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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| Veröffentlicht in: | IEEE transactions on cybernetics 2000-02, Vol.30 (1), p.110-119 |
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| container_end_page | 119 |
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| container_title | IEEE transactions on cybernetics |
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| creator | Farbiz, F. Menhaj, M.B. Motamedi, S.A. Hagan, M.T. |
| description | 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. |
| doi_str_mv | 10.1109/3477.826951 |
| format | Article |
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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.</description><subject>Cybernetics</subject><subject>Filtering</subject><subject>Filtering algorithms</subject><subject>Filters</subject><subject>Filtration</subject><subject>Fuzzy logic</subject><subject>Gaussian</subject><subject>Gaussian noise</subject><subject>Image enhancement</subject><subject>Image processing</subject><subject>Information filtering</subject><subject>Noise</subject><subject>Pixel</subject><subject>Smoothing methods</subject><subject>Testing</subject><issn>1083-4419</issn><issn>2168-2267</issn><issn>1941-0492</issn><issn>2168-2275</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2000</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNqN0U1Lw0AQBuBFFFurJ28eJHhQQVJ3Nvt5LMUvKHjRc0g3k5qSJnWTIO2vd0uCgofiaZfdZ2ZgXkLOgY4BqLmPuFJjzaQRcECGYDiElBt26O9URyHnYAbkpK6XlFJDjTomA9CMcxVFQzKeBCV-BVm73W6ColrkNsjyokEXZJUL8lWywADLj6S0uMKyOSVHWVLUeNafI_L--PA2fQ5nr08v08kstFzoJowsEzzlmWASE5H5t9SqVKFRfrCQ6dwwKawVFqQAmwLjNKERJIxmYIxi0YjcdH3XrvpssW7iVV5bLIqkxKqtYxVxxo3k2svrvZJpY6gw6h9QUKrFP6CSTAnNPbzdC0EqYMLHsqNXf-iyal3pVxhrP1cJacCjuw5ZV9W1wyxeO5-A28RA413U8S7quIva68u-ZTtfYfpr-2w9uOhAjog_3331N8jVpwg</recordid><startdate>20000201</startdate><enddate>20000201</enddate><creator>Farbiz, F.</creator><creator>Menhaj, M.B.</creator><creator>Motamedi, S.A.</creator><creator>Hagan, M.T.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| issn | 1083-4419 2168-2267 1941-0492 2168-2275 |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Cybernetics Filtering Filtering algorithms Filters Filtration Fuzzy logic Gaussian Gaussian noise Image enhancement Image processing Information filtering Noise Pixel Smoothing methods Testing |
| title | A new fuzzy logic filter for image enhancement |
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