Journal
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
Volume 51, Issue 4, Pages 824-828Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIM.2002.803394
Keywords
fuzzy neural networks; image enhancement; image processing; nonlinear filters
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A new approach to contrast enhancement of image data is presented. The proposed method is based on a multiple-output system that adopts fuzzy models in order to prevent the noise increase during the sharpening of the image details. Key features of the proposed technique are better performance than available methods in the enhancement of images corrupted by Gaussian noise and no complicated tuning of fuzzy set parameters. In fact, the overall nonlinear behavior of the enhancement system is very easily controlled by one parameter only.
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