., “A 3D Multi-Aperture Image Sensor Architecture”, Custom Integrated Circuits Conference, CICC '06, IEEE, 2006, pp. 281-284. |
Fife et al., “A 3MPixel Multi-Aperture Image Sensor with 0.7Mu Pixels in 0.11Mu CMOS”, ISSCC 2008, Session 2, Image Sensors & Technology, 2008, pp. 48-50. |
Fischer et al., “Optical System Design”, 2nd Edition, SPIE Press, Feb. 14, 2008, pp. 191-198. |
Fischer et al., “Optical System Design”, 2nd Edition, SPIE Press, Feb. 14, 2008, pp. 49-58. |
Goldman et al., “Video Object Annotation, Navigation, and Composition”, In Proceedings of UIST 2008, Oct. 19-22, 2008, pp. 3-12. |
Gortler et al., “The Lumigraph”, In Proceedings of SIGGRAPH 1996, 1996, pp. 43-54. |
Hacohen et al., “Non-Rigid Dense Correspondence with Applications for Image Enhancement”, ACM Transactions on Graphics, 30, 4, 2011, pp. 70:1-70:10. |
Hamilton, “JPEG File Interchange Format, Version 1.02”, Sep. 1, 1992, 9 pgs. |
Hardie, “A Fast Image Super-Algorithm Using an Adaptive Wiener Filter”, IEEE Transactions on Image Processing, Dec. 2007, vol. 16, No. 12, pp. 2953-2964. |
Hasinoff et al., “Search-and-Replace Editing for Personal Photo Collections”, Computational Photography (ICCP) 2010, 2010, pp. 1-8. |
Horisaki et al., “Irregular Lens Arrangement Design to Improve Imaging Performance of Compound-Eye Imaging Systems”, Applied Physics Express, 2010, vol. 3, pp. 022501-1-022501-3. |
Horisaki et al., “Superposition Imaging for Three-Dimensionally Space-Invariant Point Spread Functions”, Applied Physics Express, 2011, vol. 4, pp. 112501-1-112501-3. |
Horn et al., “LightShop: Interactive Light Field Manipulation and Rendering”, In Proceedings of I3D 2007, 2007, pp. 121-128. |
Isaksen et al., “Dynamically Reparameterized Light Fields”, In Proceedings of SIGGRAPH 2000, 2000, pp. 297-306. |
Jarabo et al., “Efficient Propagation of Light Field Edits”, In Proceedings of SIACG 2011, 2011, pp. 75-80. |
Joshi et al., “Synthetic Aperture Tracking: Tracking Through Occlusions”, I CCV IEEE 11th International Conference on Computer Vision; Publication [online]. Oct. 2007, retrieved from the internet Jul. 28, 2014,: <URL: http:I/ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4409032&isnumber=4408819>; pp. 1-8. |
Kang et al., “Handling Occlusions inn Dense Multi-View Stereo”, Computer Vision and Pattern Recognition, 2001, vol. 1, pp. 1-103-1-110. |
Kitamura et al., “Reconstruction of a high-resolution image on a compound-eye image-capturing system”, Applied Optics, Mar. 10, 2004, vol. 43, No. 8, pp. 1719-1727. |
Krishnamurthy et al., “Compression and Transmission of Depth Maps for Image-Based Rendering”, Image Processing, 2001, pp. 828-831. |
Kutulakos et al., “Occluding Contour Detection Using Affine Invariants and Purposive Viewpoint Control”, Proc. CVPR '94, 1994, 8 pgs. |
Lai et al., “A Large-Scale Hierarchical Multi-View RGB-D Object Dataset”, May 2011, 8 pgs. |
Lee et al., “Electroactive Polymer Actuator for Lens-Drive Unit in Auto-Focus Compact Camera Module”, ETRI Journal, vol. 31, No. 6, Dec. 2009, pp. 695-702. |
Lensvector, “How LensVector Autofocus Works”, printed Nov. 2, 2012 from http://www.lensvector.com/overview.html, 1 pg. |
Levin et al., “A Closed Form Solution to Natural Image Matting”, Pattern Analysis and Machine Intelligence, Feb. 2008, vol. 30, 8 pgs. |
Levoy, “Light Fields and Computational Imaging”, IEEE Computer Society, Aug. 2006, pp. 46-55. |
Extended European Search Report for European Application EP12782935.6, completed Aug. 28, 2014, dated Sep. 4, 2014, 7 Pgs. |
Extended European Search Report for European Application EP12804266.0, Report Completed Jan. 27, 2015, dated Feb. 3, 2015, 6 Pgs. |
Extended European Search Report for European Application EP12835041.0, Report Completed Jan. 28, 2015, dated Feb. 4, 2015, 7 Pgs. |
