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Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images

S. Geman, D. Geman

1984.11.1IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

DOI: 10.1109/tpami.1984.4767596

tlooto Summary

The analogy between images and statistical mechanics systems is made and the analogous operation under the posterior distribution yields the maximum a posteriori (MAP) estimate of the image given the degraded observations, creating a highly parallel ``relaxation'' algorithm for MAP estimation.

Abstract

Abstract is not available.

Citation format

GEMAN, S.; GEMAN, D. Stochastic relaxation, gibbs distributions, and the bayesian restoration of images. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1984, PAMI-6: 721–741.