WO2000007360A1 - An improved light sensor and a method of employing the improved light sensor to capture and process image data - Google Patents

An improved light sensor and a method of employing the improved light sensor to capture and process image data Download PDF

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Publication number
WO2000007360A1
WO2000007360A1 PCT/US1999/016284 US9916284W WO0007360A1 WO 2000007360 A1 WO2000007360 A1 WO 2000007360A1 US 9916284 W US9916284 W US 9916284W WO 0007360 A1 WO0007360 A1 WO 0007360A1
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WIPO (PCT)
Prior art keywords
node
pixel value
pixel
read
sensor
Prior art date
Application number
PCT/US1999/016284
Other languages
French (fr)
Inventor
E. Ray Hirt
Dung C. Nguyen
Roy T. Trevino
Original Assignee
Intel Corporation
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Intel Corporation filed Critical Intel Corporation
Priority to GB0101450A priority Critical patent/GB2354664B/en
Priority to DE19983422T priority patent/DE19983422T1/en
Priority to AU52169/99A priority patent/AU5216999A/en
Publication of WO2000007360A1 publication Critical patent/WO2000007360A1/en

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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N25/00Circuitry of solid-state image sensors [SSIS]; Control thereof
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N25/00Circuitry of solid-state image sensors [SSIS]; Control thereof
    • H04N25/70SSIS architectures; Circuits associated therewith
    • H04N25/76Addressed sensors, e.g. MOS or CMOS sensors
    • H04N25/77Pixel circuitry, e.g. memories, A/D converters, pixel amplifiers, shared circuits or shared components

Definitions

  • the invention relates generally to image capture systems. More specifically, the invention is related to an improved light sensor and a method of employing the improved light sensor to capture and process image data.
  • CMOS complementary metal oxides
  • a typical CMOS sensor includes a pixel array having a plurality of pixel cells arranged in rows and columns.
  • CDS correlated double sampler
  • an amplifier an amplifier
  • an analog-to-digital converter are also included for every column of the pixel array.
  • light intensities captured in each pixel cell of the CMOS sensor are directly transferred a respective CDS).
  • the image data is provided to an amplifier for amplification.
  • the amplified signal is provided to the analog-to-digital converter, which converts the analog signal into a digital signal.
  • each pixel cell generates a pixel value that is first stored in memory.
  • the stored pixel values are then manipulated and compressed by a digital signal processing (DSP) program executing on a processor.
  • DSP digital signal processing
  • the amount of local memory required to store the pixel values also increases correspondingly. For example, as the pixel array grows from 512x512 to 1024x1024 and assuming one byte per pixel, the minimal memory requirements increase from 262,144 bytes to 1,048,576 bytes for each image captured. Consequently, four times more memory is needed to store a picture.
  • An additional concern for video image data is the need to meet bandwidth requirements. As an array grows, additional bandwidth is needefl to transfer the additional image data at a given frame rate to other image processing systems, such as computers.
  • the bandwidth required increases by approximately four times. For example, assuming 30 frames per second, the uncompressed data rate from a sensor 512 x 512 array with (1 byte) per pixel is approximately 7.8 megabytes per second for the 512 x 512 array. The data rate is increased to 31.5 megabytes per second for the 1024 x 1024 array.
  • each pixel is typically represented by more than one byte.
  • some color processing systems employ two bytes, or 16 bits, to represent a single pixel value.
  • the memory requirements and bandwidth requirements increase accordingly. Consequently, it would be desirable to provide an improved sensor that would reduce the memory storage and bandwidth requirements for image capture and transmission.
  • a method of capturing image data is disclosed. First, the first node is reset. Then, the second node is reset. An image is collected on the first node. The first node is then read and a first read pixel value is provided. A second node is read and a second read pixel value is provided. An arithmetic operation is performed on the first read pixel value and the second read pixel value and the result of the operation is provided to the image capture system for storage or further processing.
  • Figure 1 illustrates an image capture system configured in accordance with the teachings of the present invention.
  • Figure 2 illustrates the improved pixel cell configured in accordance with the teachings of the present invention.
  • Figure 3 is a simplified block diagram illustrating the pixel array and the focal plane processors of the improved sensor of the present invention.
  • Figure 4 is a flowchart illustrating how a signal processing program may employ the improved sensor to capture and process image data in accordance with one embodiment of the present invention.
  • Figure 5 is a block diagram of an image capture device (e.g., a digital camera) in which the improved sensor of the present invention may be implemented
  • an image capture device e.g., a digital camera
  • Figure 6 is a block diagram illustrating in greater detail the digital signal processing functional block of Figure 5.
  • Figure 7 illustrates a computer system having a silicon eye in which the improved sensor of the present invention may be implemented.
  • Figure 8 is a block diagram illustrating in greater detail the computer system, shown in Figure 7.
  • Figure 1 illustrates an image capture system 100 in which an improved sensor 102 of the present invention may be implemented.
  • the improved sensor 102 interacts with a processor 140 and a memory 150 through a bus 144.
  • the improved sensor 102 includes a pixel array 104 having a plurality of pixels, arranged in rows and columns.
  • the pixel array 104 may include 512 x 512 pixel cells or 1024 x 1024 pixel cells.
  • Each pixel cell features an improved architecture having a temporary storage element, a first readout circuit, and a second readout circuit, which will be described in greater detail hereinafter with reference to Figure 2.
  • a row selector 105 is provided to specify a particular row in the pixel array 104 based on control signals provided by the controller 110.
  • a column * selector 107 is provided to specify a column in the pixel array 104 based on control signals provided by the controller 110. The row selector 105 and the column selector 107 together specify a particular pixel cell within the pixel array 104.
  • the controller 110 includes one or more control registers 111 and a timing generator 112.
  • the control registers 111 are accessible by the processor 140.
  • processor 140 may selectively read values from the registers 111 and write values into the control registers 111.
  • the control registers 111 provide the value stored therein to the timing generator 112.
  • the timing generator 112 based on the values provided by the control registers 111, selectively generates signals 107 to the row selector 105, the column selector 107, signals 108 to each cell in the pixel array 104, and signals 114 to a preprocessing unit 116.
  • the pre-processing unit 116 includes a focal plane processor 120 and an analog to digital converter 134.
  • the focal plane processor 120 includes two inputs for receiving two pixel values 113 provided by the pixel array 104.
  • the focal plane processor 120 performs an arithmetic or logical operation on the received values and generates a result. This result is provided to the A/D converter 134, which converts the analog result into a digital value.