International Preliminary Report on Patentability for International Application No. PCT/US2012/059813, Search Completed Apr. 15, 2014, 7 pgs. |
International Preliminary Report on Patentability for International Application No. PCT/US2013/059991, dated Mar. 17, 2015, dated Mar. 26, 2015, 8 pgs. |
International Preliminary Report on Patentability for International Application PCT/US13/56065, dated Feb. 24, 2015, dated Mar. 5, 2015, 4 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US13/62720, Report Issued Mar. 31, 2015, dated Apr. 9, 2015, 8 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2013/024987, dated Aug. 12, 2014, 13 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2013/027146, Completed Apr. 2, 2013, dated Aug. 26, 2014, 10 pgs. |
International Preliminary Report on Patentability for International Application PCT/US2013/039155, completed Nov. 4, 2014, dated Nov. 13, 2014, 10 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2013/046002, dated Dec. 31, 2014, dated Jan. 8, 2015, 6 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2013/048772, dated Dec. 31, 2014, dated Jan. 8, 2015, 8 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2013/056502, dated Feb. 24, 2015, dated Mar. 5, 2015, 7 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2013/069932, dated May 19, 2015, dated May 28, 2015, 14 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2014/017766, dated Aug. 25, 2015, dated Sep. 3, 2015, 8 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2014/018084, dated Aug. 25, 2015, dated Sep. 3, 2015, 11 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2014/018116, dated Sep. 15, 2015, dated Sep. 24, 2015, 12 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2014/022118, dated Sep. 8, 2015, dated Sep. 17, 2015, 4 pgs. |
International Preliminary Report on Patentability for International Application PCT/US2014/022123, dated Sep. 8, 2015, dated Sep. 17, 2015, 4 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2014/023762, dated Mar. 2, 2015, dated Mar. 9, 2015, 10 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2014/024407, dated Sep. 15, 2015, dated Sep. 24, 2015, 8 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2014/024903, dated Sep. 15, 2015, dated Sep. 24, 2015, 12 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2014/024947, dated Sep. 15, 2015, dated Sep. 24, 2015, 7 Pgs. |
International Preliminary Report on Patentability for International Application PCT/US2014/025100, dated Sep. 15, 2015, dated Sep. 24, 2015, 4 Pgs. |
Levoy et al., “Light Field Rendering”, Proc. ADM SIGGRAPH '96, 1996, pp. 1-12. |
Li et al., “A Hybrid Camera for Motion Deblurring and Depth Map Super-Resolution”, Jun. 23-28, 2008, IEEE Conference on Computer Vision and Pattern Recognition, 8 pgs. Retrieved from www.eecis.udel.edu/˜jye/lab_research/08/deblur-feng.pdf on Feb. 5, 2014. |
Liu et al., “Virtual View Reconstruction Using Temporal Information”, 2012 IEEE International Conference on Multimedia and Expo, 2012, pp. 115-120. |
Lo et al., “Stereoscopic 3D Copy & Paste”, ACM Transactions on Graphics, vol. 29, No. 6, Article 147, Dec. 2010, pp. 147:1-147:10. |
Merkle et al., “Adaptation and optimization of coding algorithms for mobile 3DTV”, Mobile3DTV Project No. 216503, Nov. 2008, 55 pgs. |
Mitra et al., “Light Field Denoising, Light Field Superresolution and Stereo Camera Based Refocussing using a GMM Light Field Patch Prior”, Computer Vision and Pattern Recognition Workshops (CVPRW), 2012 IEEE Computer Society Conference, Jun. 16-21, 2012, pp. 22-28. |
Moreno-Noguer et al., “Active Refocusing of Images and Videos”, ACM SIGGRAPH, Jul. 2007, vol. 26, pp. 1-10, [retrieved on Jul. 8, 2015], Retrieved from the Internet <URL:http://doi.acm.org/1 0.1145/1276377.1276461 >. |
