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Noise-reducing cascadic multilevel methods for linear discrete ill-posed problems

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Noise-reducing cascadic multilevel methods for linear discrete ill-posed problems
Cascadic multilevel methods for the solution of linear discrete ill-posed problems with noise-reducing restriction and prolongation operators recently have been developed for the restoration of blur- and noise-contaminated images. This is a particular ill-posed problem. The multilevel methods were found to determine accurate restorations with fairly little computational work. This paper describes noise-reducing multilevel methods for the solution of general linear discrete ill-posed problems. Key words. ill-posed problem, multilevel method, noise-reduction
Serena Morigi, Lothar Reichel, Fiorella Sgallari
Added 29 Jan 2011
Updated 29 Jan 2011
Type Journal
Year 2010
Where NA
Authors Serena Morigi, Lothar Reichel, Fiorella Sgallari
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