DocumentCode
298559
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
Volume
2
fYear
1995
fDate
30 Apr-3 May 1995
Firstpage
961
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1995. ISCAS '95., 1995 IEEE International Symposium on
Conference_Location
Seattle, WA
Print_ISBN
0-7803-2570-2
Type
conf
DOI
10.1109/ISCAS.1995.519925
Filename
519925
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