Fast nonstationary preconditioned iterative methods for ill-posed problems, with application to image deblurring

DOI10.1088/0266-5611/29/9/095008zbMath1285.65030OpenAlexW2077495455MaRDI QIDQ5746381

Marco Donatelli, Martin Hanke

Publication date: 18 February 2014

Published in: Inverse Problems (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/b9cdad09a448ab941025045385696259b8f984af

zbMATH Keywords

convergenceHilbert spaceiterative methodnumerical experimentill-posed problemlinear operator equationimage deblurring

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Numerical solutions to equations with linear operators (65J10) Numerical solutions of ill-posed problems in abstract spaces; regularization (65J20) Linear operators and ill-posed problems, regularization (47A52)

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