  • the digitized pixel value is then provided to bus 144 for storage or further processing.
  • the signals 114 provided by the controller 110 to the preprocessing unit 116 specify the particular arithmetic or logical operation and also manages the timing of the processing and analog to digital conversion.
  • the pixel cell 106 includes an input for receiving a set of signals 108 from the controller 110 and output for providing pixel value signals 113 to the pre-processing unit 116.
  • Control signals 108 may include, but are not limited to, RSI, RS2, Source, TX, IG, VI, and V2. These signals are described in greater detail hereinafter.
  • the timing generator 112 may include clock generation circuits and counters (not shown), which are known in the art.
  • the control registers 111 may be loaded by an in-system processor 140 or indirectly by a host processor (not shown). Once loaded, the registers 111 may provide the 1) starting values, 2) increment count, 3) stopping values and 4) other information needed in the operation and control of the sequencing of the control signals.
  • the memory 150 may include a program 152 for providing an interface between a user and the improved sensor 102.
  • the program 152 may query a user for particular inputs, such as image capture time, electronic shutter controls, gam controls, light levels and specific memory types.
  • the program 152 may be a simple lookup table that provides hard-wired inputs to the controller 110.
  • the program 152 may include graphical user interfaces (GUI's) to allow a user to interact with the improved sensor 102. Operation of a Cell 106
  • the cell 106 is first selected by the row selector 105 and the column selector 107.
  • the cell 106 includes an mput for receiving the control signals 108 from the timing generator 112. In response to these control signals 108, the cell 106 generates two pixel values 113, which are provided to a pre-processing unit 116.
  • the architecture of the improved cell 106 is described in greater detail with reference to Figure 2.
  • the two pixel values 113 that are provided to the pre-processing unit 116 are from successive frames.
  • the cell 106 includes a storage element for storing a first pixel value, while a second pixel value, corresponding to a pixel value m the next frame, is captured.
  • the steps performed by the improved sensor 102 m accordance to one embodiment of the present invention is set forth in greater detail with reference to Figure 4.
  • any of cells m the pixel array 104 may be accessed m a similar fashion.
  • the preprocessing units associated with the other columns of the pixel array 104 are not shown m this figure in order not to clutter the diagram.
  • the pre-processing unit 116 may be integrated into each pixel cell.
  • the focal plane processor 120 may be implemented with an Arithmetic Logic Unit (ALU).
  • ALU Arithmetic Logic Unit
  • the focal plane processor may be integrated as part of each pixel cell.
  • the improved sensor 102 has been described as having a pre-processing unit 120 for each column of the pixel array 104, it will be understood that other architectures are more suitable for different applications.
  • a single pre-processing unit may receive data from two adjacent columns.
  • the single pre-processing unit may compare the values of adjacent columns. Since each pixel cell includes two outputs, each pre-processing unit may receive one output from a first column and a second output from an adjacent column.
  • the focal plane processor may be implemented by differencing circuits, time averaging or spatial averaging circuits.
  • the focal plane processor may also be a compensation circuit with feedback to alter the gain of the pixel drivers, or to modify the capture characteristics of the pixel.
  • Focal plane processor may alter the pixel data by employing the surrounding pixels or the characteristics of a single pixel. For example, the value of a pixel may be changed depending on the values of the surrounding pixels if it is so determined there needs to be compensation for the pixel.
  • memory 150 is provided to store data and one or more programs for interfacing with the improved sensor of the present invention. Furthermore, memory 150 may include programs for performing further digital signal processing (DSP) on pixel data or image data.
  • DSP digital signal processing
  • Processor 140 may be a microcontroller, such as an MC251 manufactured by the assignee of the present invention. The processor 140, under the direction of a DSP program, may perform local DSP functions.
  • the image processing program may be executed on the host processor (not shown) of the PC.
  • the host processor may be a Pentium ® processor with MMXTM technology sold by the assignee of the present invention.
  • Figure 2 illustrates the improved pixel cell 106 configured in accordance with the teachings of one embodiment of the present invention.
  • Each pixel cell 102 includes a first input for receiving a first reset signal (hereinafter referred to as the "PG signal”), a second input for receiving a second reset signal (hereinafter referred to as the "IG signal”), a third input for receiving a transfer signal (hereinafter referred to as the "TX signal”), a fourth input for receiving a first readout signal (hereinafter referred to as the "RSI signal”), and a fifth input for receiving a second readout signal (hereinafter referred to as the "RS2 signal”).
  • PG signal first reset signal
  • IG signal second reset signal
  • TX signal transfer signal
  • RSI signal fourth input for receiving a first readout signal
  • RS2 signal a fifth input for receiving a second readout signal
  • Each pixel cell 102 includes a first node 254 for collecting light and a second node 267 that acts as a temporary storage element.
  • Each pixel cell 102 also includes a third node 220 for providing a first pixel value (hereinafter referred to as the "V_OUTl signal”) and a fourth node 224 for providing a second pixel value (hereinafter referred to as the "V_OUT2 signal").
  • a controller that controls the sensor employs the first reset signal and the second reset signal to reset the first node and second node, respectively. Moreover, the controller employs the transfer signal to transfer data between the first and second nodes. The controller employs the first readout signal to readout a first pixel value from the first node and the second readout signal to readout the second pixel value from the second node.
  • Table I is provided that sets forth the signal names and the corresponding signal descriptions for one embodiment of the present invention.
  • the pixel cell 102 is also provided with the following power voltages (VDD VI and V2).
  • VDD is approximately equaf to 3.3V
  • VI and V2 are approximately equal to zero volts.
  • the pixel cell 102 also includes a first readout circuit 270 and a second readout circuit 280.
  • the first readout circuit 270 and the second readout circuit 280 selectively provide the V_OUTl signal and the V_OUT2 signal at the third node 220 and fourth node 224, respectively.
  • FIG. 3 is a simplified block diagram illustrating a pixel array 104 employing the pixel cells 106 and the focal plane processors 120 of the present invention.
  • the pixel array 104 includes a plurality of pixel cells arranged in rows and columns. For each column, there is a first conductor 114 for providing the V_OUTl signal and a second conductor 116 for providing the V_OUT2 signal.
  • FIG. 4 is a flowchart illustrating how a signal processing program may employ the improved sensor to capture and process image data in accordance with one embodiment of the present invention.
  • the controller asserts the first reset signal (PG) to reset node 254 by device 250 and diffusion 256 to a predetermined voltage (e.g., approximately 0V).
  • the controller asserts the second reset signal (IG) to reset node 267 by device 284 and node 286 to the predetermined voltage.
