Alternating Krylov subspace image restoration methods

Abstract

Alternating methods for image deblurring and denoising have recently received considerable attention. The simplest of these methods are two-way methods that restore contaminated images by alternating between deblurring and denoising. This paper describes Krylov subspace-based two-way alternating iterative methods that allow the application of regularization… (More)
DOI: 10.1016/j.cam.2011.09.030

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Cite this paper

@article{Abad2012AlternatingKS, title={Alternating Krylov subspace image restoration methods}, author={J. O. Abad and Serena Morigi and Lothar Reichel and Fiorella Sgallari}, journal={J. Computational Applied Mathematics}, year={2012}, volume={236}, pages={2049-2062} }