A Programmable Vision Chip with Pixel-Neighborhood Level Parallel Processing

This paper presents a novel vision chip architecture based on pixel-neighborhood level parallel processing. The architecture consists of neighborhoods of 8 x 8 digital pixel sensors, where each group of 8 x 8 sensors is physically embedded within its own neighborhood processing core on the same focal plane. To that end, a low complexity neighborhood processor architecture along with a general-purpose, 8-bit instruction set has been designed and implemented. This allows program execution to be carried out in parallel on a two-dimensional array of pixel-neighborhood processing cores, allowing for direct scalability in terms of resolution. A prototype vision chip housing an array of 8 x 10 neighborhoods with a 64 x 80 resolution has been designed and fabricated in a 0.13 mu m fabrication process. The single-chip vision system can be programmed to perform a variety of image and video processing tasks. A number of image processing tasks are presented to demonstrate the functionality of pixel-neighborhood level parallelism.