DocumentCode
2230532
Title
Removal of mixed noise by using fuzzy rules
Author
Taguchi, Aura
Author_Institution
Dept. of Electr. & Electron. Eng., Musashi Inst. of Technol., Tokyo, Japan
Volume
1
fYear
1998
fDate
21-23 Apr 1998
Firstpage
176
Abstract
We have proposed fuzzy filters in order to remove additive nonimpulsive noise (e.g., Gaussian noise) while preserving signal details. In this paper, we propose a novel fuzzy filter for removing mixed noise (i.e., Gaussian noise and impulse noise are mixed). In order to remove mixed noise efficiently, we set fuzzy rules by using multiple difference values between arbitrary two pixels in a filter window. We show tuning result of the proposed fuzzy filter and present some simulation results
Keywords
filtering theory; fuzzy set theory; interference suppression; signal processing; Gaussian noise; additive nonimpulsive noise; fuzzy filter; fuzzy filters; fuzzy rules; mixed noise removal; multiple difference values; window; Adaptive filters; Additive noise; Computational modeling; Filtering; Fuzzy set theory; Fuzzy sets; Gaussian noise; Image processing; Image restoration; Nonlinear filters;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge-Based Intelligent Electronic Systems, 1998. Proceedings KES '98. 1998 Second International Conference on
Conference_Location
Adelaide, SA
Print_ISBN
0-7803-4316-6
Type
conf
DOI
10.1109/KES.1998.725843
Filename
725843
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