Statistical performance analysis by loopy belief propagation in Bayesian image modeling

Kazuyuki Tanaka, Shun Kataoka, Muneki Yasuda

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

The mathematical structures of loopy belief propagation are reviewed for Bayesian image modeling from the standpoint of statistical mechanical informatics. We propose some schemes for evaluating the statistical performance of probabilistic binary image restoration. The schemes are constructed by means of the LBP, which is known as the Bethe approximation in statistical mechanics. We show some results of numerical experiments obtained by using the LBP algorithm as well as the statistical performance analysis for the probabilistic image restorations.

Original languageEnglish
Article number012013
JournalJournal of Physics: Conference Series
Volume233
DOIs
Publication statusPublished - 2010

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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