  • IG second reset signal
  • an image is collected on node 254.
  • the controller asserts the first readout signal (RSI) to read node 254 through a first readout circuit 270.
  • RSI first readout signal
  • the first read pixel value (V_OUTl) on node 254 is provided to the third node 220.
  • the controller asserts the second readout signal (RS2) to read node 267 through the second readout circuit 280.
  • the second read pixel value (V_OUT2) on node 267 is provided to the fourth node 224.
  • step 418 an arithmetic operation is performed on the first read pixel value (V_OUTl) and the second read pixel value (V_OUT2).
  • the arithmetic operation may be a subtraction operation where the difference between V_OUTl and V_OUT2 is determined.
  • processing step 418 determines the difference between a pixel value of current frame N and a pixel value of a next frame (N+l).
  • other operations such as an addition operation or a comparison operation may be preferred or needed.
  • the difference determined in step 418 is the pixel value associated with node 254 since node 267 is at the reset value (approximately 0V).
  • the difference of the first pixel value and the second pixel value is provided to the controller for further processing.
  • the difference in pixel values may be converted into digital form and stored in a memory for further signal processing.
  • the controller asserts the second reset signal (IG) to reset node 267 through device 284 and diffusion 286.
  • the controller asserts the transfer signal (TX) to transfer the pixel value on node 254 to node 267 by employing device 268. After this transfer, node 267 contains the value corresponding to a previous frame captured for that pixel.
  • a counter that sets the timing for control signals and a comparator may be employed to perform step 432.
  • the comparator compares a current counter value with a preset value. When the two values match, the predetermined number of frames have been processed.
  • the preset value may be stored in a register.
  • the preset value may be hardwired or set by a host processor or microcontroller.
  • the host processor may set the preset values based on user selected values (e.g., picture size and resolution). The preset value is hardwired if there are no user options regarding picture size or resolution.
  • step 402. If yes, the processing proceeds to step 402. If no, processing proceeds to step 408 where capture of a new picture (i.e., a next frame) occurs.
  • Decision block 432 is provided to reduce accumulated errors and to increase the accuracy of the image capture system.
  • the operation of the pixel cell, the focal plane processor, and the interface circuit may be affected by user inputs.
  • user inputs may include, but are not limited to, picture size (e.g., a wide angle picture or a close- up picture), light levels, exposure time, selected compression algorithm (e.g., an amount of lossiness allowed for in the compression), and the use of flash in taking the picture.
  • the user inputs that are most influential m the present invention are 1) the amount of compression, and 2) the type of compression. As the amount of compression increases, the compressed signal loses picture information Moreover, a longer time is needed to perform the compression.
  • the processing time involved to perform the compression may affect a system designer's de ⁇ sion whether to integrate a signal processing circuit with the pixel cell or to employ a circuit external to the pixel cell, to perform the compression outside of each pixel cell.
  • These user inputs may also affect how often a pixel value is transferred and stored instead of the difference between a current pixel value and a previous pixel value.
  • a host processor or microcontroller executing firmware or software, generates appropriate control signals and timing signals based on these factors
  • Figure 4 descnbes the processing steps for determining the difference between pixel values for a pixel ( ⁇ ,j) for a first frame and a pixel value for the same pixel for the next frames (I e , V_OUTl of pixel ( ⁇ , j ) in frame N is compared with V_OUT2 of the same pixel m frame (N+l).
  • FIG. 5 is a block diagram of an image capture device 500 (e.g , a digital camera) m which the improved sensor 504 (hereinafter referred to as a sensor functional block (SFB)) of the present invention may be implemented
  • the sensor functional block (SFB) 504 may include the improved pixel cell 102, the focal plane processor 120, and interface circuit 124 described m Figure 1
  • the SFB 504 is coupled to a digital signal processing functional block (SPFB) 508 via a first bus 512. Data and control signals are communicated between the SFB 504 and the SPFB 508 through the first bus 512
  • the SPFB 508 also includes an mput for user input.
  • the user mput may include an aperture setting, a shutter speed setting, and a desired resolution setting
  • the information may be transferred between SPFB 508 and SFB 504 through a serial or parallel bus.
  • the control signals for this bus are the typical read /write signals, data signals and clock signal
  • the sensor 504 includes a plurality of registers that store and provide control signals, timing signals and start/ stop signals for the sensor 504 These functions may include integration time, and information to specify which rows and columns to read.
  • Other signals include a start/ stop signal for controlling the transfer of data from the sensor to the host processor or memory This start/stop signal may act as an interrupt signal to suspend the operation of the sensor for short periods of time.
  • Other signals may include outputs provided by the sensor to indicate * end-of-frame, end-of-line, and the start-of-frame.
  • the SPFB 508 also includes an input for receiving user inputs as described previously. Depending on camera model and complexity of the camera, set exposure time, window size, and aperture. In general, these are inputs that are selected by a switch or multi-push button that the microcontroller may ⁇ read ⁇ . The SPFB then turns these user inputs into a code that it writes via the 512 bus to specific register in the sensor.
  • the sensor functional block 504 is implemented by employing complementary metal oxide semiconductor technology (CMOS), it will be understood by those skilled in the art that the SFB 504 may be implemented using standard CCD processes.
  • CMOS complementary metal oxide semiconductor technology
  • a storage unit 516 is coupled to the SPFB 508 via a second bus 520.
  • the storage unit 516 may be a embedded memory unit (e.g., FLASH memory) or any of the removable memory unit (e.g., Miniature Card).
  • the removable memory unit may be employed to transfer data from image capture device to the PC for further processing, provided that the PC is equipped with the appropriate receptacles for the removable memory unit.
  • image files on a Miniature Card may be transferred to any laptop or desktop PC that has a PC Card slot and the image data may then be viewed, edited, enhanced, or otherwise processed on the PC or be transmitted from the PC over a computer network to other devices connected to the network for printing, sharing, or other appropriate processing.
  • An interface functional block 518 is also coupled to the SPFB 508 via the second bus 520.
  • the interface functional block 518 translates the data in a second bus format into a format acceptable to a display device (e.g., NTSC format or monitor format, or still image format) or to a personal computer (PC) via serial bus (e.g., USB protocol and/or RS-232 protocol).
  • Figure 6 is a block diagram illustrating in greater detail one embodiment of the SPFB 508 of Figure 5.
  • the SPFB 508 includes a sensor timing and control functional block 636 that is coupled to the SFB 504 via the first bus 512.
  • the sensor timing and control functional block 636 generate timing and control signals.