Muehlebach, “Camera Auto Exposure Control for VSLAM Applications”, Studies on Mechatronics, Swiss Federal Institute of Technology Zurich, Autumn Term 2010 course, 67 pgs. |
Nayar, “Computational Cameras: Redefining the Image”, IEEE Computer Society, Aug. 2006, pp. 30-38. |
Ng, “Digital Light Field Photography”, Thesis, Jul. 2006, 203 pgs. |
Ng et al., “Super-Resolution Image Restoration from Blurred Low-Resolution Images”, Journal of Mathematical Imaging and Vision, 2005, vol. 23, pp. 367-378. |
Nitta et al., “Image reconstruction for thin observation module by bound optics by using the iterative backprojection method”, Applied Optics, May 1, 2006, vol. 45, No. 13, pp. 2893-2900. |
Nomura et al., “Scene Collages and Flexible Camera Arrays”, Proceedings of Eurographics Symposium on Rendering, 2007, 12 pgs. |
Park et al., “Super-Resolution Image Reconstruction”, IEEE Signal Processing Magazine, May 2003, pp. 21-36. |
Perwass et al., “Single Lens 3D-Camera with Extended Depth-of-Field”, printed from www.raytrix.de, Jan. 2012, 15 pgs. |
Pham et al., “Robust Super-Resolution without Regularization”, Journal of Physics: Conference Series 124, 2008, pp. 1-19. |
Philips 3D Solutions, “3D Interface Specifications, White Paper”, Philips 3D Solutions retrieved from www.philips.com/3dsolutions, 29 pgs., Feb. 15, 2008. |
Polight, “Designing Imaging Products Using Reflowable Autofocus Lenses”, retrieved from http://www.polight.no/tunable-polymer-autofocus-lens-html--11.html on Nov. 2, 2012, 1 page. |
Pouydebasque et al., “Varifocal liquid lenses with integrated actuator, high focusing power and low operating voltage fabricated on 200 mm wafers”, Sensors and Actuators A: Physical, vol. 172, Issue 1, Dec. 2011, pp. 280-286. |
Protter et al., “Generalizing the Nonlocal-Means to Super-Resolution Reconstruction”, IEEE Transactions on Image Processing, Jan. 2009, vol. 18, No. 1, pp. 36-51. |
Radtke et al., “Laser lithographic fabrication and characterization of a spherical artificial compound eye”, Optics Express, Mar. 19, 2007, vol. 15, No. 6, pp. 3067-3077. |
Rajan et al., “Simultaneous Estimation of Super Resolved Scene and Depth Map from Low Resolution Defocused Observations”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, No. 9, Sep. 2003, pp. 1-16. |
Rander et al., “Virtualized Reality: Constructing Time-Varying Virtual Worlds From Real World Events”, Proc. of IEEE Visualization '97, Phoenix, Arizona, Oct. 19-24, 1997, pp. 277-283, 552. |
Rhemann et al, “Fast Cost-Volume Filtering for Visual Correspondence and Beyond”, IEEE Trans. Pattern Anal. Mach. Intell, 2013, vol. 35, No. 2, pp. 504-511. |
Robertson et al., “Dynamic Range Improvement Through Multiple Exposures”, In Proc. of the Int. Conf. on Image Processing, 1999, 5 pgs. |
Robertson et al., “Estimation-theoretic approach to dynamic range enhancement using multiple exposures”, Journal of Electronic Imaging, Apr. 2003, vol. 12, No. 2, pp. 219-228. |
Roy et al., “Non-Uniform Hierarchical Pyramid Stereo for Large Images”, Computer and Robot Vision, 2007, pp. 208-215. |
Sauer et al., “Parallel Computation of Sequential Pixel Updates in Statistical Tomographic Reconstruction”, ICIP 1995, 1995, pp. 93-96. |
Seitz et al., “Plenoptic Image Editing”, International Journal of Computer Vision 48, Issue 2, Jul. 2002, pp. 115-129. |
Shum et al., “Pop-Up Light Field: An Interactive Image-Based Modeling and Rendering System”, Apr. 2004, ACM Transactions on Graphics, vol. 23, No. 2, pp. 143-162. Retrieved from http://131.107.65.14/en-us/um/people/jiansun/papers/PopupLightField_TOG.pdf on Feb. 5, 2014. |
Stollberg et al., “The Gabor superlens as an alternative wafer-level camera approach inspired by superposition compound eyes of nocturnal insects”, Optics Express, Aug. 31, 2009, vol. 17, No. 18, pp. 15747-15759. |
