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Title
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Image Enhancement Based On Fuzzy Logic
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Author
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Harish Kundra, Er. Aashima, Er. Monika Verma
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Citation |
Vol. 9 No. 10 pp. 141-145
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Abstract
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Removing and reducing impulse noise is very active research area in image processing. Present day applications require various kinds of images and pictures as sources of information for interpretation and analysis. Whenever an image is converted from one form to another, some form of degradation occurs at the output. The output image has to undergo a process called image enhancement. An effective method for image enhancement was presented by Russo, which was controlled by tuning of one parameter. In this paper, a filter is introduced which will remove the noise and improve the contrast of the image. To achieve this goal fuzzy-logic-control based approach is used. The filter is tested on the colored images.
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Keywords
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Image Enhancement, Fuzzy Logic
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URL
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http://paper.ijcsns.org/07_book/200910/20091018.pdf
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