The Family of Regularized Parametric Projection Filters for Digital Image Restoration
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概要
- 論文の詳細を見る
Optimum filters for an image restoration are formed by a degradation operator, a covariance operator of original images, and one of noise. However, in a practical image restoration problem, the degradation operator and the covariance operators are estimated on the basis of empirical knowledge. Thus, it appears that they differ from the true ones. When we restore a degraded image by an optimum filter belonging to the family of Projection Filters and Parametric Projection Filters, it is shown that small deviations in the degradation operator and the covariance matrix can cause a large deviation in a restored image. In this paper, we propose new optimum filters based on the regularization method called the family of Regularized Projection Filters, and show that they are stable to deviations in operators. Moreover, some numerical examples follow to confirm that our description is valid.
- 社団法人電子情報通信学会の論文
- 1999-03-25
著者
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Miyakoshi Masaaki
Division Of Computer Science Graduate School Of Information Science And Technology Hokkaido Universi
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Miyakoshi Masaaki
Division Of Systems And Information Engineering Graduate School Of Engineering Hokkaido University
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IMAI Hideyuki
Division of Systems and Information Engineering, Graduate school of Engineering, Hokkaido University
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TANAKA Akira
Division of Medical Chemistry, National Institute of Hygienic Sciences
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Imai Hideyuki
Division Of Systems And Information Engineering Graduate School Of Engineering Hokkaido University
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Tanaka Akira
Division Of Biological Chemistry And Reference Standards National Institute Of Hygienic Sciences
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IMAI Hideyuki
Division of Computer Science, Graduate School of Information Science and Technology, Hokkaido University
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