A new fuzzy logic filter for image enhancement

This paper presents a new fuzzy-logic-control based filter with the ability to remove impulsive noise and smooth Gaussian noise, while, simultaneously , preserving edges and image details efficiently. To achieve these three im age enhancement goals, we first develop filters that have excellent edge-pr eserving capability but do not perform well in smoothing Gaussian noise, Ne xt, we modify the filters so that they perform all three image enhancement tasks. These filters are based on the idea that individual pixels should no t be uniformly fired by each of the fuzzy rules. To demonstrate the capabil ity of our filtering approach, it was tested on several different image enh ancement problems. These experimental results demonstrate the speed, filter ing quality, and image sharpening ability of the new filter.