Sun et al., “Image Super-Resolution Using Gradient Profile Prior”, 2008 IEEE Conference on Computer Vision and Pattern Recognition, Jun. 23-28, 2008, 8 pgs. |
Takeda et al., “Super-resolution Without Explicit Subpixel Motion Estimation”, IEEE Transaction on Image Processing, Sep. 2009, vol. 18, No. 9, pp. 1958-1975. |
Tallon et al., “Upsampling and Denoising of Depth Maps Via Joint-Segmentation”, 20th European Signal Processing Conference, Aug. 27-31, 2012, 5 pgs. |
Tanida et al., “Color imaging with an integrated compound imaging system”, Optics Express, Sep. 8, 2003, vol. 11, No. 18, pp. 2109-2117. |
Tanida et al., “Thin observation module by bound optics (TOMBO): concept and experimental verification”, Applied Optics, Apr. 10, 2001, vol. 40, No. 11, pp. 1806-1813. |
Taylor, “Virtual camera movement: The way of the future?”, American Cinematographer vol. 77, No. 9, Sep. 1996, 93-100. |
Vaish et al., “Reconstructing Occluded Surfaces Using Synthetic Apertures: Stereo, Focus and Robust Measures”, Proceeding, CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2006, vol. 2, pp. 2331-2338. |
Vaish et al., “Synthetic Aperture Focusing Using a Shear-Warp Factorization of the Viewing Transform”, IEEE Workshop on A3DISS, CVPR, 2005, 8 pgs. |
Vaish et al., “Using Plane + Parallax for Calibrating Dense Camera Arrays”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2004, 8 pgs. |
Veilleux, “CCD Gain Lab: The Theory”, University of Maryland, College Park-Observational Astronomy (ASTR 310), Oct. 19, 2006, pp. 1-5 (online), [retrieved on May 13, 2014]. Retrieved from the Internet <URL: http://www.astro.umd.edu/˜veilleux/ASTR310/fall06/ccd_theory.pdf, 5 pgs. |
Vuong et al., “A New Auto Exposure and Auto White-Balance Algorithm to Detect High Dynamic Range Conditions Using CMOS Technology”, Proceedings of the World Congress on Engineering and Computer Science 2008, WCECS 2008, Oct. 22-24, 2008, 5 pages. |
Wang, “Calculation Image Position, Size and Orientation Using First Order Properties”, OPTI 521 Tutorial, Dec. 29, 2010, 10 pgs. |
Wetzstein et al., “Computational Plenoptic Imaging”, Computer Graphics Forum, 2011, vol. 30, No. 8, pp. 2397-2426. |
Wheeler et al., “Super-Resolution Image Synthesis Using Projections Onto Convex Sets in the Frequency Domain”, Proc. SPIE, 2005, 5674, 12 pgs. |
Wikipedia, “Polarizing Filter (Photography)”, retrieved from http://en.wikipedia.org/wiki/Polarizing_filter_(photography) on Dec. 12, 2012, 5 pgs. |
Wilburn, “High Performance Imaging Using Arrays of Inexpensive Cameras”, Thesis of Bennett Wilburn, Dec. 2004, 128 pgs. |
Wilburn et al., “High Performance Imaging Using Large Camera Arrays”, ACM Transactions on Graphics, Jul. 2005, vol. 24, No. 3, pp. 1-12. |
Wilburn et al., “High-Speed Videography Using a Dense Camera Array”, Proceeding, CVPR'04 Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004, pp. 294-301. |
Wilburn et al., “The Light Field Video Camera”, Proceedings of Media Processors 2002, SPIE Electronic Imaging, 2002, 8 pgs. |
Wippermann et al., “Design and fabrication of a chirped array of refractive ellipsoidal micro-lenses for an apposition eye camera objective”, Proceedings of SPIE, Optical Design and Engineering II, Oct. 15, 2005, 59622C-1-59622C-11. |
Yang et al., “A Real-Time Distributed Light Field Camera”, Eurographics Workshop on Rendering, 2002, pp. 1-10. |
Yang et al., “Superresolution Using Preconditioned Conjugate Gradient Method”, Proceedings of SPIE—The International Society for Optical Engineering, Jul. 2002, 8 pgs. |
Zhang et al., “A Self-Reconfigurable Camera Array”, Eurographics Symposium on Rendering, 2004, 12 pgs. |
Zhang et al., “Depth estimation, spatially variant image registration, and super-resolution using a multi-lenslet camera”, Proceedings of SPIE, vol. 7705, Apr. 23, 2010, pp. 770505-770505-8, XP055113797 ISSN: 0277-786X, DOI: 10.1117/12.852171. |
