BAYESIAN IMAGE RESTORATION VIA VARYING NEIGHBORHOOD STRUCTURE
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- NITTONO Ken
- Graduate School of Science and Engineering, Chuo University
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- KAMAKURA Toshinari
- Department of Industrial and Systems Engineering, Chuo University
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抄録
A modified method for Bayesian image restoration using varying neighborhood structure is proposed. The method reduces computational burden for yielding a restored image due to the dynamical change of structural forms of neighborhood, which should be iteratively and adaptively composed through the process of the restoration calculation. Although, in practice, the results of restoration generally depend on given data, our simulation results show that the method is effective for some given gray-scale images with moderate additive Gaussian noise.
収録刊行物
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- Journal of the Japanese Society of Computational Statistics
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Journal of the Japanese Society of Computational Statistics 14 (1), 31-47, 2001-12-01
日本計算機統計学会
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詳細情報 詳細情報について
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- CRID
- 1570291226977214592
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- NII論文ID
- 110001235639
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- NII書誌ID
- AA10823693
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- ISSN
- 09152350
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- 本文言語コード
- en
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- データソース種別
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- CiNii Articles