Fuzzy Filtering Algorithms for Image Processing: Performance Evaluation of Various Approaches
نویسندگان
چکیده
Nonlinear techniques have recently assumed significance as they are able to suppress non-Gaussian and signal dependent noise to preserve important signal elements such as edges and fine details and eliminate degradations occurring during signal formation or transmission through nonlinear channels. Among nonlinear techniques, the fuzzy logic based approaches are important as they are capable of reasoning with vague and uncertain information. In this paper various fuzzy filtering schemes are implemented and their performance is evaluated for different test images and noise models. The mean square error (MSE) is used as performance measure to examine the efficacy of these methods.
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