Programmable Compressed Sensing Using Simple Deterministic Sensing Matrices

摘要

This paper presents a methodology for programmable on-sensor compressed sensing (CS) of images using pixel binning techniques. This work uses simple sparse deterministic matrices for the ease of implementation. The use of binning technique allows pixels to shift between CS and non-CS modes by the use of control signals. It also allows flexibility to perform CS on selected regions of image. Operation on CS mode has potential to cut raw data rate and power consumption by more than half, double the frame rate and increase low light sensitivity while achieving reconstruction PSNR close to 34 dB. This work also shows that CS has a very good potential for reconstruction of binned images.