1 September 2000 Probabilistic nonlinear diffusion image filter
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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.
Chun Hung Li, Chun Hung Li, Peter K. S. Tam, Peter K. S. Tam, "Probabilistic nonlinear diffusion image filter," Optical Engineering 39(9), (1 September 2000). https://doi.org/10.1117/1.1287936 . Submission:

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