Cmos Image Sensors Dynamic Range and Snr Enhancement via Statistical Signal Processing

ii I certify that I have read this dissertation and that, in my opinion, it is fully adequate in scope and quality as a dissertation for the degree of Doctor of Philosophy. Abbas El Gamal (Principal Adviser) I certify that I have read this dissertation and that, in my opinion, it is fully adequate in scope and quality as a dissertation for the degree of Doctor of Philosophy. I certify that I have read this dissertation and that, in my opinion, it is fully adequate in scope and quality as a dissertation for the degree of Doctor of Philosophy. Abstract Most of today's video and digital cameras use CCD image sensors, where the electric charge collected by the photodetector array during exposure time is serially shifted out of the sensor chip resulting in slow readout speed and high power consumption. Recently developed CMOS image sensors, by comparison, are read out non-destructively and in a manner similar to a digital memory and can thus be operated at very high frame rates. A CMOS image sensor can also be integrated with other camera functions on the same chip ultimately leading to a single-chip digital camera with very compact size, low power consumption and additional functionality. CMOS image sensors , however, generally suffer from lower dynamic range than CCDs due to their high read noise and non-uniformity. Moreover, as sensor design follows CMOS technology scaling, well capacity will continue to decrease, eventually resulting in unacceptably low SNR. In this dissertation, new pixel architectures and algorithms are presented that enhance the dynamic range and SNR of CMOS image sensors by utilizing their high speed readout and integration advantages. The thesis is divided into three parts. First, a 352 × 288 Digital Pixel Sensor (DPS) chip with per-pixel single-slope ADC and dynamic memory fabricated in a standard digital 0.18µm CMOS process is presented that demonstrates the high speed potential and scaling advantage of CMOS image sensors. The chip performs " snapshot " image acquisition at continuous rate of 10, 000 frames/s or 1 Gpixels/s. Second, an algorithm based on statistical signal processing techniques is presented that synthesizes a high dynamic range, motion blur free, still image or video sequence from multiple image captures. The algorithm iv is recursive and consists of two main procedures – photocurrent estimation and mo-tion/saturation detection. Photocurrent estimation is used to reduce read noise and thus to enhance dynamic range at …

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