Title :
Adaptive L-filters based on fuzzy rules
Author :
Taguchi, Akira ; Meguro, Mitsuhiko
Author_Institution :
Dept. of Electr. & Electron. Eng., Musashi Inst. of Technol., Tokyo, Japan
fDate :
30 Apr-3 May 1995
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
Keywords :
adaptive filters; fuzzy set theory; image enhancement; interference suppression; nonlinear filters; smoothing methods; adaptive L-filters; adaptive smoothing filter; fuzzy rules; noisy images; weights; Adaptive algorithm; Adaptive filters; Attenuation; Electronic mail; Image processing; Information filtering; Information filters; Noise reduction; Smoothing methods; Tail;
Conference_Titel :
Circuits and Systems, 1995. ISCAS '95., 1995 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2570-2
DOI :
10.1109/ISCAS.1995.519925
