Shot Noise Suppression in Image Sensors

Abstract

Shot noise is fundamental to photo detection. In image sensors there is an opportunity for incorporating lateral processing for reduction of both shot noise and thermal noise. Based on Bayesian argument we derive an optimal noise-smoothing model that suppresses the noise while preserving image discontinuities that are due to the scene structure. Further we show a focal plane implementation of this model using a compact electronic network.. Simulated experimental results are presented and similarities with human vision are discussed.