Probabilistic nonlinear diffusion image filter
Chun Hung Li, P.K.S. Tam · Optical Engineering · 2000
A stochastic image model is proposed for edge preserving smoothing. The derivation of the probability model for the first-order difference in the gray levels of the region pixels and edge pixels lead to a nonlinear filter with coefficients as functions of the estimated noise variance and edge intensity. Such a model-based approach enables the design of improved filters for noise filtering. Experimental results demonstrate the improved performance of the filter for both synthetic and natural images.