Fast Nonoverlapping Block Jacobi Method for the Dual Rudin-Osher-Fatemi Model
暂无分享,去创建一个
[1] L. Bregman. The relaxation method of finding the common point of convex sets and its application to the solution of problems in convex programming , 1967 .
[2] Marc Teboulle,et al. A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems , 2009, SIAM J. Imaging Sci..
[3] Jongho Park,et al. Domain Decomposition Methods Using Dual Conversion for the Total Variation Minimization with L1\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{ , 2018, Journal of Scientific Computing.
[4] Michael Hintermüller,et al. Non-Overlapping Domain Decomposition Methods For Dual Total Variation Based Image Denoising , 2014, Journal of Scientific Computing.
[5] Carola-Bibiane Schönlieb,et al. Bregmanized Domain Decomposition for Image Restoration , 2013, J. Sci. Comput..
[6] Patrick L. Combettes,et al. Signal Recovery by Proximal Forward-Backward Splitting , 2005, Multiscale Model. Simul..
[7] A. Chambolle,et al. A remark on accelerated block coordinate descent for computing the proximity operators of a sum of convex functions , 2015 .
[8] Marc Teboulle,et al. Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems , 2009, IEEE Transactions on Image Processing.
[9] Amir Beck,et al. On the Convergence of Block Coordinate Descent Type Methods , 2013, SIAM J. Optim..
[10] Michael Hintermüller,et al. Subspace Correction Methods for a Class of Nonsmooth and Nonadditive Convex Variational Problems with Mixed L1/L2 Data-Fidelity in Image Processing , 2013, SIAM J. Imaging Sci..
[11] Carola-Bibiane Schönlieb,et al. A convergent overlapping domain decomposition method for total variation minimization , 2009, Numerische Mathematik.
[12] Xue-Cheng Tai,et al. Augmented Lagrangian Method, Dual Methods, and Split Bregman Iteration for ROF, Vectorial TV, and High Order Models , 2010, SIAM J. Imaging Sci..
[13] Antonin Chambolle,et al. A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging , 2011, Journal of Mathematical Imaging and Vision.
[14] Jongho Park,et al. A Finite Element Approach for the Dual Rudin-Osher-Fatemi Model and Its Nonoverlapping Domain Decomposition Methods , 2018, SIAM J. Sci. Comput..
[15] Tom Goldstein,et al. The Split Bregman Method for L1-Regularized Problems , 2009, SIAM J. Imaging Sci..
[16] Carola-Bibiane Schönlieb,et al. Subspace Correction Methods for Total Variation and 1-Minimization , 2007, SIAM J. Numer. Anal..
[17] R. Tyrrell Rockafellar,et al. Convex Analysis , 1970, Princeton Landmarks in Mathematics and Physics.
[18] Andrea Toselli,et al. Domain decomposition methods : algorithms and theory , 2005 .
[19] ANTONIN CHAMBOLLE,et al. An Algorithm for Total Variation Minimization and Applications , 2004, Journal of Mathematical Imaging and Vision.
[20] Junfeng Yang,et al. A New Alternating Minimization Algorithm for Total Variation Image Reconstruction , 2008, SIAM J. Imaging Sci..
[21] Hyenkyun Woo,et al. Block Decomposition Methods for Total Variation by Primal–Dual Stitching , 2016, J. Sci. Comput..
[22] Marc Teboulle,et al. On the rate of convergence of the proximal alternating linearized minimization algorithm for convex problems , 2016, EURO J. Comput. Optim..
[23] Chang-Ock Lee,et al. Primal Domain Decomposition Methods for the Total Variation Minimization, Based on Dual Decomposition , 2017, SIAM J. Sci. Comput..
[24] Danping Yang,et al. Convergence Rate of Overlapping Domain Decomposition Methods for the Rudin-Osher-Fatemi Model Based on a Dual Formulation , 2015, SIAM J. Imaging Sci..
[25] Barry Smith,et al. Domain Decomposition Methods for Partial Differential Equations , 1997 .
[26] L. Rudin,et al. Nonlinear total variation based noise removal algorithms , 1992 .
[27] P. Tseng. Convergence of a Block Coordinate Descent Method for Nondifferentiable Minimization , 2001 .