Statistical-Mechanical Approach to Probabilistic Image Processing
نویسندگان
چکیده
The framework is presented of Bayesian image restoration for multi-valued images by means of the multi-state classical spin systems. Hyperparameters in the probabilistic models are determined so as to maximize the marginal likelihood. A practical algorithm is described for multi-valued image restoration based on loopy belief propagations in probabilistic inference. Loopy belief propagations are equivalent to the Bethe approximation and the pair approximation of cluster variation method in statistical mechanics.
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