Probabilistic, Iterated and Quantum-Iterated Computational Methods in Gray-Level Image Restoration
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概要
- 論文の詳細を見る
For image restoration as an energy minimization problem, an energy function is expressed by using a hamiltonian of a classical spin system only with finite range interactions. The problem is formulated in terms of a probabilistic model with a Gibbs distribution and hence may be regarded as a Markov random field model. We compare the results obtained by proposed methods with those obtained by the probabilistic computational algorithms for restoration of natural images within a framework of the mean-field approximation or the pair approximation. We clarify a role of Nishimori-Wong’s inequality in the Markov random field model as for the practical algorithms to the image restoration of natural images through some numerical experiments.
- 東北大学の論文
著者
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Tanaka Kazuyuki
Department Of Applied Information Sciences Graduate School Of Information Sciences Tohoku University
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Horiguchi Tsuyoshi
Department Of Applied Science Faculty Of Engineering Tohoku University
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Horiguchi Tsuyoshi
Department Of Computer And Mathematical Sciences Graduate School Of Information Sciences Tohoku Univ
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