REALIZATION OF ADAPTIVE EDGE-PRESERVING SMOOTHING FILTERS

This paper proposes a novel type of edge-preserving smoothing filter t o be applied to an image corrupted by impulsive and white Gaussian noi se. This filter is based on a weighted mean filter having two kinds of coefficient for impulsive and white Gaussian noise. These coefficient s can be varied adaptively by local features in the window. Fuzzy cont rol laws that can be used for the implementation of the proposed filte r are described. To reduce the computational burden, the fuzzy inferen ce model proposed by Ichihashi and coworkers is employed. Finally we d emonstrate the effectiveness of the proposed technique by using result s from a simulation. 1997 Scripta Technica, Inc.