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The application of the Gibbs-Bogoliubov-Feynman inequality in mean field calculations for Markov random fields

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1 Author(s)
Jun Zhang ; Dept. of Electr. Eng. & Comput. Sci., Wisconsin Univ., Milwaukee, WI, USA

The Gibbs-Bogoliubov-Feynman (GBF) inequality of statistical mechanics is adopted, with an information-theoretic interpretation, as a general optimization framework for deriving and examining various mean field approximations for Markov random fields (MRF's). The efficacy of this approach is demonstrated through the compound Gauss-Markov (CGM) model, comparisons between different mean field approximations, and experimental results in image restoration

Published in:

Image Processing, IEEE Transactions on  (Volume:5 ,  Issue: 7 )

Date of Publication:

Jul 1996

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