YCBCR PULSED ILLUMINATION SCHEME IN A LIGHT DEFICIENT ENVIRONMENT

Abstract

The disclosure extends to methods, systems, and computer program products for producing an image in light deficient environments with luminance and chrominance emitted from a controlled light source.

Description

BACKGROUND

Advances in technology have provided advances in imaging capabilities for medical use. One area that has enjoyed some of the most beneficial advances is that of endoscopic surgical procedures because of the advances in the components that make up an endoscope.

The disclosure relates generally to electromagnetic sensing and sensors in relation to creating a video stream having chrominance and luminance pulses from a controlled light source. The features and advantages of the disclosure will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by the practice of the disclosure without undue experimentation. The features and advantages of the disclosure may be realized and obtained by means of the instruments and combinations particularly pointed out herein.

BRIEF DESCRIPTION OF THE DRAWINGS

Non-limiting and non-exhaustive implementations of the disclosure are described with reference to the following figures, wherein like reference numerals refer to like parts throughout the various views unless otherwise specified. Advantages of the disclosure will become better understood with regard to the following description and accompanying drawings.

FIG. 1 illustrates a graphical representation of the operation of a pixel array in accordance with the principles and teachings of the disclosure;

FIG. 2 illustrates a graphical representation of a pixel array for a plurality of frames in accordance with the principles and teachings of the disclosure;

FIG. 3A illustrates a schematic of an embodiment of an operation sequence of chrominance and luminance frames in accordance with the principles and teachings of the disclosure;

FIG. 3B illustrates a schematic of an embodiment of an operation sequence of chrominance and luminance frames in accordance with the principles and teachings of the disclosure;

FIG. 3C illustrates a schematic of an embodiment of an operation sequence of chrominance and luminance frames in accordance with the principles and teachings of the disclosure;

FIG. 4 illustrates an embodiment of sensor and emitter modulation in accordance with the principles and teachings of the disclosure;

FIG. 5 illustrates an embodiment of sensor and emitter patterns in accordance with the principles and teachings of the disclosure;

FIG. 6A illustrates an embodiment of sensor and emitter patterns in accordance with the principles and teachings of the disclosure;

FIG. 6B illustrates an embodiment of sensor and emitter patterns in accordance with the principles and teachings of the disclosure;

FIG. 7 illustrates a graphical representation of the operation of a pixel array having pixels of differing pixel sensitivities in accordance with the principles and teachings of the disclosure;

FIG. 8 illustrates a graphical representation of the operation of a pixel array having pixels of differing pixel sensitivities in accordance with the principles and teachings of the disclosure;

FIG. 9 illustrates a flow chart of the operation of a pixel array in accordance with the principles and teachings of the disclosure;

FIG. 10 illustrates a flow chart of the operation of a pixel array in accordance with the principles and teachings of the disclosure;

FIG. 11 illustrates a flow chart of the operation of a pixel array in accordance with the principles and teachings of the disclosure;

FIG. 12A illustrates a graphical representation of the operation of a pixel array in accordance with the principles and teachings of the disclosure;

FIG. 12B illustrates a graphical representation of the operation of a pixel array in accordance with the principles and teachings of the disclosure;

FIG. 13 illustrates an embodiment of supporting hardware in accordance with the principles and teachings of the disclosure;

FIGS. 14A and 14B illustrate an implementation having a plurality of pixel arrays for producing a three dimensional image in accordance with the teachings and principles of the disclosure;

FIGS. 15A and 15B illustrate a perspective view and a side view, respectively, of an implementation of an imaging sensor built on a plurality of substrates, wherein a plurality of pixel columns forming the pixel array are located on the first substrate and a plurality of circuit columns are located on a second substrate and showing an electrical connection and communication between one column of pixels to its associated or corresponding column of circuitry; and

FIGS. 16A and 16B illustrate a perspective view and a side view, respectively, of an implementation of an imaging sensor having a plurality of pixel arrays for producing a three dimensional image, wherein the plurality of pixel arrays and the image sensor are built on a plurality of substrates.

DETAILED DESCRIPTION

The disclosure extends to methods, systems, and computer based products for digital imaging that may be primarily suited to medical applications. In the following description of the disclosure, reference is made to the accompanying drawings, which form a part hereof, and in which is shown by way of illustration specific implementations in which the disclosure may be practiced. It is understood that other implementations may be utilized and structural changes may be made without departing from the scope of the disclosure.

