Title :
Adaptive weighted median filters by using fuzzy techniques
Author :
Meguro, Mitsuhiko ; Taguchi, Akira
Author_Institution :
Dept. of Electr. & Electron. Eng., Musashi Inst. of Technol., Tokyo, Japan
Abstract :
In this paper, we propose adaptive weighted median (AWM) filters based on local statistics. We show two ways of realizing the AWM filters. One is a simple type of AWM filter, whose weights are given by a simple non-linear function of three local characteristics. The other is the AWM filter which is constructed by fuzzy rules (fuzzy weighted median: FWM filters). By using the rule-based fuzzy techniques, the better weights are easily derived. Experimental results show AWM filters can suppress nonimpulsive and impulsive noise, while preserving signal details
Keywords :
adaptive filters; filtering theory; fuzzy logic; knowledge based systems; median filters; AWM filters; adaptive weighted median filters; fuzzy techniques; fuzzy weighted median filters; impulsive noise; local statistics; nonimpulsive noise; nonlinear function; rule-based fuzzy techniques; signal details; Adaptive filters; Attenuation; Degradation; Image processing; Image recognition; Image restoration; Noise reduction; Nonlinear filters; Signal restoration; Statistics;
Conference_Titel :
Circuits and Systems, 1996. ISCAS '96., Connecting the World., 1996 IEEE International Symposium on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-3073-0
DOI :
10.1109/ISCAS.1996.540339