  • the sensor timing and control functional block 636 may be implemented with a custom gate array or a programmable logic array (PLA) or any other suitable integrated circuits.
  • a direct memory access unit (DMA) 650 is coupled to the first bus 512 and the second bus 520 and buffers and transfers data between the SFB 504 to the storage unit 516 and the interface functional block 518.
  • the DMA unit 650 is well-known in the art and will not be described herein.
  • the SPFB 508 also includes a digital signal processing (DSP) functional block 640.
  • DSP digital signal processing
  • the DSP functional block 640 is coupled to the first bus 504.
  • the DSP functional block 640 is coupled to the second bus 520 or to sensor timing and control functional block 636 and the read only memory 660. It will be understood that the general architecture described in Figures 5 and 6 may be modified to suit a particular application or optimize a specific camera system implementation.
  • the DSP functional block 640 is configured to perform specific signal processing operations such as noise removal, compression and other signal processing operations.
  • a memory or storage unit 660 such as a read only memory (ROM) is coupled to the DSP functional block 640.
  • the unit 660 may store specific instructions such as a signal processing program 664 and a light metering program 668.
  • the DSP functional block 640 may be implemented by a custom application specific integrated circuit (ASIC), a custom gate array, or a microcontroller having specific DSP hardware configured around the microcontroller, or any other suitable integrated circuits.
  • ASIC application specific integrated circuit
  • a microcontroller- based approach an Intel 80296 or 80X296 microcontroller may be employed.
  • Figure 6 illustrates the memory or storage unit 660 as a separate component from the DSP functional block 640
  • the unit 660 and the associated programs may be embedded in the DSP functional block 640.
  • the ROM and associated programs may be embedded in a microcontroller that is used to implement the DSP functional block 640.
  • FIG. 7 illustrates a computer system having a silicon eye in which the improved sensor of the present invention may be implemented.
  • the computer system 700 includes a display device 702 having a silicon eye 704.
  • the computer system 700 may also optionally include a keyboard 708, a microphone (not shown), a mouse (not shown), or any other appropriate input devices for receiving user input.
  • the silicon eye 704 is coupled to the personal computer (PC) 720 via appropriate connecting devices such a serial cable 730, or an inferred connector (not shown).
  • the serial cable 730 may be coupled to the PC 720 via a serial port conforming to a serial port standard (such as RS232 or UCB).
  • the inferred connection may be implemented in accordance with methods well known in the art.
  • the image signal is then stored and processed by the microprocessor 780, disposed on a motherboard 750.
  • Figure 8 is a block diagram illustrating in greater detail the computer system, shown in Figure 7.
  • the SPFB 816 and the interface functional block 822 are integrated with the sensor functional block 812 to comprise elements of the silicon eye 804.
  • the silicon eye 804 also includes optics (not shown) for receiving light, an input for receiving user input, and includes an output for generating the digital image in a serial format through an appropriate connecting device such as a serial cable 830, or an inferred connector.
  • an optional interface functional block 840 may be provided to translate the image information from one format into another and /or to further conform the image to a protocol supported by a bus 844.
  • the storage unit 816 illustrated in the digital image capture device, is not needed in this embodiment since memory 850 of the computer system may be employed to store the image.
  • the memory 850 may be dynamic random access memory (DRAM), a hard drive, or any other appropriate storage device in a computer system.
  • DRAM dynamic random access memory
  • a microcontroller 808, described in connection with the image capture device, is also no longer necessary in this embodiment since a processor 880 of the computer system may be employed to perform the signal processing and/or any light metering processing needed.
  • the processor 880 may be a Pentium ® processor with MMXTM technology sold by the assignee of the present invention. *
  • the memory 850 may store the signal processing program 864 and the light metering processing program 868 that was stored in the ROM in an image capture device.
  • the memory 850, the processor 880, and the interface functional block 840 communicate with each other through a bus 844.

Abstract

In an image capture system (100) having a sensor (106) with a first node (254) and a second node (267), a method of capturing image data is disclosed. The first node (254) is reset. The second node (267) is reset. An image is collected on the first node (254). The first node is then read, and a first read pixel value (V_OUT1) is provided. A second node (267) is read, and a second read pixel value (V_OUT2) is provided. An arithmetic operation is performed on the first read pixel value and the second read pixel value.

Description

AN IMPROVED LIGHT SENSOR AND A METHOD
OF EMPLOYING THE IMPROVED LIGHT SENSOR TO
CAPTURE AND PROCESS IMAGE DATA
BACKGROUND OF THE INVENTION Technical Field
The invention relates generally to image capture systems. More specifically, the invention is related to an improved light sensor and a method of employing the improved light sensor to capture and process image data. Background Art
Typical digital image capture systems such as digital cameras employ a sensor, memory and processor. Sensors are manufactured using charge coupled device (CCD) or complimentary metal oxides (CMOS) semiconductor processes. A typical CMOS sensor includes a pixel array having a plurality of pixel cells arranged in rows and columns. A correlated double sampler (CDS), an amplifier, and an analog-to-digital converter are also included for every column of the pixel array. In a typical system, light intensities captured in each pixel cell of the CMOS sensor are directly transferred a respective CDS). Thereafter, the image data is provided to an amplifier for amplification. The amplified signal is provided to the analog-to-digital converter, which converts the analog signal into a digital signal. Once the image data is converted into digital form, it is often stored in a memory and/or transferred for further processing either locally within the image capture system or remotely within another image processing system, such as a computer.
An important component in the processing of the image data is to compress the data for easier transmission and /or storage. In the prior art approach, each pixel cell generates a pixel value that is first stored in memory. The stored pixel values are then manipulated and compressed by a digital signal processing (DSP) program executing on a processor.
As the size of the pixel arrays grows, the amount of local memory required to store the pixel values also increases correspondingly. For example, as the pixel array grows from 512x512 to 1024x1024 and assuming one byte per pixel, the minimal memory requirements increase from 262,144 bytes to 1,048,576 bytes for each image captured. Consequently, four times more memory is needed to store a picture. An additional concern for video image data is the need to meet bandwidth requirements. As an array grows, additional bandwidth is needefl to transfer the additional image data at a given frame rate to other image processing systems, such as computers.
As a pixel array grows from 512 x 512 to 1024 x 1024, the bandwidth required increases by approximately four times. For example, assuming 30 frames per second, the uncompressed data rate from a sensor 512 x 512 array with (1 byte) per pixel is approximately 7.8 megabytes per second for the 512 x 512 array. The data rate is increased to 31.5 megabytes per second for the 1024 x 1024 array.