Luminance-chrominance based color spaces date back to the advent of color television, when color image transmission was required to be compatible with older monochrome CRTs. The luminance component corresponds to the (color-agnostic) brightness aspect of the image data. The color information is carried in the remaining two channels. The separation of image data into the luminance and chrominance components is still an important process in modern digital imaging systems, since it is closely related to the human visual system.

The human retina contains arrays of two basic photoreceptor cell types; rods and cones. The rods provide the brightness information and have about a factor-20 greater overall spatial density than the cones. The cones are much less sensitive and there are three basic types, having peak responses at three different wavelengths. The spectral response of the rods, which peaks in the green region, is the basis for computing luminance color-space conversion coefficients. Since rods have the greater density, the spatial resolution of an image representation is much more important for the luminance component than for either chrominance component. Camera designers and image processing engineers seek to account for this fact in several ways, e.g., by spatially filtering the chrominance channels to reduce noise and by affording greater relative system bandwidth to luminance data.

In describing the subject matter of the disclosure, the following terminology will be used in accordance with the definitions set out below.

It must be noted that, as used in this specification, the singular forms “a,” “an,” and “the” include plural referents unless the context clearly dictates otherwise.

As used herein, the terms “comprising,” “including,” “containing,” “characterized by,” and grammatical equivalents thereof are inclusive or open-ended terms that do not exclude additional, unrecited elements or method steps.

As used herein, the phrase “consisting of” and grammatical equivalents thereof exclude any element or step not specified.

As used herein, the phrase “consisting essentially of” and grammatical equivalents thereof limit the scope of a claim, if any, to the specified materials or steps and those that do not materially affect the basic and novel characteristic or characteristics of the claimed disclosure.

As used herein, the term “proximal” shall refer broadly to the concept of a portion nearest an origin.

As used herein, the term “distal” shall generally refer to the opposite of proximal, and thus to the concept of a portion farther from an origin, or a furthest portion, depending upon the context.

Referring now to the figures, FIG. 1 illustrates the basic timing of single frame capture by a conventional CMOS sensor. Co-pending U.S. patent application Ser. No. 13/952,518 entitled CONTINUOUS VIDEO IN A LIGHT DEFICIENT ENVIRONMENT is hereby incorporated by this reference into this disclosure as if fully set forth herein. It will be appreciated that the x direction corresponds to time and the diagonal lines indicate the activity of an internal pointer that reads out each frame of data, one line at time. The same pointer is responsible for resetting each row of pixels for the next exposure period. The net integration time for each row is equivalent, but they are staggered in time with respect to one another due to the rolling reset and read process. Therefore, for any scenario in which adjacent frames are required to represent different constitutions of light, the only option for having each row be consistent is to pulse the light between the readout cycles. More specifically, the maximum available period corresponds to the sum of the blanking time plus any time during which optical black or optically blind (OB) rows are serviced at the start or end of the frame.

An example illumination sequence is a repeating pattern of four frames (R-G-B-G). As for the Bayer pattern of color filters, this provides for greater luminance detail than chrominance. This approach is accomplished by strobing the scene with either laser or light-emitting diodes at high speed, under the control of the camera system, and by virtue of a specially designed CMOS sensor with high speed readout. The principal benefit is that the sensor can accomplish the same spatial resolution with significantly fewer pixels compared with conventional Bayer or 3-sensor cameras. Therefore, the physical space occupied by the pixel array may be reduced. The actual pulse periods may differ within the repeating pattern, as illustrated in FIG. 2. This is useful for, e.g., apportioning greater time to the components that require the greater light energy or those having the weaker sources. As long as the average captured frame rate is an integer multiple of the requisite final system frame rate, the data may simply be buffered in the signal processing chain as appropriate.

The facility to reduce the CMOS sensor chip-area to the extent allowed by combining all of these methods is particularly attractive for small diameter (˜3-10 mm) endoscopy. In particular, it allows for endoscope designs in which the sensor is located in the space-constrained distal end, thereby greatly reducing the complexity and cost of the optical section, while providing high definition video. A consequence of this approach is that to reconstruct each final, full color image, requires that data be fused from three separate snapshots in time. Any motion within the scene, relative to the optical frame of reference of the endoscope, will generally degrade the perceived resolution, since the edges of objects appear at slightly different locations within each captured component. In this disclosure, a means of diminishing this issue is described which exploits the fact that spatial resolution is much more important for luminance information, than for chrominance.

