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A Kullback-Leibler divergence approach to blind image restoration

Seghouane, Abd-Krim


A new algorithm for wavelet-based blind image restoration is presented in this paper. It is obtained by defining an intermediate variable to characterize the original image. Both the original image and the additive noise are modeled by multivariate Gaussian process. The blurring process is specified by its point spread function, which is unknown. The original image and the blur are estimated by alternating minimization of the KullbackLeibler divergence between a model family of probability...[Show more]

CollectionsANU Research Publications
Date published: 2011
Type: Journal article
Source: IEEE Transactions on Image Processing
DOI: 10.1109/MLSP.2012.6349757


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