To improve picture quality and to add color to a picture, typical image processing systems increase the number of bytes employed to represent each pixel. For color applications, each pixel is typically represented by more than one byte. For example, some color processing systems employ two bytes, or 16 bits, to represent a single pixel value. As each pixel is represented by a greater number of bytes, the memory requirements and bandwidth requirements increase accordingly. Consequently, it would be desirable to provide an improved sensor that would reduce the memory storage and bandwidth requirements for image capture and transmission.
SUMMARY OF THE INVENTION In an image capture system having a sensor with a first node and a second node, a method of capturing image data is disclosed. First, the first node is reset. Then, the second node is reset. An image is collected on the first node. The first node is then read and a first read pixel value is provided. A second node is read and a second read pixel value is provided. An arithmetic operation is performed on the first read pixel value and the second read pixel value and the result of the operation is provided to the image capture system for storage or further processing.
BRIEF DESCRIPTION OF THE DRAWINGS The objects, features and advantages of the method and apparatus for the present invention will be apparent from the following description in which:
Figure 1 illustrates an image capture system configured in accordance with the teachings of the present invention. Figure 2 illustrates the improved pixel cell configured in accordance with the teachings of the present invention. *
Figure 3 is a simplified block diagram illustrating the pixel array and the focal plane processors of the improved sensor of the present invention.
Figure 4 is a flowchart illustrating how a signal processing program may employ the improved sensor to capture and process image data in accordance with one embodiment of the present invention.
Figure 5 is a block diagram of an image capture device (e.g., a digital camera) in which the improved sensor of the present invention may be implemented
Figure 6 is a block diagram illustrating in greater detail the digital signal processing functional block of Figure 5.
Figure 7 illustrates a computer system having a silicon eye in which the improved sensor of the present invention may be implemented.
Figure 8 is a block diagram illustrating in greater detail the computer system, shown in Figure 7.
DETAILED DESCRIPTION OF THE INVENTION Referring to the figures, exemplary embodiments of the invention will now be described. The exemplary embodiments are provided to illustrate aspects of the invention and should not be construed as limiting the scope of the invention. The exemplary embodiments are primarily described with reference to block diagrams. Depending upon the implementation, the corresponding apparatus element may be configured in hardware, software, firmware or combinations thereof.
Figure 1 illustrates an image capture system 100 in which an improved sensor 102 of the present invention may be implemented. The improved sensor 102 interacts with a processor 140 and a memory 150 through a bus 144. In one embodiment of the present invention, the improved sensor 102 includes a pixel array 104 having a plurality of pixels, arranged in rows and columns. For example, the pixel array 104 may include 512 x 512 pixel cells or 1024 x 1024 pixel cells. Each pixel cell features an improved architecture having a temporary storage element, a first readout circuit, and a second readout circuit, which will be described in greater detail hereinafter with reference to Figure 2. A row selector 105 is provided to specify a particular row in the pixel array 104 based on control signals provided by the controller 110. A column * selector 107 is provided to specify a column in the pixel array 104 based on control signals provided by the controller 110. The row selector 105 and the column selector 107 together specify a particular pixel cell within the pixel array 104.
The controller 110 includes one or more control registers 111 and a timing generator 112. The control registers 111 are accessible by the processor 140. For example, processor 140 may selectively read values from the registers 111 and write values into the control registers 111. The control registers 111, in turn, provide the value stored therein to the timing generator 112. The timing generator 112, based on the values provided by the control registers 111, selectively generates signals 107 to the row selector 105, the column selector 107, signals 108 to each cell in the pixel array 104, and signals 114 to a preprocessing unit 116.
The pre-processing unit 116 includes a focal plane processor 120 and an analog to digital converter 134. The focal plane processor 120 includes two inputs for receiving two pixel values 113 provided by the pixel array 104. The focal plane processor 120 performs an arithmetic or logical operation on the received values and generates a result. This result is provided to the A/D converter 134, which converts the analog result into a digital value. The digitized pixel value is then provided to bus 144 for storage or further processing. The signals 114 provided by the controller 110 to the preprocessing unit 116 specify the particular arithmetic or logical operation and also manages the timing of the processing and analog to digital conversion.
The pixel cell 106 includes an input for receiving a set of signals 108 from the controller 110 and output for providing pixel value signals 113 to the pre-processing unit 116. Control signals 108 may include, but are not limited to, RSI, RS2, Source, TX, IG, VI, and V2. These signals are described in greater detail hereinafter.
The timing generator 112 may include clock generation circuits and counters (not shown), which are known in the art. The control registers 111 may be loaded by an in-system processor 140 or indirectly by a host processor (not shown). Once loaded, the registers 111 may provide the 1) starting values, 2) increment count, 3) stopping values and 4) other information needed in the operation and control of the sequencing of the control signals.
The memory 150 may include a program 152 for providing an interface between a user and the improved sensor 102. When executing on processor 140, the program 152 may query a user for particular inputs, such as image capture time, electronic shutter controls, gam controls, light levels and specific memory types.
In the embodiment where the improved sensor 102 is incorporated in a digital camera, the program 152 may be a simple lookup table that provides hard-wired inputs to the controller 110.
In the embodiment where the image capture system 100 is tethered to a host processor (not shown), the program 152 may include graphical user interfaces (GUI's) to allow a user to interact with the improved sensor 102. Operation of a Cell 106
The cell 106 is first selected by the row selector 105 and the column selector 107. The cell 106 includes an mput for receiving the control signals 108 from the timing generator 112. In response to these control signals 108, the cell 106 generates two pixel values 113, which are provided to a pre-processing unit 116. The architecture of the improved cell 106 is described in greater detail with reference to Figure 2. The two pixel values 113 that are provided to the pre-processing unit 116 are from successive frames. The cell 106 includes a storage element for storing a first pixel value, while a second pixel value, corresponding to a pixel value m the next frame, is captured. The steps performed by the improved sensor 102 m accordance to one embodiment of the present invention is set forth in greater detail with reference to Figure 4.
It should be noted that any of cells m the pixel array 104 may be accessed m a similar fashion. In this embodiment, there is a pre-processing unit 116 associated with each column of the pixel array 104. The preprocessing units associated with the other columns of the pixel array 104 are not shown m this figure in order not to clutter the diagram.
It should be noted that, although m the preferred embodiment there is a pre-processing unit associated with each column of the pixel array 104, it is contemplated that two or more columns of the pixel array 104 may share a single pre-processing unit. In yet another embodiment of the present invention, the pre-processing unit 116 may be integrated into each pixel cell. . In the preferred embodiment, the focal plane processor 120 may be implemented with an Arithmetic Logic Unit (ALU).
