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 image enhancement goals, we first develop filters that have excellent edge-pr...

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Bibliographic Details
Published inIEEE transactions on systems, man and cybernetics. Part B, Cybernetics Vol. 30; no. 1; pp. 110 - 119
Main Authors Farbiz, F., Menhaj, M.B., Motamedi, S.A., Hagan, M.T.
Format Journal Article
LanguageEnglish
Published United States IEEE 01.02.2000
Subjects
Cybernetics
Filtering
Filtering algorithms
Filters
Filtration
Fuzzy logic
Gaussian
Gaussian noise
Image enhancement
Image processing
Information filtering
Noise
Pixel
Smoothing methods
Testing
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Summary: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.
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ISSN:1083-4419
1941-0492
DOI:10.1109/3477.826951