Block-based refitting in \(\ell_{12}\) sparse regularization
type: Item
instance of: scholarly article
title: Block-based refitting in \(\ell_{12}\) sparse regularization
author: Charles-Alban Deledalle
author: Nicolas Papadakis
author: Joseph Salmon
author: Samuel Vaiter
published in: Journal of Mathematical Imaging and Vision
publication date: 2021-06-14T00:00:00Z
full work available at URL: https://arxiv.org/abs/1910.11186
Mathematics Subject Classification ID: 68-XX
Mathematics Subject Classification ID: 94-XX
zbMATH DE Number: 7358836
zbMATH Keywords: block sparsity
zbMATH Keywords: total variation
zbMATH Keywords: bias correction
zbMATH Keywords: refitting
MaRDI profile type: Publication
OpenAlex ID: W3129800025
cites work: Optimization with sparsity-inducing penalties
cites work: Least squares after model selection in high-dimensional sparse models
cites work: On Representer Theorems and Convex Regularization
cites work: Sparsity of solutions for variational inverse problems with finite-dimensional data
cites work: Total Generalized Variation
cites work: Bias reduction in variational regularization
cites work: Boosting With theL2Loss
cites work: Spectral Decompositions Using One-Homogeneous Functionals
cites work: Convergence rates and structure of solutions of inverse problems with imperfect forward models
cites work: Q3078296
cites work: A first-order primal-dual algorithm for convex problems with applications to imaging
cites work: Crouzeix-Raviart approximation of the total variation on simplicial meshes
cites work: High-Order Total Variation-Based Image Restoration
cites work: On Lasso refitting strategies
cites work: Discrete Total Variation: New Definition and Minimization
cites work: On Debiasing Restoration Algorithms: Applications to Total-Variation and Nonlocal-Means
cites work: CLEAR: Covariant LEAst-Square Refitting with Applications to Image Restoration
cites work: Recovery of Blocky Images from Noisy and Blurred Data
cites work: On the Numerical Solution of Heat Conduction Problems in Two and Three Space Variables
cites work: Least angle regression. (With discussion)
cites work: Analysis versus synthesis in signal priors
cites work: Decomposition of images by the anisotropic Rudin-Osher-Fatemi model
cites work: A Total Variation Spectral Framework for Scale and Texture Analysis
cites work: Directional total generalized variation regularization
cites work: Component selection and smoothing in multivariate nonparametric regression
cites work: Splitting Algorithms for the Sum of Two Nonlinear Operators
cites work: Image restoration using total variation with overlapping group sparsity
cites work: The cosparse analysis model and algorithms
cites work: An Iterative Regularization Method for Total Variation-Based Image Restoration
cites work: Exponential screening and optimal rates of sparse estimation
cites work: Boosting of Image Denoising Algorithms
cites work: Nonlinear total variation based noise removal algorithms
cites work: Q4551328
cites work: Edge-preserving and scale-dependent properties of total variation regularization
cites work: A Multiscale Image Representation Using Hierarchical (BV,L2) Decompositions
cites work: How to SAIF-ly Boost Denoising Performance
cites work: Q4864293
cites work: Q4197160
cites work: The degrees of freedom of partly smooth regularizers
cites work: Local behavior of sparse analysis regularization: applications to risk estimation
cites work: Robust Sparse Analysis Regularization
cites work: Model Consistency of Partly Smooth Regularizers
cites work: Contrast invariant SNR and isotonic regressions
cites work: Audio Denoising by Time-Frequency Block Thresholding
cites work: Model Selection and Estimation in Regression with Grouped Variables
DOI: 10.1007/S10851-020-00993-2
Recommended article: Block-Sparse Recovery via Convex Optimization
Recommended article: Block sparse recovery via mixed \(l_2/l_1\) minimization
Recommended article: Q5488701
Recommended article: On Sparse Block Factorization Iterative Methods
Recommended article: Block-sparse recovery and rank minimization using a weighted \(l_p-l_q\) model
Recommended article: Weighted lp − l1 minimization methods for block sparse recovery and rank minimization
Recommended article: Q4720672
Recommended article: Block-Iterative Algorithms with Underrelaxed Bregman Projections
Recommended article: $ \newcommand{\e}{{\rm e}} {\alpha\ell_{1}-\beta\ell_{2}}$ regularization for sparse recovery
Recommended article: Block-sparse compressed sensing: non-convex model and iterative re-weighted algorithm
description: scientific article; zbMATH DE number 7358836