In alternative embodiments, the focal plane processor may be integrated as part of each pixel cell. Although the improved sensor 102 has been described as having a pre-processing unit 120 for each column of the pixel array 104, it will be understood that other architectures are more suitable for different applications. For example, a single pre-processing unit may receive data from two adjacent columns. In this architecture, the single pre-processing unit may compare the values of adjacent columns. Since each pixel cell includes two outputs, each pre-processing unit may receive one output from a first column and a second output from an adjacent column.
In alternative embodiments, the focal plane processor may be implemented by differencing circuits, time averaging or spatial averaging circuits. The focal plane processor may also be a compensation circuit with feedback to alter the gain of the pixel drivers, or to modify the capture characteristics of the pixel. Focal plane processor may alter the pixel data by employing the surrounding pixels or the characteristics of a single pixel. For example, the value of a pixel may be changed depending on the values of the surrounding pixels if it is so determined there needs to be compensation for the pixel.
As noted previously, memory 150 is provided to store data and one or more programs for interfacing with the improved sensor of the present invention. Furthermore, memory 150 may include programs for performing further digital signal processing (DSP) on pixel data or image data. Processor 140 may be a microcontroller, such as an MC251 manufactured by the assignee of the present invention. The processor 140, under the direction of a DSP program, may perform local DSP functions.
If the digital processing of the image is deferred until the data is transferred to a personal computer (PC), the image processing program may be executed on the host processor (not shown) of the PC. The host processor may be a Pentium® processor with MMX™ technology sold by the assignee of the present invention. Figure 2 illustrates the improved pixel cell 106 configured in accordance with the teachings of one embodiment of the present invention. Each pixel cell 102 includes a first input for receiving a first reset signal (hereinafter referred to as the "PG signal"), a second input for receiving a second reset signal (hereinafter referred to as the "IG signal"), a third input for receiving a transfer signal (hereinafter referred to as the "TX signal"), a fourth input for receiving a first readout signal (hereinafter referred to as the "RSI signal"), and a fifth input for receiving a second readout signal (hereinafter referred to as the "RS2 signal").
Each pixel cell 102 includes a first node 254 for collecting light and a second node 267 that acts as a temporary storage element. Each pixel cell 102 also includes a third node 220 for providing a first pixel value (hereinafter referred to as the "V_OUTl signal") and a fourth node 224 for providing a second pixel value (hereinafter referred to as the "V_OUT2 signal").
As will be described in further detail with reference to Figure 4, a controller that controls the sensor employs the first reset signal and the second reset signal to reset the first node and second node, respectively. Moreover, the controller employs the transfer signal to transfer data between the first and second nodes. The controller employs the first readout signal to readout a first pixel value from the first node and the second readout signal to readout the second pixel value from the second node. For the sake of clarity, Table I is provided that sets forth the signal names and the corresponding signal descriptions for one embodiment of the present invention.
Table I Signal Description
Figure imgf000009_0001
The pixel cell 102 is also provided with the following power voltages (VDD VI and V2). In the preferred embodiment, VDD is approximately equaf to 3.3V, and VI and V2 are approximately equal to zero volts.
The pixel cell 102 also includes a first readout circuit 270 and a second readout circuit 280. In response to the control signals RSI and RS2, the first readout circuit 270 and the second readout circuit 280 selectively provide the V_OUTl signal and the V_OUT2 signal at the third node 220 and fourth node 224, respectively.
Figure 3 is a simplified block diagram illustrating a pixel array 104 employing the pixel cells 106 and the focal plane processors 120 of the present invention. The pixel array 104 includes a plurality of pixel cells arranged in rows and columns. For each column, there is a first conductor 114 for providing the V_OUTl signal and a second conductor 116 for providing the V_OUT2 signal. There is a focal plane processor 120 for each column. Similarly, there is an interface circuit (not shown) for each column.
Figure 4 is a flowchart illustrating how a signal processing program may employ the improved sensor to capture and process image data in accordance with one embodiment of the present invention. In step 402, the controller asserts the first reset signal (PG) to reset node 254 by device 250 and diffusion 256 to a predetermined voltage (e.g., approximately 0V). In step 404, the controller asserts the second reset signal (IG) to reset node 267 by device 284 and node 286 to the predetermined voltage. In step 408, an image is collected on node 254. In step 412, the controller asserts the first readout signal (RSI) to read node 254 through a first readout circuit 270. The first read pixel value (V_OUTl) on node 254 is provided to the third node 220. In step 414, the controller asserts the second readout signal (RS2) to read node 267 through the second readout circuit 280. The second read pixel value (V_OUT2) on node 267 is provided to the fourth node 224.
In step 418, an arithmetic operation is performed on the first read pixel value (V_OUTl) and the second read pixel value (V_OUT2). For example, the arithmetic operation may be a subtraction operation where the difference between V_OUTl and V_OUT2 is determined. In this embodiment, processing step 418 determines the difference between a pixel value of current frame N and a pixel value of a next frame (N+l). Depending on the application, other operations such as an addition operation or a comparison operation may be preferred or needed. *
In the first frame (i.e., image) that is captured by the system, the difference determined in step 418 is the pixel value associated with node 254 since node 267 is at the reset value (approximately 0V). In step 420, the difference of the first pixel value and the second pixel value is provided to the controller for further processing.
For example, the difference in pixel values may be converted into digital form and stored in a memory for further signal processing. In step 422, the controller asserts the second reset signal (IG) to reset node 267 through device 284 and diffusion 286. In step 424, the controller asserts the transfer signal (TX) to transfer the pixel value on node 254 to node 267 by employing device 268. After this transfer, node 267 contains the value corresponding to a previous frame captured for that pixel.
In decision block 432, a determination is made whether a predetermined number of frames have been processed. For example, a counter that sets the timing for control signals and a comparator may be employed to perform step 432. The comparator compares a current counter value with a preset value. When the two values match, the predetermined number of frames have been processed. The preset value may be stored in a register. The preset value may be hardwired or set by a host processor or microcontroller. The host processor may set the preset values based on user selected values (e.g., picture size and resolution). The preset value is hardwired if there are no user options regarding picture size or resolution.
If yes, the processing proceeds to step 402. If no, processing proceeds to step 408 where capture of a new picture (i.e., a next frame) occurs. Decision block 432 is provided to reduce accumulated errors and to increase the accuracy of the image capture system.
