Focal Plane Compression Sensors Based on Pixel Parallel and Column Parallel Architectures

We propose a novel integration of compression and sensing in order to enhance performance of the image sensor. By integrating compression function on the sensor plane, the image signal that has to be readout from the sensor is significantly reduced. Thus, the integration can consequently increase the pixel rate of the sensor. The compression scheme we make use of is conditional replenishment that detects and encodes moving areas. In this paper, we discuss design and implementation of two architectures for focal plane compression. One is pixel parallel approach and the other is column parallel approach. We describe and compare both approaches. We show some results obtained by implementation of the pixel parallel approach.