A new fuzzy logic filter for image enhancement
Farzam Farbiz, Mohammad Bagher Menhaj, Seyed Ahmad Motamedi, Matthew Hagan · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · 2000
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 image enhancement goals, we first develop filters that have excellent edge-preserving capability but do not perform well in smoothing Gaussian noise. Next, we modify the filters so that they perform all three image enhancement tasks. These filters are based on the idea that individual pixels should not be uniformly fired by each of the fuzzy rules. To demonstrate the capability of our filtering approach, it was tested on several different image enhancement problems. These experimental results demonstrate the speed, filtering quality, and image sharpening ability of the new filter.