The operation of the pixel cell, the focal plane processor, and the interface circuit may be affected by user inputs. These user inputs may include, but are not limited to, picture size (e.g., a wide angle picture or a close- up picture), light levels, exposure time, selected compression algorithm (e.g., an amount of lossiness allowed for in the compression), and the use of flash in taking the picture. The user inputs that are most influential m the present invention are 1) the amount of compression, and 2) the type of compression. As the amount of compression increases, the compressed signal loses picture information Moreover, a longer time is needed to perform the compression. The processing time involved to perform the compression may affect a system designer's deαsion whether to integrate a signal processing circuit with the pixel cell or to employ a circuit external to the pixel cell, to perform the compression outside of each pixel cell.
These user inputs may also affect how often a pixel value is transferred and stored instead of the difference between a current pixel value and a previous pixel value. Once a user specifies these factors, a host processor or microcontroller, executing firmware or software, generates appropriate control signals and timing signals based on these factors
Accordingly, Figure 4 descnbes the processing steps for determining the difference between pixel values for a pixel (ι,j) for a first frame and a pixel value for the same pixel for the next frames (I e , V_OUTl of pixel (ι,j) in frame N is compared with V_OUT2 of the same pixel m frame (N+l).
Figure 5 is a block diagram of an image capture device 500 (e.g , a digital camera) m which the improved sensor 504 (hereinafter referred to as a sensor functional block (SFB)) of the present invention may be implemented The sensor functional block (SFB) 504 may include the improved pixel cell 102, the focal plane processor 120, and interface circuit 124 described m Figure 1 The SFB 504 is coupled to a digital signal processing functional block (SPFB) 508 via a first bus 512. Data and control signals are communicated between the SFB 504 and the SPFB 508 through the first bus 512 The SPFB 508 also includes an mput for user input. The user mput may include an aperture setting, a shutter speed setting, and a desired resolution setting
The information may be transferred between SPFB 508 and SFB 504 through a serial or parallel bus. The control signals for this bus are the typical read /write signals, data signals and clock signal The sensor 504 includes a plurality of registers that store and provide control signals, timing signals and start/ stop signals for the sensor 504 These functions may include integration time, and information to specify which rows and columns to read. Other signals include a start/ stop signal for controlling the transfer of data from the sensor to the host processor or memory This start/stop signal may act as an interrupt signal to suspend the operation of the sensor for short periods of time. Other signals may include outputs provided by the sensor to indicate * end-of-frame, end-of-line, and the start-of-frame.
The SPFB 508 also includes an input for receiving user inputs as described previously. Depending on camera model and complexity of the camera, set exposure time, window size, and aperture. In general, these are inputs that are selected by a switch or multi-push button that the microcontroller may ϊreadϊ. The SPFB then turns these user inputs into a code that it writes via the 512 bus to specific register in the sensor.
Although in the preferred embodiment, the sensor functional block 504 is implemented by employing complementary metal oxide semiconductor technology (CMOS), it will be understood by those skilled in the art that the SFB 504 may be implemented using standard CCD processes. The principal difference between a sensor functional block 504 implemented using a CCD process, as opposed to a CMOS process, is that the sensor functional block 504 implemented with a CCD process, generates an analog input, whereas the sensor functional block 504, implemented as in a CMOS process, includes analog to digital converters. Consequently, a signal functional block 504, implemented with a CMOS process, generates a digital image output.
A storage unit 516 is coupled to the SPFB 508 via a second bus 520. The storage unit 516 may be a embedded memory unit (e.g., FLASH memory) or any of the removable memory unit (e.g., Miniature Card). The removable memory unit may be employed to transfer data from image capture device to the PC for further processing, provided that the PC is equipped with the appropriate receptacles for the removable memory unit. As an example, with a PC Card adapter, image files on a Miniature Card may be transferred to any laptop or desktop PC that has a PC Card slot and the image data may then be viewed, edited, enhanced, or otherwise processed on the PC or be transmitted from the PC over a computer network to other devices connected to the network for printing, sharing, or other appropriate processing.
An interface functional block 518 is also coupled to the SPFB 508 via the second bus 520. The interface functional block 518 translates the data in a second bus format into a format acceptable to a display device (e.g., NTSC format or monitor format, or still image format) or to a personal computer (PC) via serial bus (e.g., USB protocol and/or RS-232 protocol). Figure 6 is a block diagram illustrating in greater detail one embodiment of the SPFB 508 of Figure 5. The SPFB 508 includes a sensor timing and control functional block 636 that is coupled to the SFB 504 via the first bus 512. The sensor timing and control functional block 636 generate timing and control signals. The sensor timing and control functional block 636 may be implemented with a custom gate array or a programmable logic array (PLA) or any other suitable integrated circuits.
A direct memory access unit (DMA) 650 is coupled to the first bus 512 and the second bus 520 and buffers and transfers data between the SFB 504 to the storage unit 516 and the interface functional block 518. The DMA unit 650 is well-known in the art and will not be described herein.
The SPFB 508 also includes a digital signal processing (DSP) functional block 640. In the preferred embodiment, the DSP functional block 640 is coupled to the first bus 504. In alternative embodiments, the DSP functional block 640 is coupled to the second bus 520 or to sensor timing and control functional block 636 and the read only memory 660. It will be understood that the general architecture described in Figures 5 and 6 may be modified to suit a particular application or optimize a specific camera system implementation.
The DSP functional block 640 is configured to perform specific signal processing operations such as noise removal, compression and other signal processing operations.
A memory or storage unit 660 such as a read only memory (ROM) is coupled to the DSP functional block 640. The unit 660 may store specific instructions such as a signal processing program 664 and a light metering program 668.
The DSP functional block 640 may be implemented by a custom application specific integrated circuit (ASIC), a custom gate array, or a microcontroller having specific DSP hardware configured around the microcontroller, or any other suitable integrated circuits. For a microcontroller- based approach, an Intel 80296 or 80X296 microcontroller may be employed.
Although Figure 6 illustrates the memory or storage unit 660 as a separate component from the DSP functional block 640, it will be known by those skilled in the art that the unit 660 and the associated programs (e.g., image compression schemes) may be embedded in the DSP functional block 640. For example, the ROM and associated programs may be embedded in a microcontroller that is used to implement the DSP functional block 640.
