A tunable fuzzy filter based on differences between pixels

This paper presents a new fuzzy filter structure for edge-preserving smoothing of an image corrupted by impulsive and white Gaussian noise. This filter structure is expressed as an adaptive weighted mean filter that uses fuzzy control. The coefficients of the proposed filter can be varied adaptively by fuzzy control laws based on differences between pixels in the window. The parameter of this filter can be adjusted by learning. Finally, simulation results demonstrate the effectiveness of the proposed technique.