  Imaging and Image sensors is a field that is continuously evolving. There are
new products coming into the market every day. Some of these have very severe
Size, Weight and Power constraints whereas other devices have to handle very
high computational loads. Some require both these conditions to be met
simultaneously. Current imaging architectures and digital image processing
solutions will not be able to meet these ever increasing demands. There is a
need to develop novel imaging architectures and image processing solutions to
address these requirements. In this work we propose analog signal processing as
a solution to this problem. The analog processor is not suggested as a
replacement to a digital processor but it will be used as an augmentation
device which works in parallel with the digital processor, making the system
faster and more efficient. In order to show the merits of analog processing two
stereo correspondence algorithms are implemented. We propose novel
modifications to the algorithms and new imaging architectures which,
significantly reduces the computation time.