Zomet et al., “Robust Super-Resolution”, IEEE, 2001, pp. 1-6. |
International Search Report and Written Opinion for International Application No. PCT/US13/46002, completed Nov. 13, 2013, dated Nov. 29, 2013, 7 pgs. |
International Search Report and Written Opinion for International Application No. PCT/US13/56065, Completed Nov. 25, 2013, dated Nov. 26, 2013, 8 pgs. |
International Search Report and Written Opinion for International Application No. PCT/US13/59991, Completed Feb. 6, 2014, dated Feb. 26, 2014, 8 pgs. |
International Search Report and Written Opinion for International Application No. PCT/US2011/64921, Completed Feb. 25, 2011, dated Mar. 6, 2012, 17 pgs. |
International Search Report and Written Opinion for International Application No. PCT/US2013/024987, Completed Mar. 27, 2013, dated Apr. 15, 2013, 14 pgs. |
International Search Report and Written Opinion for International Application No. PCT/US2013/027146, completed Apr. 2, 2013, 12 pgs. |
International Search Report and Written Opinion for International Application No. PCT/US2013/039155, completed Jul. 1, 2013, dated Jul. 11, 2013, 11 Pgs. |
International Search Report and Written Opinion for International Application No. PCT/US2013/048772, Completed Oct. 21, 2013, dated Nov. 8, 2013, 6 pgs. |
International Search Report and Written Opinion for International Application No. PCT/US2013/056502, Completed Feb. 18, 2014, dated Mar. 19, 2014, 7 pgs. |
International Search Report and Written Opinion for International Application No. PCT/US2013/069932, Completed Mar. 14, 2014, dated Apr. 14, 2014, 12 pgs. |
International Search Report and Written Opinion for International Application No. PCT/US2015/019529, completed May 5, 2015, dated Jun. 8, 2015, 11 Pgs. |
International Search Report and Written Opinion for International Application PCT/US11/36349, completed Aug. 11, 2011, dated Aug. 22, 2011, 11 pgs. |
International Search Report and Written Opinion for International Application PCT/US13/62720, completed Mar. 25, 2014, dated Apr. 21, 2014, 9 Pgs. |
International Search Report and Written Opinion for International Application PCT/US14/024903, completed Jun. 12, 2014, dated Jun. 27, 2014, 13 pgs. |
International Search Report and Written Opinion for International Application PCT/US14/17766, completed May 28, 2014, dated Jun. 18, 2014, 9 Pgs. |
International Search Report and Written Opinion for International Application PCT/US14/18084, completed May 23, 2014, dated Jun. 10, 2014, 12 Pgs. |
International Search Report and Written Opinion for International Application PCT/US14/18116, completed May 13, 2014, dated Jun. 2, 2014, 12 pgs. |
International Search Report and Written Opinion for International Application PCT/US14/21439, completed Jun. 5, 2014, dated Jun. 20, 2014, 10 Pgs. |
International Search Report and Written Opinion for International Application PCT/US14/22118, completed Jun. 9, 2014, dated Jun. 25, 2014, 5 pgs. |
International Search Report and Written Opinion for International Application PCT/US14/22774 report completed Jun. 9, 2014, dated Jul. 14, 2014, 6 Pgs. |
International Search Report and Written Opinion for International Application PCT/US14/24407, report completed Jun. 11, 2014, dated Jul. 8, 2014, 9 Pgs. |
International Search Report and Written Opinion for International Application PCT/US14/25100, report completed Jul. 7, 2014, dated Aug. 7, 2014 5 Pgs. |
International Search Report and Written Opinion for International Application PCT/US14/25904 report completed Jun. 10, 2014, dated Jul. 10, 2014, 6 Pgs. |
International Search Report and Written Opinion for International Application PCT/US2009/044687, completed Jan. 5, 2010, dated Jan. 13, 2010, 9 pgs. |
International Search Report and Written Opinion for International Application PCT/US2010/057661, completed Mar. 9, 2011, dated Mar. 17, 2011, 14 pgs. |