The basis of the approach is that, instead of firing monochromatic light during each frame, combinations of the three wavelengths are used to provide all of the luminance information within a single image. The chrominance information is derived from separate frames with, e.g., a repeating pattern such as Y-Cb-Y—Cr. While it is possible to provide pure luminance data by a shrewd choice of pulse ratios, the same is not true of chrominance. However, a workaround for this is presented in this disclosure.

In an embodiment, as illustrated in FIG. 3A, an endoscopic system 300a may comprise a pixel array 302a having uniform pixels and the system 300a may be operated to receive Y (luminance pulse) 304a, Cb (ChromaBlue) 306a and Cr (ChromaRed) 308a pulses.

In an embodiment, as illustrated in FIG. 3B, an endoscopic system 300b may comprise a pixel array 302b having uniform pixels and the system may be operated to receive Y (luminance pulse) 304b, λY+Cb (Modulated ChromaBlue) 306b and δY+Cr (Modulated ChromaRed) 308b pulses.

In an embodiment, as illustrated in FIG. 3C, an endoscopic system 300c may comprise a pixel array 302c having checker patterned (alternating) pixels and the system may be operated to receive Y (luminance pulse) 304c, λY+Cb (Modulated ChromaBlue) 306c and δY+Cr (Modulated ChromaRed) 308c pulses. Within the luminance frames, the two exposure periods are applied for the purpose of extending the dynamic range (YL and YS, corresponding to the long and short exposures).

FIG. 4 illustrates the general timing relationship within a 4-frame cycle, between pulsed mixtures of three wavelengths and the readout cycle of a monochrome CMOS sensor.

Essentially there are three monochromatic pulsed light sources under the fast control of the camera and a special design of monochromatic CMOS image sensor which enables high final progressive video rates of 60 Hz or more. Periodic sequences of monochromatic red, green and blue frames are captured, e.g., with an R-G-B-G pattern, and assembled into sRGB images in the image signal processor chain (ISP). The light-pulse and sensor readout timing relationship is shown in FIG. 5. In order to provide pure luminance information in the same frame, all three sources are pulsed in unison with light energies that are modulated according to the color transformation coefficients that convert from RGB space to YCbCr (as per the ITU-R BT.709 HD standard):

$\left[\begin{array}{c}Y\\ \mathrm{Cb}\\ \mathrm{Cr}\end{array}\right]=\left[\begin{array}{c}R\\ G\\ B\end{array}\right]\left[\begin{array}{ccc}0.183& 0.614& 0.062\\ -0.101& -0.339& 0.439\\ 0.439& -0.399& -0.040\end{array}\right]$

It will be appreciated that other color space conversion standards may be implemented by the disclosure, including but not limited to, ITU-R BT.709 HD standard, ITU-R BT.601 standard, and ITU-R BT.2020 standard.

If white balance is being performed in the illumination domain, then this modulation is imposed in addition to the white balance modulation.

To complete a full color image requires that the two components of chrominance also be provided. However, the same algorithm that was applied for luminance cannot be directly applied for chrominance images since it is signed, as reflected in the fact that some of the RGB coefficients are negative. The solution to this is to add a degree of luminance of sufficient magnitude that all of the final pulse energies become positive. As long as the color fusion process in the ISP is aware of the composition of the chrominance frames, they can be decoded by subtracting the appropriate amount of luminance from a neighboring frame. The pulse energy proportions are given by:

$Y=0.183·R+0.614·G+0.062·B$ $\mathrm{Cb}=\lambda ·Y-0.101·R-0.339·G+0.439·B$ $\mathrm{Cr}=\delta ·Y+0.439·R-0.399·G-0.040·B$ $\mathrm{where}$ $\lambda \ge \frac{0.339}{0.614}=0.552$ $\delta \ge \frac{0.399}{0.614}=0.650$

The timing for the general case is shown in FIG. 6A. It turns out that if the λ factor is equal to 0.552; both the red and the green components are exactly cancelled, in which case the Cb information can be provided with pure blue light. Similarly, setting δ=0.650 cancels out the blue and green components for Cr which becomes pure red. This particular example is illustrated in FIG. 6B, which also depicts λ and δ as integer multiples of ½⁸. This is a convenient approximation for the digital frame reconstruction (see later discussion).

