A matrix transform imager and architecture

We introduce our transform imager technology and architecture. This approach allows for retina and higher-level bio-inspired computation in a programmable architecture that still possesses similar high-fill factor pixels to APS imagers. This imager is capable of programmable matrix operations on the image, where we can represent the image as either a full matrix or using block matrix operations. The resulting data-flow architecture directly allows computation of spatial transforms, motion computations, and stereo computations. The core imager performs computation at the pixel plane. but still holds to a fill factor greater than 40 percent. Each pixel is composed of a photodiode sensor element and a multiplier.