On the Convergence of Primal–Dual Hybrid Gradient Algorithms for Total Variation Image Restoration
- 11 January 2012
- journal article
- research article
- Published by Springer Science and Business Media LLC in Journal of Mathematical Imaging and Vision
- Vol. 44 (3), 236-253
- https://doi.org/10.1007/s10851-011-0324-9
Abstract
No abstract availableKeywords
This publication has 28 references indexed in Scilit:
- An alternating extragradient method for total variation-based image restoration from Poisson dataInverse Problems, 2011
- A First-Order Primal-Dual Algorithm for Convex Problems with Applications to ImagingJournal of Mathematical Imaging and Vision, 2011
- Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring ProblemsIEEE Transactions on Image Processing, 2009
- Some First-Order Algorithms for Total Variation Based Image RestorationJournal of Mathematical Imaging and Vision, 2009
- Total variation-penalized Poisson likelihood estimation for ill-posed problemsAdvances in Computational Mathematics, 2008
- Total Variation Minimization and a Class of Binary MRF ModelsLecture Notes in Computer Science, 2005
- An Algorithm for Total Variation Minimization and ApplicationsJournal of Mathematical Imaging and Vision, 2004
- A Nonlinear Primal-Dual Method for Total Variation-Based Image RestorationSIAM Journal on Scientific Computing, 1999
- Deterministic edge-preserving regularization in computed imagingIEEE Transactions on Image Processing, 1997
- Convergence of some algorithms for convex minimizationMathematical Programming, 1993