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Adaptive weighted median filters by using fuzzy techniques

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2 Author(s)
Meguro, M. ; Dept. of Electr. & Electron. Eng., Musashi Inst. of Technol., Tokyo, Japan ; Taguchi, A.

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

Published in:

Circuits and Systems, 1996. ISCAS '96., Connecting the World., 1996 IEEE International Symposium on  (Volume:2 )

Date of Conference:

12-15 May 1996