This paper investigates the use of cascadic multiresolution methods for image deblurring. Iterations with a conjugate gradient-type method are carried out on each level, and terminated by a stopping rule based on the discrepancy principle. Prolongation is carried out by nonlinear edge-preserving operators, which are defined via PDEs associated with Perona–Malik or total variation-type models. Computed examples demonstrate the effectiveness of the methods proposed.

Cascadic Multiresolution Methods for Image Deblurring

MORIGI, SERENA;SGALLARI, FIORELLA;
2008

Abstract

This paper investigates the use of cascadic multiresolution methods for image deblurring. Iterations with a conjugate gradient-type method are carried out on each level, and terminated by a stopping rule based on the discrepancy principle. Prolongation is carried out by nonlinear edge-preserving operators, which are defined via PDEs associated with Perona–Malik or total variation-type models. Computed examples demonstrate the effectiveness of the methods proposed.
2008
S.Morigi; L.Reichel;F.Sgallari;A.Shyshkov
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/64936
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