Edge-preserving smoothing by adaptive nonlinear filters based on fuzzy control laws

This paper proposes a novel type of edge-preserving smoothing filters to he applied to the images corrupted with impulsive and white Gaussian noise. This filter is based on the weighted mean filter whose coefficients can be varied adaptively by some kinds of local features in the window. The fuzzy control laws can be used for the implementation of the proposed filter and the optimization technique for the parameters of the membership functions and the fuzzy rules are described. Finally, the simulation example is given to illustrate the effectiveness of the proposed technique.