Referring now to FIG. 7, there is illustrated a general timing diagram for this process. The exposure periods for the two flavors of pixel are controlled by two internal signals within the image sensor, depicted as TX1 and TX2 in the figure. In fact, it is possible to do this at the same time as extending the dynamic range for the luminance frame, where it is most needed, since the two integration times can be adjusted on a frame by frame basis (see FIGS. 3a-3c). The benefit is that the color motion artifacts are less of an issue if all the data is derived from two frames versus three. There is of course a subsequent loss of spatial resolution for the chrominance data but that is of negligible consequence to the image quality for the reasons discussed earlier.

An inherent property of the monochrome wide dynamic range array is that the pixels that have the long integration time must integrate a superset of the light seen by the short integration time pixels. Co-pending U.S. patent application Ser. No. 13/952,564 entitled WIDE DYNAMIC RANGE USING MONOCHROMATIC SENSOR is hereby incorporated by this reference into this disclosure as if fully set forth herein. For regular wide dynamic range operation in the luminance frames, that is desirable. For the chrominance frames it means that the pulsing must be controlled in conjunction with the exposure periods so as to provide, e.g., λY+Cb from the start of the long exposure and switch to δY+Cr at the point that the short pixels are turned on (both pixel types have their charges transferred at the same time). During color fusion, this would be accounted for. FIG. 8 shows the specific timing diagram for this solution.

A typical ISP involves first taking care of any necessary sensor and optical corrections (such as defective pixel elimination, lens shading etc.), then in turn; white balance, demosaic/color fusion and color correction.

Before finally applying gamma to place the data in the standard sRGB space, there might typically be some operations (e.g., edge enhancement) and/or adjustments (e.g., saturation) performed in an alternative color space such as YCbCr or HSL. FIG. 9 depicts a basic ISP core that would be appropriate for the R-G-B-G pulsing scheme. In this example, the data is converted to YCbCr in order to apply edge enhancement in the luminance plane and conduct filtering of the chrominance, then converted back to linear RGB.

In the case of the Y-Cb-Y—Cr pulsing scheme, the image data is already in the YCbCr space following the color fusion. Therefore, in this case it makes sense to perform luminance and chrominance based operations up front, before converting back to linear RGB to perform the color correction etc. See FIG. 10.

The color fusion process is more straightforward than de-mosaic, which is necessitated by the Bayer pattern, since there is no spatial interpolation. It does require buffering of frames though in order to have all of the necessary information available for each pixel, as indicated in FIG. 11. FIG. 12A shows the general situation of pipelining of data for the Y-Cb-Y—Cr pattern which yields 1 full color image per two raw captured images. This is accomplished by using each chrominance sample twice. In FIG. 12B the specific example of a 120 Hz frame capture rate providing 60 Hz final video is drawn.

The linear Y, Cb and Cr components for each pixel may be computed thus:

$Y_i=2^{m-4}+\left(x_{i,n-1}-K\right)$ $\left\{\begin{array}{c}{\mathrm{Cb}}_i=2^{m-1}+\left(x_{i,n}-K\right)-\lambda ·\left(x_{i,n-1}-K\right)\\ {\mathrm{Cr}}_i=2^{m-1}+\left(x_{i,n-2}-K\right)-\delta ·\left(x_{i,n-1}-K\right)\end{array}\right\}\mathrm{when}n=\mathrm{Cb}\mathrm{frame}$ $\left\{\begin{array}{c}{\mathrm{Cb}}_i=2^{m-1}+\left(x_{i,n-2}-K\right)-\lambda ·\left(x_{i,n-1}-K\right)\\ {\mathrm{Cr}}_i=2^{m-1}+\left(x_{i,n}-K\right)-\delta ·\left(x_{i,n-1}-K\right)\end{array}\right\}\mathrm{when}n=\mathrm{Cr}\mathrm{frame}$

Where x_i,n is the input data for pixel i in frame n, m is the pipeline bit-width of the ISP and K is the ISP black offset level at the input to the color fusion block, (if applicable). Since chrominance is signed it is conventionally centered at 50% of the digital dynamic range (2^m-1).

If two exposures are used to provide both chrominance components in the same frame as described earlier, the two flavors of pixel are separated into two buffers. The empty pixels are then filled in using, e.g., linear interpolation. At this point, one buffer contains a full image of δY+Cr data and the other; δY+Cr+λY+Cb. The δY+Cr buffer is subtracted from the second buffer to give λY+Cb. Then the appropriate proportion of luminance data from the Y frames is subtracted out for each.

