Minimum-Maximum Exclusive Weighted-Mean Filter with Adaptive Window(Digital Signal Processing)
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概要
- 論文の詳細を見る
In this paper, we present a minimum-maximum exclusive weighted-mean filtering algorithm with adaptive window. Image pixels within the varying size of the window are ranked and classified as minimum-maximum and median levels, and then passed through the weighted-mean of median level and identity filters, respectively. The filtering window size is adaptively increasing according to noise ratio without noise measurement. Extensive simulations show that the proposed filter performs better than other median/rank-type filters in removing impulse noise of highly corrupted images.
- 社団法人電子情報通信学会の論文
- 2005-09-01
著者
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LEE Changhoon
School of Physics, Seoul National Univ.
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Lee Changhoon
Center For Information Security Technologies (cist) Korea University
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Lee Changhoon
School Of Physics Seoul National Univ.
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OH Jinsung
School of Electrical Eng., Halla University
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KIM Younam
School of Electrical Eng., Halla University
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Kim Younam
Department Of Electrical Eng. Halla University
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Oh Jinsung
Halla Univ. Kangwon Kor
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Oh Jinsung
School Of Electrical Eng. Halla Univ.
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Kim Younam
Halla Univ. Kangwon Kor
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