2007 IEEE International Conference on Image Processing - San Antonio, Texas, U.S.A. - September 16-19, 2007

Technical Program

Paper Detail

Paper:MA-L4.7
Session:Image and Video Restoration
Time:Monday, September 17, 12:10 - 12:30
Presentation: Lecture
Title: FROM GLOBAL TO LOCAL BAYESIAN PARAMETER ESTIMATION IN IMAGE RESTORATION USING VARIATIONAL DISTRIBUTION APPROXIMATIONS
Authors: Rafael Molina; University of Granada 
 Miguel Vega; University of Granada 
 Aggelos Katsaggelos; Northwestern University 
Abstract: In this paper we present a new Bayesian methodology for the restoration of blurred and noisy images. Bayesian methods rely on image priors that encapsulate prior image knowledge and avoid the ill-posedness of the image restoration problems. Some of these priors depend on global variance parameters, unable to account for local characteristics. Here we first use variational methods to approximate probability posterior distributions for the global model to later use those distributions to define local and more realistic image models which lead to better restored images as it is shown in the experimental section.



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