A conditional gradient method for primal-dual total variation-based image denoising

DOI10.1553/etna_vol48s310zbMath1398.65043OpenAlexW2889253769MaRDI QIDQ1670242

Karim Kreit, Abdeslem Hafid Bentbib, Abderrahman Bouhamadi

Publication date: 5 September 2018

Published in: ETNA. Electronic Transactions on Numerical Analysis (Search for Journal in Brave)

Full work available at URL: http://etna.mcs.kent.edu/volumes/2011-2020/vol48/abstract.php?vol=48&pages=310-328

zbMATH Keywords

total variationregularizationconvex programmingill-posed problemimage denoisingimage restorationconditional gradient

Mathematics Subject Classification ID

Iterative numerical methods for linear systems (65F10) Numerical methods for ill-posed problems for integral equations (65R30)

Related Items (2)

Comparison of a-posteriori parameter choice rules for linear discrete ill-posed problems ⋮ Tensorial conditional gradient method for solving multidimensional ill-posed problems

Cites Work

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• Nonlinear total variation based noise removal algorithms
• Duality-based algorithms for total-variation-regularized image restoration
• Some first-order algorithms for total variation based image restoration
• Duality methods for solving variational inequalities
• An algorithm for total variation minimization and applications
• Tikhonov regularization and the L-curve for large discrete ill-posed problems
• Tikhonov regularization with nonnegativity constraint
• A first-order primal-dual algorithm for convex problems with applications to imaging
• Conditional gradient Tikhonov method for a convex optimization problem in image restoration
• A modified spectral conjugate gradient projection algorithm for total variation image restoration
• Sylvester Tikhonov-regularization methods in image restoration
• A General Framework for a Class of First Order Primal-Dual Algorithms for Convex Optimization in Imaging Science
• The Split Bregman Method for L1-Regularized Problems
• Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter
• Analysis of Discrete Ill-Posed Problems by Means of the L-Curve
• A Nonlinear Primal-Dual Method for Total Variation-Based Image Restoration
• An Iterative Regularization Method for Total Variation-Based Image Restoration

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