An Implementation of Tunable FuzzyFilters for Mixed Noise Reduction (Special Section on Noise Cancellation and Reduction Techniques)
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概要
- 論文の詳細を見る
This paper presents a new implementation of fuzzy filters for edge-preserving smoothing of an image corrupted by impulsive and white Gaussian noise. This filter structure is expressed as an adaptive weighted mean filter that uses fuzzy control. The parameters of this filter can be adjusted by learning. Finally, simulation results demonstrate the effectiveness of the proposed technique.
- 社団法人電子情報通信学会の論文
- 2001-02-01
著者
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Muneyasu Mitsuji
The Faculty Of Engineering Hiroshima University
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ASOU Kouichiro
the Faculty of Engineering, Hiroshima University
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WADA Yuji
the Faculty of Engineering, Hiroshima University
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TAGUCHI Akira
the Faculty of Engineering, Musashi Institute of Technology
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HINAMOTO Takao
the Faculty of Engineering, Hiroshima University
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Asou Kouichiro
The Faculty Of Engineering Hiroshima University:(present Address) Fujitsu Co. Ltd.
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Hinamoto Takao
The Faculty Of Engineering Hiroshima University
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Taguchi Akira
The Faculty Of Engineering Musashi Institute Of Technology
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Wada Yuji
The Faculty Of Engineering Hiroshima University:(present Address) Victor Co. Ltd.
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MUNEYASU Mitsuji
the Faculty of Engineering and Science, Kansai University
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