Realization of adaptive edge-preserving smoothing filters

Abstract

This paper proposes a novel type of edge-preserving smoothing filter to be applied to an image corrupted by impulsive and white Gaussian noise. This filter is based on a weighted mean filter having two kinds of coefficient for impulsive and white Gaussian noise. These coefficients can be varied adaptively by local features in the window. Fuzzy control laws that can be used for the implementation of the proposed filter are described. To reduce the computational burden, the fuzzy inference model proposed by Ichihashi and coworkers is employed. Finally, we demonstrate the effectiveness of the proposed technique by using results from a simulation. 1997 Scripta Technica, Inc. Electron Comm Jpn Pt 3, 80(10): 19–27, 1997