Implementations of the disclosure may comprise or utilize a special purpose or general-purpose computer including computer hardware, such as, for example, one or more processors and system memory, as discussed in greater detail below. Implementations within the scope of the disclosure may also include physical and other computer-readable media for carrying or storing computer-executable instructions and/or data structures. Such computer-readable media can be any available media that can be accessed by a general purpose or special purpose computer system. Computer-readable media that store computer-executable instructions are computer storage media (devices). Computer-readable media that carry computer-executable instructions are transmission media. Thus, by way of example, and not limitation, implementations of the disclosure can comprise at least two distinctly different kinds of computer-readable media: computer storage media (devices) and transmission media.

Computer storage media (devices) includes RAM, ROM, EEPROM, CD-ROM, solid state drives (“SSDs”) (e.g., based on RAM), Flash memory, phase-change memory (“PCM”), other types of memory, other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store desired program code means in the form of computer-executable instructions or data structures and which can be accessed by a general purpose or special purpose computer.

A “network” is defined as one or more data links that enable the transport of electronic data between computer systems and/or modules and/or other electronic devices. In an implementation, a sensor and camera control unit may be networked in order to communicate with each other, and other components, connected over the network to which they are connected. When information is transferred or provided over a network or another communications connection (either hardwired, wireless, or a combination of hardwired or wireless) to a computer, the computer properly views the connection as a transmission medium. Transmissions media can include a network and/or data links which can be used to carry desired program code means in the form of computer-executable instructions or data structures and which can be accessed by a general purpose or special purpose computer. Combinations of the above should also be included within the scope of computer-readable media.

As can be seen in FIG. 13, various computer system components, program code means in the form of computer-executable instructions or data structures that can be transferred automatically from transmission media to computer storage media (devices) (or vice versa). For example, computer-executable instructions or data structures received over a network or data link can be buffered in RAM within a network interface module (e.g., a “NIC”), and then eventually transferred to computer system RAM and/or to less volatile computer storage media (devices) at a computer system. RAM can also include solid state drives (SSDs or PCIx based real time memory tiered Storage, such as FusionIO). Thus, it should be understood that computer storage media (devices) can be included in computer system components that also (or even primarily) utilize transmission media.

Computer-executable instructions comprise, for example, instructions and data which, when executed at a processor, cause a general purpose computer, special purpose computer, or special purpose processing device to perform a certain function or group of functions. The computer executable instructions may be, for example, binaries, intermediate format instructions such as assembly language, or even source code. Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined herein is not necessarily limited to the described features or acts described above. Rather, the described features and acts are disclosed as examples.

Those skilled in the art will appreciate that the disclosure may be practiced in network computing environments with many types of computer system configurations, including, personal computers, desktop computers, laptop computers, message processors, control units, camera control units, hand-held devices, hand pieces, multi-processor systems, microprocessor-based or programmable consumer electronics, network PCs, minicomputers, mainframe computers, mobile telephones, PDAs, tablets, pagers, routers, switches, various storage devices, and the like. It should be noted that any of the above mentioned computing devices may be provided by or located within a brick and mortar location. The disclosure may also be practiced in distributed system environments where local and remote computer systems, which are linked (either by hardwired data links, wireless data links, or by a combination of hardwired and wireless data links) through a network, both perform tasks. In a distributed system environment, program modules may be located in both local and remote memory storage devices.

Further, where appropriate, functions described herein can be performed in one or more of: hardware, software, firmware, digital components, or analog components. For example, one or more application specific integrated circuits (ASICs) or field programmable gate arrays can be programmed to carry out one or more of the systems and procedures described herein. Certain terms are used throughout the following description to refer to particular system components. As one skilled in the art will appreciate, components may be referred to by different names. This document does not intend to distinguish between components that differ in name, but not function.

FIG. 13 is a block diagram illustrating an example computing device 100. Computing device 100 may be used to perform various procedures, such as those discussed herein. Computing device 100 can function as a server, a client, or any other computing entity. Computing device can perform various monitoring functions as discussed herein, and can execute one or more application programs, such as the application programs described herein. Computing device 100 can be any of a wide variety of computing devices, such as a desktop computer, a notebook computer, a server computer, a handheld computer, camera control unit, tablet computer and the like.

Computing device 100 includes one or more processor(s) 102, one or more memory device(s) 104, one or more interface(s) 106, one or more mass storage device(s) 108, one or more Input/Output (I/O) device(s) 110, and a display device 130 all of which are coupled to a bus 112. Processor(s) 102 include one or more processors or controllers that execute instructions stored in memory device(s) 104 and/or mass storage device(s) 108. Processor(s) 102 may also include various types of computer-readable media, such as cache memory.