International Search Report and Written Opinion for International Application PCT/US2012/044014, completed Oct. 12, 2012, dated Oct. 26, 2012, 15 pgs. |
International Search Report and Written Opinion for International Application PCT/US2012/056151, completed Nov. 14, 2012, dated Nov. 30, 2012, 10 pgs. |
International Search Report and Written Opinion for International Application PCT/US2012/059813, completed Dec. 17, 2012, dated Jan. 7, 2013, 8 pgs. |
International Search Report and Written Opinion for International Application PCT/US2012/37670, Completed Jul. 5, 2012, dated Jul. 18, 2012, 9 pgs. |
International Search Report and Written Opinion for International Application PCT/US2012/58093, completed Nov. 15, 2012, dated Nov. 29, 2012, 12 pgs. |
International Search Report and Written Opinion for International Application PCT/US2014/022123, completed Jun. 9, 2014, dated Jun. 25, 2014, 5 pgs. |
International Search Report and Written Opinion for International Application PCT/US2014/024947, Completed Jul. 8, 2014, dated Aug. 5, 2014, 8 Pgs. |
International Search Report and Written Opinion for International Application PCT/US2014/028447, completed Jun. 30, 2014, dated Jul. 21, 2014, 8 Pgs. |
International Search Report and Written Opinion for International Application PCT/US2014/030692, completed Jul. 28, 2014, dated Aug. 27, 2014, 7 Pgs. |
International Search Report and Written Opinion for International Application PCT/US2014/064693, Completed Mar. 7, 2015, dated Apr. 2, 2015, 15 pgs. |
International Search Report and Written Opinion for International Application PCT/US2014/066229, Completed Mar. 6, 2015, dated Mar. 19, 2015, 9 Pgs. |
International Search Report and Written Opinion for International Application PCT/US2014/067740, Completed Jan. 29, 2015, dated Mar. 3 2015, 10 pgs. |
International Search Report and Written Opinion for International Application PCT/US2014/23762, Completed May 30, 2014, dated Jul. 3, 2014, 6 Pgs. |
Office Action for U.S. Appl. No. 12/952,106, dated Aug. 16, 2012, 12 pgs. |
Baker et al., “Limits on Super-Resolution and How to Break Them”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Sep. 2002, vol. 24, No. 9, pp. 1167-1183. |
Bertero et al., “Super-resolution in computational imaging”, Micron, 2003, vol. 34, Issues 6-7, 17 pgs. |
Bishop et al., “Full-Resolution Depth Map Estimation from an Aliased Plenoptic Light Field”, ACCV 2010, Part II, LNCS 6493, 2010, pp. 186-200. |
Bishop et al., “Light Field Superresolution”, Computational Photography (ICCP), 2009 IEEE International Conference, 2009, 9 pgs. |
Bishop et al., “The Light Field Camera: Extended Depth of Field, Aliasing, and Superresolution”, IEEE Transactions on Pattern Analysis and Machine Intelligence, May 2012, vol. 34, No. 5, pp. 972-986. |
Borman, “Topics in Multiframe Superresolution Restoration”, Thesis of Sean Borman, Apr. 2004, 282 pgs. |
Borman et al, “Image Sequence Processing”, Source unknown, Oct. 14, 2002, 81 pgs. |
Borman et al., “Block-Matching Sub-Pixel Motion Estimation from Noisy, Under-Sampled Frames—An Empirical Performance Evaluation”, Proc SPIE, Dec. 1998, 3653, 10 pgs. |
Borman et al., “Image Resampling and Constraint Formulation for Multi-Frame Super-Resolution Restoration”, Proc. SPIE, Jun. 2003, 5016, 12 pgs. |
Borman et al., “Linear models for multi-frame super-resolution restoration under non-affine registration and spatially varying PSF”, Proc. SPIE, May 2004, vol. 5299, 12 pgs. |
Borman et al., “Nonlinear Prediction Methods for Estimation of Clique Weighting Parameters in NonGaussian Image Models”, Proc. SPIE, 1998, 3459, 9 pgs. |
Borman et al., “Simultaneous Multi-Frame Map Super-Resolution Video Enhancement Using Spatio-Temporal Priors”, Image Processing, ICIP '99 Proceedings, 1999, vol. 3, pp. 469-473. |
