Adaptive L-filters based on fuzzy rules

Akira Taguchi; Mitsuhiko Meguro

doi:10.1117/12.205267

28 March 1995 Adaptive L-filters based on fuzzy rules

Akira Taguchi, Mitsuhiko Meguro

Proceedings Volume 2424, Nonlinear Image Processing VI; (1995) https://doi.org/10.1117/12.205267
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States

Abstract

An adaptive smoothing filter is proposed for reducing non-stationary or mixed noises efficiently. The output of the adaptive filter is the weighted sum of typical five L-filters' outputs. The weights are estimated by using fuzzy rules. Since the antecedents of the fuzzy rules can be composed of several local measurements, it is possible for the proposed filter to adjust its weights to adapt to local data. The performance of the proposed filter is compared to several reported filters.

Citation Download Citation

Akira Taguchi and Mitsuhiko Meguro "Adaptive L-filters based on fuzzy rules", Proc. SPIE 2424, Nonlinear Image Processing VI, (28 March 1995); https://doi.org/10.1117/12.205267

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