Memory device(s) 104 include various computer-readable media, such as volatile memory (e. g., random access memory (RAM) 114) and/or nonvolatile memory (e.g., read-only memory (ROM) 116). Memory device(s) 104 may also include rewritable ROM, such as Flash memory.

Mass storage device(s) 108 include various computer readable media, such as magnetic tapes, magnetic disks, optical disks, solid-state memory (e.g., Flash memory), and so forth. As shown in FIG. 13, a particular mass storage device is a hard disk drive 124. Various drives may also be included in mass storage device(s) 108 to enable reading from and/or writing to the various computer readable media. Mass storage device(s) 108 include removable media 126 and/or non-removable media.

I/O device(s) 110 include various devices that allow data and/or other information to be input to or retrieved from computing device 100. Example I/O device(s) 110 include digital imaging devices, electromagnetic sensors and emitters, cursor control devices, keyboards, keypads, microphones, monitors or other display devices, speakers, printers, network interface cards, modems, lenses, CCDs or other image capture devices, and the like.

Display device 130 includes any type of device capable of displaying information to one or more users of computing device 100. Examples of display device 130 include a monitor, display terminal, video projection device, and the like.

Interface(s) 106 include various interfaces that allow computing device 100 to interact with other systems, devices, or computing environments. Example interface(s) 106 may include any number of different network interfaces 120, such as interfaces to local area networks (LANs), wide area networks (WANs), wireless networks, and the Internet. Other interface(s) include user interface 118 and peripheral device interface 122. The interface(s) 106 may also include one or more user interface elements 118. The interface(s) 106 may also include one or more peripheral interfaces such as interfaces for printers, pointing devices (mice, track pad, etc.), keyboards, and the like.

Bus 112 allows processor(s) 102, memory device(s) 104, interface(s) 106, mass storage device(s) 108, and I/O device(s) 110 to communicate with one another, as well as other devices or components coupled to bus 112. Bus 112 represents one or more of several types of bus structures, such as a system bus, PCI bus, IEEE 1394 bus, USB bus, and so forth.

For purposes of illustration, programs and other executable program components are shown herein as discrete blocks, although it is understood that such programs and components may reside at various times in different storage components of computing device 100, and are executed by processor(s) 102. Alternatively, the systems and procedures described herein can be implemented in hardware, or a combination of hardware, software, and/or firmware. For example, one or more application specific integrated circuits (ASICs) can be programmed to carry out one or more of the systems and procedures described herein.

FIGS. 14A and 14B illustrate a perspective view and a side view, respectively, of an implementation of a monolithic sensor 2900 having a plurality of pixel arrays for producing a three dimensional image in accordance with the teachings and principles of the disclosure. Such an implementation may be desirable for three dimensional image capture, wherein the two pixel arrays 2902 and 2904 may be offset during use. In another implementation, a first pixel array 2902 and a second pixel array 2904 may be dedicated to receiving a predetermined range of wave lengths of electromagnetic radiation, wherein the first pixel array is dedicated to a different range of wave length electromagnetic radiation than the second pixel array.

FIGS. 15A and 15B illustrate a perspective view and a side view, respectively, of an implementation of an imaging sensor 3000 built on a plurality of substrates. As illustrated, a plurality of pixel columns 3004 forming the pixel array are located on the first substrate 3002 and a plurality of circuit columns 3008 are located on a second substrate 3006. Also illustrated in the figure are the electrical connection and communication between one column of pixels to its associated or corresponding column of circuitry. In one implementation, an image sensor, which might otherwise be manufactured with its pixel array and supporting circuitry on a single, monolithic substrate/chip, may have the pixel array separated from all or a majority of the supporting circuitry. The disclosure may use at least two substrates/chips, which will be stacked together using three-dimensional stacking technology. The first 3002 of the two substrates/chips may be processed using an image CMOS process. The first substrate/chip 3002 may be comprised either of a pixel array exclusively or a pixel array surrounded by limited circuitry. The second or subsequent substrate/chip 3006 may be processed using any process, and does not have to be from an image CMOS process. The second substrate/chip 3006 may be, but is not limited to, a highly dense digital process in order to integrate a variety and number of functions in a very limited space or area on the substrate/chip, or a mixed-mode or analog process in order to integrate for example precise analog functions, or a RF process in order to implement wireless capability, or MEMS (Micro-Electro-Mechanical Systems) in order to integrate MEMS devices. The image CMOS substrate/chip 3002 may be stacked with the second or subsequent substrate/chip 3006 using any three-dimensional technique. The second substrate/chip 3006 may support most, or a majority, of the circuitry that would have otherwise been implemented in the first image CMOS chip 3002 (if implemented on a monolithic substrate/chip) as peripheral circuits and therefore have increased the overall system area while keeping the pixel array size constant and optimized to the fullest extent possible. The electrical connection between the two substrates/chips may be done through interconnects 3003 and 3005, which may be wirebonds, bump and/or TSV (Through Silicon Via).

