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Enhancement of noisy image data is a very challenging issue in many research and application areas. In the last few years, nonlinear filters based on fuzzy models have been shown to be very effective in removing noise without destroying the useful information contained in the image data. The aim of this paper is to provide a comprehensive overview of most significant methods in the literature and to present some new advances in the field of evolutionary neural fuzzy filters.
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F. Russo (1998) studied this question.
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