Figure 7 illustrates a computer system having a silicon eye in which the improved sensor of the present invention may be implemented. The computer system 700 includes a display device 702 having a silicon eye 704. The computer system 700 may also optionally include a keyboard 708, a microphone (not shown), a mouse (not shown), or any other appropriate input devices for receiving user input. The silicon eye 704 is coupled to the personal computer (PC) 720 via appropriate connecting devices such a serial cable 730, or an inferred connector (not shown). The serial cable 730 may be coupled to the PC 720 via a serial port conforming to a serial port standard (such as RS232 or UCB). The inferred connection may be implemented in accordance with methods well known in the art. As will be described in greater detail in Figure 8, the image signal is then stored and processed by the microprocessor 780, disposed on a motherboard 750.
Figure 8 is a block diagram illustrating in greater detail the computer system, shown in Figure 7. In a computer system having the silicon eye, the SPFB 816 and the interface functional block 822 are integrated with the sensor functional block 812 to comprise elements of the silicon eye 804. The silicon eye 804 also includes optics (not shown) for receiving light, an input for receiving user input, and includes an output for generating the digital image in a serial format through an appropriate connecting device such as a serial cable 830, or an inferred connector.
On the motherboard, an optional interface functional block 840 may be provided to translate the image information from one format into another and /or to further conform the image to a protocol supported by a bus 844.
The storage unit 816, illustrated in the digital image capture device, is not needed in this embodiment since memory 850 of the computer system may be employed to store the image. The memory 850 may be dynamic random access memory (DRAM), a hard drive, or any other appropriate storage device in a computer system.
A microcontroller 808, described in connection with the image capture device, is also no longer necessary in this embodiment since a processor 880 of the computer system may be employed to perform the signal processing and/or any light metering processing needed. The processor 880 may be a Pentium® processor with MMX™ technology sold by the assignee of the present invention. *
Moreover, the memory 850 may store the signal processing program 864 and the light metering processing program 868 that was stored in the ROM in an image capture device. The memory 850, the processor 880, and the interface functional block 840 communicate with each other through a bus 844.
The exemplary embodiments described herein are provided merely to illustrate the principles of the invention and should not be construed as limiting the scope of the invention. Rather, the principles of the invention may be applied to a wide range of systems to achieve the advantages described herein and to achieve other advantages or to satisfy other objectives as well.

Claims

1. In an image capture system having a sensor, said sensor having a first * node and a second node, a method of capturing image data comprising the steps of: a) resetting the first node; b) resetting the second node; c) collecting an image on the first node; d) reading a first pixel value from the first node; e) reading a second pixel value from the second node; f) performing an arithmetic operation on a first read pixel value and a second read pixel value to generate a result; and g) providing the result to the image capture system.
2. The method of claim 1 wherem the step of performing an arithmetic operation on the first read pixel value and the second read pixel value includes the step of determining the difference between the first read pixel value and the second read pixel value.
3. The method of claim 1 further comprising the step of a) resetting the second node; and b) transferring a pixel value from the first node to the second node.
4. The method of claim 3 further comprising, after the step of transferring a pixel value from the first node to the second node, the step of proceeding to step c)
5 The method of claim 3 further comprising the step of after transferring the pixel value from the first node to the second node, determining whether a predetermined number of frames has been processed; if yes, proceeding to step a) of claim 1, else, proceeding to step c).
6. In an image capture system having a sensor and a controller for controlling said sensor, said sensor including a pixel array having a plurality of pixel cells arranged in rows and columns, each pixel cell having a first node for collecting an image, a second node, a third node for providing a first pixel value and a fourth node for providing a second pixel value, a focal plane processor for processing said first pixel value and second pixel value, a method of capturing image data comprising the steps of- a) said controller asserting a first reset signal to reset the first node to a predetermined value; * b) said controller asserting a second reset signal to reset the second node to said predetermined value; c) said pixel cell collecting an image on the first node; d) said controller asserting a first readout signal to read a first pixel value from the first node and to provide the first read pixel value to the third node; e) said controller asserting a first readout signal to read a second pixel value from the second node and to provide the second read pixel value to the fourth node; f) said focal plane processor performing an arithmetic operation on the first read pixel value and the second read pixel value to generate a result; and g) said focal plane processor providing said result to said image capture system.
7. The method of claim 6 wherein the step of performing an arithmetic operation includes determining the difference between the first pixel value and the second read pixel value.
8. The method of claim 6 further comprising the step of a) said controller asserting the second reset signal to reset the second node; and b) said controller asserting a transfer signal to transfer a pixel value on the first node to the second node.
9. The method of claim 6 wherein said predetermined value is approximately 0 volts.
10. The method of claim 8 wherein the processing after the step of transferring a pixel value from the first node to the second node proceeds to step c).
11. The method of claim 8 further comprising the steps of: said controller determining whether a predetermined number of frames have been processed; if yes, said processing proceeding to step a) of claim 6; else, said processing proceeding to step c).
12. An image capture system comprising: a) a sensor for capturing image data having i) a pixel array having a plurality of pixel cells arranged in * rows and columns, each pixel cell having a first node for collecting image data, a second node, a third node for providing a first pixel value, and a fourth node for providing a second pixel value; ii) a first data conductor, coupled to the third node for comrnunicating the first pixel value; iii) a second data conductor, coupled to the fourth node for communicating the said second pixel value; iv) a focal plane processor coupled to the first data conductor and the second data conductor for receiving the first pixel value and the second pixel value, respectively, and responsive thereto performing an arithmetic operation on the first pixel value and the second pixel value to generate a result, said focal plane processor having an output for providing the result; v) an interface circuit, coupled to the output of each focal plane processor, for interfacing the focal plane processor to a bus; and b) a controller, coupled to said sensor, for controlling said sensor via control signals, said control signals including a first reset signal, an second reset signal, a transfer signal, an first readout signal and an second readout signal, said controller for managing the transfer of data from the pixel cell to the focal plane processor, for controlling the focal plane processor, for managing the transfer of data from the focal plane processor to the interface circuit, for controlling said interface circuit and for managing the transfer of data to the bus.
13. The image capture system of claim 12 wherein said controller is an Intel 80296 microcontroller.
14. The image capture system of claim 12 wherein the focal plane processor is a comparator.
15. The image capture system of claim 12 wherein each pixel cell includes a first readout circuit for providing the first pixel value and a second readout circuit for providing the second pixel value.
16. The image capture system of claim 15 wherein the interface circuit includes a correlated double sampler.
17. The image capture system of claim 16 wherein the interface circuit further includes an amplifier coupled to the correlated double sampler for * providing gain to the output of the correlated double sampler.
18. The image capture system of claim 17 wherein the interface circuit further includes an analog-to-digital converter coupled to the amplifier for converting the analog output of the amplifier to a digital value suitable for transmission on said bus.
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