FIGS. 16A and 16B illustrate a perspective view and a side view, respectively, of an implementation of an imaging sensor 3100 having a plurality of pixel arrays for producing a three dimensional image. The three dimensional image sensor may be built on a plurality of substrates and may comprise the plurality of pixel arrays and other associated circuitry, wherein a plurality of pixel columns 3104a forming the first pixel array and a plurality of pixel columns 3104b forming a second pixel array are located on respective substrates 3102a and 3102b, respectively, and a plurality of circuit columns 3108a and 3108b are located on a separate substrate 3106. Also illustrated are the electrical connections and communications between columns of pixels to associated or corresponding column of circuitry.

It will be appreciated that the teachings and principles of the disclosure may be used in a reusable device platform, a limited use device platform, a re-posable use device platform, or a single-use/disposable device platform without departing from the scope of the disclosure. It will be appreciated that in a re-usable device platform an end-user is responsible for cleaning and sterilization of the device. In a limited use device platform the device can be used for some specified amount of times before becoming inoperable. Typical new device is delivered sterile with additional uses requiring the end-user to clean and sterilize before additional uses. In a re-posable use device platform a third-party may reprocess the device (e.g., cleans, packages and sterilizes) a single-use device for additional uses at a lower cost than a new unit. In a single-use/disposable device platform a device is provided sterile to the operating room and used only once before being disposed of.

Additionally, the teachings and principles of the disclosure may include any and all wavelengths of electromagnetic energy, including the visible and non-visible spectrums, such as infrared (IR), ultraviolet (UV), and X-ray.

In an embodiment, a method for digital imaging for use with an endoscope in ambient light deficient environments may comprise: actuating an emitter to emit a plurality of pulses of electromagnetic radiation to cause illumination within the light deficient environment, wherein said pulses comprise a first pulse that is within a first wavelength range that comprises a first portion of electromagnetic spectrum, wherein said pulses comprise a second pulse that is within a second wavelength range that comprises a second portion of electromagnetic spectrum, wherein said pulses comprise a third pulse that is with is a third wavelength range that comprises a third portion of electromagnetic spectrum; pulsing said plurality of pulses at a predetermined interval; sensing reflected electromagnetic radiation from said pulses with a pixel array to create a plurality of image frames, wherein said pixel array is read at an interval that corresponds to the pulse interval of said laser emitter; and creating a stream of images by combining the plurality of image frames to form a video stream. In an embodiment, said first pulse comprises chrominance red. In an embodiment, said second pulse comprises chrominance blue. In an embodiment, said third pulse comprises a luminance pulse. In an embodiment, said luminance pulse is created by pulsing a red pulse and a blue pulse and a green pulse. In such an embodiment, said red pulse is modulated relative to the blue and green pulse such that the red pulse has a positive chrominance value. In an embodiment, said blue pulse is modulated relative to the red and green pulse such that the blue pulse has a positive chrominance value. In an embodiment, said green pulse is modulated relative to the blue and red pulse such that the green pulse has a positive chrominance value. In an embodiment, the method further comprises modulating the plurality of pulses by a value such that the chrominance value of each pulse is positive. In an embodiment, the method further comprises removing pulse modulation values from during image stream construction. In such an embodiment, the process of modulating comprises adding a luminance value to the plurality of pulses. In an embodiment, the luminance value for modulation is an integer that is a multiple of (½)⁸. In an embodiment, a luminance value for modulation of 0.552 cancels out red chrominance and green chrominance. In an embodiment, a luminance value for modulation of 0.650 cancels out blue chrominance and green chrominance. In an embodiment, the method further comprises reducing noise while creating the stream of image frames. In an embodiment, the method further comprises adjusting white balance while creating the stream of mage frames. In an embodiment, said third pulse is a luminance pulse that is pulses twice as often as the first and second pulses. In an embodiment, said luminance pulse is sensed by long exposure pixel and short exposure pixels within a pixel array. In an embodiment, the method further comprises sensing data generated by a plurality of pixel arrays and combining said data into a three dimensional image stream.

