A Probabilistic Image Model for Smoothing and Compression

Authors:
C. H. Li;P. C. Yuen;P. K. S. Tam
Affiliations:
-;-;-
Venue:
ITCC '00 Proceedings of the The International Conference on Information Technology: Coding and Computing (ITCC'00)
Year:
2000

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Abstract

In this paper, the problem of edge preserving smoothing in image processing is tackled by combining a noise corruption model and a region and edge image model. 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 non-linear filter with coefficients as functions of the estimated noise variance and edge intensity. Such a model-based approach allows the design of improved filters for noise filtering and image compression. Experimental results demonstrate the improved performance of the filter for both synthetic and natural images.