Preconditioning regularized least squares problems arising from high-resolution image reconstruction from low-resolution frames
type: Item
instance of: scholarly article
title: Preconditioning regularized least squares problems arising from high-resolution image reconstruction from low-resolution frames
zbMATH Open document ID: 1061.65032
author: Fu-Rong Lin
author: Wai-Ki Ching
author: Michael Ng
published in: Linear Algebra and its Applications
publication date: 2004-11-23T00:00:00Z
Mathematics Subject Classification ID: 65F20
Mathematics Subject Classification ID: 94A12
Mathematics Subject Classification ID: 65F22
zbMATH DE Number: 2117839
zbMATH Keywords: High-resolution image reconstruction
zbMATH Keywords: Regularization
zbMATH Keywords: Cosine transform preconditioner
zbMATH Keywords: Incomplete Cholesky factorization preconditioner
zbMATH Keywords: comparison of methods
zbMATH Keywords: conjugate gradient methods
zbMATH Keywords: numerical examples
MaRDI profile type: Publication
full work available at URL: j.laa.2004.01.013
OpenAlex ID: W2023776611
cites work: Conjugate Gradient Methods for Toeplitz Systems
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cites work: Q4192890
cites work: An Incomplete Factorization Technique for Positive Definite Linear Systems
cites work: An Iterative Solution Method for Linear Systems of Which the Coefficient Matrix is a Symmetric M-Matrix
cites work: Cosine transform preconditioners for high resolution image reconstruction
cites work: A New Modified Cholesky Factorization
cites work: Q4845534
DOI: 10.1016/J.LAA.2004.01.013
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description: scientific article; zbMATH DE number 2117839