BAYESIAN IMAGE RESTORATION VIA VARYING NEIGHBORHOOD STRUCTURE

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概要

• 論文の詳細を見る

• 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.

• 日本計算機統計学会の論文

著者

• Kamakura Toshinari

  Department Of Industrial And Systems Engineering Chuo University

• Nittono Ken

  Graduate School of Science and Engineering, Chuo University

• Nittono Ken

  Graduate School Of Science And Engineering Chuo University

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• BAYESIAN IMAGE RESTORATION VIA VARYING NEIGHBORHOOD STRUCTURE
• An Efficient Bayesian Estimation of Ordered Parameters of Two Exponential Distributions

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