Borman et al., “Super-Resolution from Image Sequences—A Review”, Circuits & Systems, 1998, pp. 374-378. |
Bose et al., “Superresolution and Noise Filtering Using Moving Least Squares”, IEEE Transactions on Image Processing, vol. 15, Issue 8, Aug. 2006, pp. 2239-2248. |
Boye et al., “Comparison of Subpixel Image Registration Algorithms”, Proc. of SPIE—IS&T Electronic Imaging, 2009, vol. 7246, pp. 72460X-1-72460X-9. |
Bruckner et al., “Artificial compound eye applying hyperacuity”, Optics Express, Dec. 11, 2006, vol. 14, No. 25, pp. 12076-12084. |
“Light fields and computational photography”, Stanford Computer Graphics Laboratory, Retrieved from: http://graphics.stanford.edu/projects/lightfield/, Earliest publication online: Feb. 10, 1997, 3 pgs. |
Fecker et al., “Depth Map Compression for Unstructured Lumigraph Rendering”, Proc. SPIE 6077, Proceedings Visual Communications and Image Processing 2006, Jan. 18, 2006, pp. 60770B-1-60770B-8. |
Georgeiv et al., “Light Field Camera Design for Integral View Photography”, Adobe Systems Incorporated, Adobe Technical Report, 2003, 13 pgs. |
Georgiev et al., “Light-Field Capture by Multiplexing in the Frequency Domain”, Adobe Systems Incorporated, Adobe Technical Report, 2003, 13 pgs. |
Kubota et al., “Reconstructing Dense Light Field From Array of Multifocus Images for Novel View Synthesis”, IEEE Transactions on Image Processing, vol. 16, No. 1, Jan. 2007, pp. 269-279. |
Li et al., “Fusing Images With Different Focuses Using Support Vector Machines”, IEEE Transactions on Neural Networks, vol. 15, No. 6, Nov. 8, 2004, pp. 1555-1561. |
Stober, “Stanford researchers developing 3-D camera with 12,616 lenses”, Stanford Report, Mar. 19, 2008, Retrieved from: http://news.stanford.edu/news/2008/march19/camera-031908.html, 5 pgs. |
Taguchi et al., “Rendering-Oriented Decoding for a Distributed Multiview Coding System Using a Coset Code”, Hindawi Publishing Corporation, EURASIP Journal on Image and Video Processing, vol. 2009, Article ID 251081, Online: Apr. 22, 2009, 12 pages. |
Vetro et al., “Coding Approaches for End-To-End 3D TV Systems”, Mitsubishi Electric Research Laboratories, Inc., TR2004-137, Dec. 2004, 6 pgs. |
Wieringa et al., “Remote Non-invasive Stereoscopic Imaging of Blood Vessels: First In-vivo Results of a New Multispectral Contrast Enhancement Technology”, Annals of Biomedical Engineering, vol. 34, No. 12, Dec. 2006, pp. 1870-1878, Published online Oct. 12, 2006. |
Xu, Ruifeng , “Real-Time Realistic Rendering and High Dynamic Range Image Display and Compression”, Dissertation, School of Computer Science in the College of Engineering and Computer Science at the University of Central Florida, Orlando, Florida, Fall Term 2005, 192 pgs. |
Extended European Search Report for EP Application No. 11781313.9, Completed Oct. 1, 2013, dated Oct. 8, 2013, 6 pages. |
International Preliminary Report on Patentability for International Application PCT/US2011/036349, dated Nov. 13, 2012, dated Nov. 22, 2012, 9 pages. |
NG et al., “Light Field Photography with a Hand-held Plenoptic Camera”, Stanford Tech Report CTSR 2005-02, Apr. 20, 2005, pp. 1-11. |
Van Der Wal et al., “The Acadia Vision Processor”, Proceedings Fifth IEEE International Workshop on Computer Architectures for Machine Perception, Sep. 13, 2000, Padova, Italy, pp. 31-40. |
Number | Date | Country | |
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20160269627 A1 | Sep 2016 | US |
Number | Date | Country | |
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61334011 | May 2010 | US |
Number | Date | Country | |
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Parent | 14589263 | Jan 2015 | US |
Child | 14880907 | US | |
Parent | 13106804 | May 2011 | US |
Child | 14589263 | US |