Variational Bayesian Sparse Kernel-Based Blind Image Deconvolution With Student's-t Priors

Abstract

In this paper, we present a new Bayesian model for the blind image deconvolution (BID) problem. The main novelty of this model is the use of a sparse kernel-based model for the point spread function (PSF) that allows estimation of both PSF shape and support. In the herein proposed approach, a robust model of the BID errors and an image prior that preserves… (More)
DOI: 10.1109/TIP.2008.2011757

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@article{Tzikas2009VariationalBS, title={Variational Bayesian Sparse Kernel-Based Blind Image Deconvolution With Student's-t Priors}, author={Dimitris Tzikas and Aristidis Likas and Nikolas P. Galatsanos}, journal={IEEE Transactions on Image Processing}, year={2009}, volume={18}, pages={753-764} }