Probabilistic nonlinear diffusion image filter

Chun Hung Li; Peter K. S. Tam

doi:10.1117/1.1287936

1 September 2000 Probabilistic nonlinear diffusion image filter

Chun Hung Li, Peter K. S. Tam

Optical Engineering, Vol. 39, Issue 9, (September 2000). https://doi.org/10.1117/1.1287936

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.

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

Published: 1 September 2000

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