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Optical Engineering

Probabilistic nonlinear diffusion image filter
Author(s): Chun Hung Li; Peter K. S. Tam
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Paper Abstract

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.

Paper Details

Date Published: 1 September 2000
PDF: 6 pages
Opt. Eng. 39(9) doi: 10.1117/1.1287936
Published in: Optical Engineering Volume 39, Issue 9
Show Author Affiliations
Chun Hung Li, Hong Kong Baptist Univ. (Hong Kong)
Peter K. S. Tam, Hong Kong Polytechnic Univ. (Hong Kong)


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