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Deterministic parallel computation of Bayesian deblurring using cluster approximations

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2 Author(s)
Chi-Hsin Wu ; Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA ; Doerschuk, P.C.

A family of approximations to Bayesian estimators based on Markov random fields models of images and mean squared error reconstruction criteria is described. The computation of the estimator requires the solution of a multivariable fixed point problem for which existence, uniqueness, and convergent algorithm results are stated. These algorithms preserve the structure of the grey levels. Two simple examples are given which show excellent performance

Published in:

Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on

Date of Conference:

3-6 May 1993