Nonlinear multigrid methods for total variation image denoising
type: Item
instance of: scholarly article
title: Nonlinear multigrid methods for total variation image denoising
zbMATH Open document ID: 1071.65093
author: Claudia Frohn-Schauf
author: Stefan Henn
author: Kristian Witsch
published in: Computing and Visualization in Science
publication date: 2005-06-14T00:00:00Z
Mathematics Subject Classification ID: 65K10
Mathematics Subject Classification ID: 49J20
Mathematics Subject Classification ID: 49M27
Mathematics Subject Classification ID: 94A08
zbMATH DE Number: 2175876
zbMATH Keywords: numerical examples
zbMATH Keywords: image reconstruction
zbMATH Keywords: image denoising
zbMATH Keywords: nonlinear multigrid scheme
zbMATH Keywords: Euler-Lagrange equation
zbMATH Keywords: total variation regularization
MaRDI profile type: Publication
full work available at URL: s00791-004-0150-3
OpenAlex ID: W2061565858
cites work: Analysis of bounded variation penalty methods for ill-posed problems
cites work: Q3760936
cites work: Q3703469
cites work: Image recovery via total variation minimization and related problems
cites work: Q4890505
cites work: New methods of controlled total variation reduction for digital functions
cites work: Q4895893
cites work: Q4023463
cites work: Nonstationary iterated Tikhonov regularization
cites work: Iterative multigrid regularization techniques for image matching
cites work: Nonlinear total variation based noise removal algorithms
cites work: Relations between regularization and diffusion filtering
cites work: Q3675465
cites work: Computational Methods for Inverse Problems
cites work: Iterative Methods for Total Variation Denoising
DOI: 10.1007/S00791-004-0150-3
description: scientific article; zbMATH DE number 2175876