Parameter-Free Restoration Algorithms for Two Classes of Binary MRF Images Degraded by Flip-Flap Noises
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概要
- 論文の詳細を見る
The problem of restoring binary (black and white) images degraded by color-dependent flip-flap noises is considered. The real image is modeled by a Markov Random Field (MRF). The Iterated Conditional Modes (ICM) algorithm is adopted. It is shown that under certain conditions the ICM algorithm is insensitive to the MRF image model and noise parameters. Using this property, we propose a parameter-free restoration algorithm which does not require the estimations of the image model and noise parameters and thus can be implemented fully in parallel. The effectiveness of the proposed algorithm is shown through applying the algorithm to degraded hand-drawn and synthetic images.
- 社団法人電子情報通信学会の論文
- 1997-10-25
著者
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Zhang B
Key Laboratory For Polymeric Composite And Functional Materials Of Ministry Of Education Zhongshan U
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Zhang Bing
Key Laboratory For Polymeric Composite And Functional Materials Of Ministry Of Education Zhongshan U
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Zhang Bing
Kansai Advanced Research Center Communications Research Laboratory Ministry Of Posts And Telecommuni
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SHIRAZI Mehdi
the Faculty of Information Science of Osaka Institute of Technology
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NODA Hideki
the Department of Electrical, Electronic, & Computer Engineering of Kyushu Institute of Technology
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Shirazi Mehdi
Faculty Of Information Science Osaka Institute Of Technology
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Zhang Bing
Research Center Of Materials Science Beijing Institute Of Technology
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Shirazi M
Communications Research Laboratory Keihanna Human Info-communications Research Center
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