It will be appreciated that various features disclosed herein provide significant advantages and advancements in the art. The following embodiments are exemplary of some of those features.

In the foregoing Detailed Description of the Disclosure, various features of the disclosure are grouped together in a single embodiment for the purpose of streamlining the disclosure. This method of disclosure is not to be interpreted as reflecting an intention that the disclosure requires more features than are expressly recited in each claim, if any. Rather, inventive aspects lie in less than all features of a single foregoing disclosed embodiment.

It is to be understood that the above-described arrangements are only illustrative of the application of the principles of the disclosure. Numerous modifications and alternative arrangements may be devised by those skilled in the art without departing from the spirit and scope of the disclosure.

Thus, while the disclosure has been shown in the drawings and described above with particularity and detail, it will be apparent to those of ordinary skill in the art that numerous modifications, including, but not limited to, variations in size, materials, shape, form, function and manner of operation, assembly and use may be made without departing from the principles and concepts set forth herein.

Further, where appropriate, functions described herein can be performed in one or more of: hardware, software, firmware, digital components, or analog components. For example, one or more application specific integrated circuits (ASICs) can be programmed to carry out one or more of the systems and procedures described herein. Certain terms are used throughout the following description to refer to particular system components. As one skilled in the art will appreciate, components may be referred to by different names. This document does not intend to distinguish between components that differ in name, but not function.

Claims

1-31. (canceled)

32. A digital imaging method for use with an endoscope in ambient light deficient environments comprising: actuating an emitter to emit a pulse of a wavelength of electromagnetic radiation to cause illumination within the light deficient environment;wherein the emitter comprises a plurality of sources that each emits a pulse of a portion of electromagnetic spectrum;pulsing said emitter at a predetermined interval;sensing reflected electromagnetic radiation from said pulse with a pixel array;wherein said pixel array is actuated at a sensing interval that corresponds to the pulse interval of said emitter; and

33. (canceled)

34. The method of claim 33, further comprising actuating the plurality of sources simultaneously.

35. The method of claim 34, further comprising pulsing the plurality of sources at a predetermined interval.

36. The method of claim 32, further comprising adjusting the pulse to provide luminance information during the luminance frame, by matching to color space conversion coefficients.

37. The method of claim 32, further comprising adjusting the pulse to provide chrominance information during the chrominance frame to match to color space conversion coefficients.

38. The method of claim 37, wherein the chrominance information is blue.

39. The method of claim 37, wherein the chrominance information is red.

40. The method of claim 32, further comprising pulsing the emitter to produce a pulsing pattern of luminance, chrominance blue, luminance, chrominance red.

41. The method of claim 32, further comprising pulsing the emitter to produce a pulsing pattern of luminance, chrominance blue combined with chrominance red, luminance, chrominance blue combined with chrominance red.

42. The method of claim 32, wherein the controller is configured to use chrominance frames more than once to reconstruct resultant frames.

43. The method of claim 32, further comprising compensation with a luminance coefficient to chrominance frames by and image signal processor and wherein the luminance coefficient is an integer that is a multiple of (½)n.

44. The method of claim 32, wherein the image sensor comprises uniform pixels configured to be read individually.

45. The method of claim 44, reading data from the image sensor at a plurality of frame durations wherein the plurality of frame durations produce long exposures and short exposures.

46. The method of claim 45, wherein the image sensor is configured to produce a sequence of frames comprising: a luminance frame of long exposure pixel data and short exposure pixel data,a red chrominance frame of long exposure pixel data and short exposure pixel data, anda blue chrominance frame of long exposure pixel data and short exposure pixel data.

47. The method of claim 46, further comprising sensing the luminance wavelength so it is represented in the pattern twice as often as the red and blue chrominance wavelengths.

48. The method of claim 32, wherein a pulse of electromagnetic radiation emitted by the emitter is of a wavelength that is not visible to humans.

49. The method of claim 33, wherein the plurality of electromagnetic wavelengths comprises wavelengths that are visible to humans and that are not visible to humans.

50. The method of claim 32, actuating the emitter so as to emit the plurality of electromagnetic wavelengths at differing magnitudes.

51. The method of claim 50, wherein the differing magnitudes correspond to the imaging sensor's sensitivity to differing wavelengths.

52. The method of claim 32, further comprising blanking said pixel array at a predetermined blanking interval that corresponds to said sensing interval.