First-order phase transit ion and bayesian image processing by loopy belief propagation

Kazuyuki Tanaka, D. M. Titterington

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

The framework is presented of Bayesian image restoration for multi-valued images based on the Q-state Potts model. Hyperparameters in the probabilistic model are determined so as to maximize the marginal likelihood. A practical algorithm is described for multi-valued image restoration based on loopy belief propagation. We conclude that the maximization of marginal likelihood can provide good results even if the a priori probabilistic model exhibits first-order phase transition.

Original languageEnglish
Pages (from-to)288-291
Number of pages4
JournalProgress of Theoretical Physics Supplement
Volume157
DOIs
Publication statusPublished - 2005 Jan 1

ASJC Scopus subject areas

  • Physics and Astronomy (miscellaneous)

Fingerprint Dive into the research topics of 'First-order phase transit ion and bayesian image processing by loopy belief propagation'. Together they form a unique fingerprint.

  • Cite this