An augmented Lagrangian algorithm for total bounded variation regularization based image deblurring
type: Item
instance of: scholarly article
title: An augmented Lagrangian algorithm for total bounded variation regularization based image deblurring
zbMATH Open document ID: 1290.94010
author: Yi Xu
author: Ting-Zhu Huang
author: Jun Liu
author: Xiao-Guang Lv
published in: Journal of the Franklin Institute
publication date: 2014-06-25T00:00:00Z
Mathematics Subject Classification ID: 94A08
Mathematics Subject Classification ID: 68U10
zbMATH DE Number: 6308495
zbMATH Keywords: image processing
zbMATH Keywords: image deblurring
zbMATH Keywords: projected gradient algorithm
zbMATH Keywords: total bounded variation regularization
describes a project that uses: RecPF
MaRDI profile type: Publication
full work available at URL: j.jfranklin.2014.02.009
OpenAlex ID: W1982235579
cites work: Computational Methods for Inverse Problems
cites work: Q3843144
cites work: Q4125663
cites work: Nonlinear total variation based noise removal algorithms
cites work: Analysis of bounded variation penalty methods for ill-posed problems
cites work: Image recovery via total variation minimization and related problems
cites work: On the Convergence of the Lagged Diffusivity Fixed Point Method in Total Variation Image Restoration
cites work: Iterative Methods for Total Variation Denoising
cites work: Decoding by Linear Programming
cites work: Compressed sensing
cites work: Algorithms for Finding Global Minimizers of Image Segmentation and Denoising Models
cites work: Regularization of linear least squares problems by total bounded variation
cites work: Split Bregman iteration algorithm for total bounded variation regularization based image deblurring
cites work: Q3690580
cites work: An active set strategy based on the augmented Lagrangian formulation for image restoration
cites work: Augmented Lagrangian methods for nonsmooth, convex optimization in Hilbert spaces
cites work: Q3679786
cites work: An Iterative Regularization Method for Total Variation-Based Image Restoration
cites work: A New Alternating Minimization Algorithm for Total Variation Image Reconstruction
cites work: Bregman Iterative Algorithms for $\ell_1$-Minimization with Applications to Compressed Sensing
cites work: An algorithm for total variation minimization and applications
cites work: A dual algorithm for minimization of the LLT model
cites work: A Nonlinear Primal-Dual Method for Total Variation-Based Image Restoration
cites work: Augmented Lagrangian Method, Dual Methods and Split Bregman Iteration for ROF Model
DOI: 10.1016/J.JFRANKLIN.2014.02.009
description: scientific article; zbMATH DE number 6308495