The present invention relates generally to image sensors and, more particularly, to reducing common-mode voltage variation in CMOS active-pixel outputs.
Solid-state image sensors are widely used in camera systems. The solid-state image sensors in some camera systems are composed of an array of rows and columns of picture elements (pixels) containing photosensitive elements. The photosensitive elements may be, for example, photodiodes, photogates, phototransistors or the like. When light is focused on the array, each photosensitive element converts a portion of the light it absorbs into electron-hole pairs and produces a charge that is proportional to the intensity of the light it receives. In some image sensor technologies, notably CMOS (complementary metal oxide semiconductor) fabrication processes, an array of pixels can be fabricated with integrated amplifying and switching devices in a single integrated circuit chip. A pixel with integrated electronics is known as an active pixel.
Ideally, when the pixel array is exposed to light, each photosensitive element collects photocharge, proportional to the light exposure in its vicinity, which is stored on the reversed bias capacitance of the diode. Then, the stored charged is transferred to the sense node and read out as a voltage on a row-by-row basis as pixels in each row are connected to their respective columns. However, real sensor arrays are not ideal.
One problem associated with conventional active pixel image sensors is that, due to process variations during fabrication, the pixel components (e.g., diodes, transistors) are not perfectly matched. Each pixel in an array exhibits a random variation in offset voltage at a given bias point. Typically, all of the pixels in an array are biased to the same current level (e.g., I
In correlated double sampling, each pixel is read out twice, once when the pixel is reset (i.e., the charge from a previous exposure is removed) and again after the pixel is exposed. The offset is common to both readings and is eliminated by storing the first reading and then taking the difference between the first and second readings. With reference to
This approach has several disadvantages that increase with the magnitude of the offset voltage: 1) the differencing circuit must have a high common mode rejection ratio, 2) the differencing circuit must have greater headroom, 3) the signal path losses for the reset and exposed modes must be matched, and 4) pixel gain non-uniformity is higher because of mismatch in source follower back bias.
The present invention is illustrated by way of example, and not by limitation, in the figures of the accompanying drawings in which:
In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the present invention. It will be evident, however, to one skilled in the art that the present invention may be practiced without these specific details. In other instances, well-known circuits, structures and techniques are not shown in detail or are shown in block diagram form in order to avoid unnecessarily obscuring an understanding of this description.
References throughout this specification to “one embodiment” or “an embodiment” means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Therefore, it is emphasized and should be appreciated that two or more references to “an embodiment” or “one embodiment” or “an alternative embodiment” in various portions of this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures or characteristics may be combined as suitable in one or more embodiments of the invention. In addition, while the invention has been described in terms of several embodiments, those skilled in the art will recognize that the invention is not limited to the embodiments described. The embodiments of the invention can be practiced with modification and alteration within the scope of the appended claims. The specification and the drawings are thus to be regarded as illustrative instead of limiting on the invention.
Embodiments of the present invention include circuits, to be described below, which perform operations. Alternatively, the operations of the present invention may be embodied in machine-executable instructions, which may be used to cause a general-purpose or special-purpose processor programmed with the instructions to perform the operations. Alternatively, the operations maybe performed by a combination of hardware and software.
Embodiments of the present invention may be provided as a computer program product, or software, that may include a machine-readable medium having stored thereon instructions, which may be used to program a computer system (or other electronic devices) to perform a process according to the present invention. A machine readable medium includes any mechanism for storing or transmitting information in a form (e.g., software, processing application) readable by a machine (e.g., a computer). The machine readable medium may include, but is not limited to: magnetic storage media (e.g., floppy diskette); optical storage media (e.g., CD-ROM); magneto-optical storage media; read only memory (ROM); random access memory (RAM); erasable programmable memory (e.g., EPROM and EEPROM); flash memory; electrical, optical, acoustical or other form of propagated signal; (e.g., carrier waves, infrared signals, digital signals, etc.); or other type of medium suitable for storing electronic instructions.
Some portions of the description that follow are presented in terms of algorithms and symbolic representations of operations on data bits that may be stored within a memory and operated on by a processor. These algorithmic descriptions and representations are the means used by those skilled in the art to effectively convey their work. An algorithm is generally conceived to be a self-consistent sequence of acts leading to a desired result. The acts are those requiring manipulation of quantities. Usually, though not necessarily, these quantities take the form of electrical or magnetic signals capable of being stored, transferred, combined, compared, and otherwise manipulated. It has proven convenient at times, principally for reasons of common usage, to refer to these signals as bits, values, elements, symbols, characters, terms, numbers, parameters or the like.
The term “coupled to” as used herein may mean coupled directly to or indirectly to through one or more intervening components. Any of the signals provided over various buses described herein may be time multiplexed with other signals and provided over one or more common buses. Additionally, the interconnection between circuit components or blocks may be shown as buses or as single signal lines. Each of the buses may alternatively be one or more single signal lines, and each of the single signal lines may alternatively be buses.
Methods and apparatus for output auto-zeroing of a CMOS active pixel are described. In one embodiment, a method includes dynamically biasing an active pixel with a bias current to obtain a reference offset voltage and maintaining the bias current while transferring charge from a photodiode in the active pixel to a sense node of the active pixel.
In one embodiment, an apparatus includes one or more active pixels in a column of active pixels, and a column amplifier coupled with the column of active pixels to drive an offset voltage of a selected active pixel to a reference voltage.
Next, as illustrated in
Next, as illustrated in
As illustrated in
Embodiments of the present invention may also be used to enhance correlated double sampling (CDS) systems. For example, V
Thus, as illustrated in
The image sensor 501 may be a CMOS integrated circuit fabricated on one or more common integrated circuit die that may be packaged in a common carrier. In one embodiment, one or more of digital processing device 504, memory 505 and controller 506 may be disposed on the integrated circuit die outside of an imaging area of the die. In one embodiment, some or all of the analog and digital components of system 500 may be integrated in one or more analog/digital mixed signal ASIC.
Embodiments of the present invention have been illustrated with a photodiode device type and CMOS technology using N-channel MOSFET devices for ease of discussion. In alternative embodiments, other device types (e.g., photogate and phototransistor), device technologies (e.g., charge coupled device (CCD) and buried channel CMOS), and process technologies (e.g., nMOS, buried channel CMOS and BiCMOS) may be used. Furthermore, the image sensors discussed herein may be applicable for use with all types of electromagnetic (EM) radiation (i.e., wavelength ranges) such as, for example, visible, infrared, ultraviolet, gamma, x-ray, microwave, etc. In one particular embodiment, the image sensors and pixel structures discussed herein are used with EM radiation in approximately the 300-1100 nanometer (nm) wavelength range (i.e., visible light to near infrared spectrum). Alternatively, the image sensors and pixel structures discussed herein may be used with EM radiation in other wavelength ranges.
Embodiments of the invention have been described with respect to CMOS active pixel sensors using photosensitive devices. However, the present invention is applicable to any image sensor that resets a capacitor in a sensing scheme including, for example, a fingerprint sensor based on capacitive sensing.
Embodiments of the present invention have been illustrated with reference to “rows” and “columns” of an image sensor array for ease of discussion. It will be appreciated that rows and columns in an array do not necessarily denote any particular direction or orientation of the array.
The image sensor and pixel structures discussed herein may be used in various applications including, but not limited to, a digital camera system, for example, for general-purpose photography (e.g., camera phone, still camera, video camera) or special-purpose photography (e.g., in automotive systems, hyper-spectral imaging in space borne systems, etc). Alternatively, the image sensor and pixel structures discussed herein may be used in other types of applications, for example, machine and robotic vision, document scanning, microscopy, security, biometry, etc.