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