A general multichannel image restoration method using compound models

Rafael Molina, Javier Mateos, Aggelos K. Katsaggelos, Miguel Vega

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

In this paper we present a multichannel image restoration method using Compound Gauss Markov Random Field (CGMRF) models. Information regarding the objects present in the scene is shared via the line process in the CGMRF. Two new iterative algorithms to estimate the underlying multichannel image are presented, which can be considered as extensions of the classical simulated annealing and ICM methods. Experimental results demonstrate the effectiveness of the proposed approach.

Original languageEnglish (US)
Pages (from-to)835-838
Number of pages4
JournalProceedings - International Conference on Pattern Recognition
Volume16
Issue number3
DOIs
StatePublished - 2002

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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