Implementations of on sensor image compression and comparisons between pixel and column parallel architectures

Abstract

In order to enhance performance of an image sensor, we have been investigating a novel integration of compression and sensing. By this integration, the image signal that has to be readout from the sensor is significantly reduced. Thus, the integration can consequently leads to high pixel rate sensing. The compression scheme we make use of is conditional replenishment that detects and encodes moving areas. We have developed prototypes based on two different architectures, that are pixel parallel and column parallel architectures. We present the two prototypes and their comparisons, and show the results obtained by them.