A new nonstationary preconditioned iterative method for linear discrete ill‐posed problems with application to image deblurring

DOI10.1002/nla.2353OpenAlexW3109081924MaRDI QIDQ5858536

Marco Donatelli, Alessandro Buccini, Lothar Reichel, Wei-Hong Zhang

Publication date: 13 April 2021

Published in: Numerical Linear Algebra with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/nla.2353

zbMATH Keywords

spectral equivalenceiterated Tikhonov methoddiscrete ill-posed inverse problems

Mathematics Subject Classification ID

Ill-posedness and regularization problems in numerical linear algebra (65F22) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Preconditioners for iterative methods (65F08)

Related Items (2)

An Arnoldi-based preconditioner for iterated Tikhonov regularization ⋮ Theoretical and numerical aspects of a non-stationary preconditioned iterative method for linear discrete ill-posed problems

This page was built for publication: A new nonstationary preconditioned iterative method for linear discrete ill‐posed problems with application to image deblurring