Estimation of the parameters of a weighted nuclear norm model and its application in image denoising
type: Item
instance of: scholarly article
title: Estimation of the parameters of a weighted nuclear norm model and its application in image denoising
zbMATH Open document ID: 1462.94005
author: Hongyao Deng
author: Jinsong Tao
author: Xiuli Song
author: Chunyuan Zhang
published in: Information Sciences
publication date: 2021-05-03T00:00:00Z
Mathematics Subject Classification ID: 94A08
zbMATH DE Number: 7341957
zbMATH Keywords: weighted nuclear norm
zbMATH Keywords: optimization
zbMATH Keywords: image denoising
zbMATH Keywords: parameter estimation
MaRDI profile type: Publication
full work available at URL: j.ins.2020.04.028
OpenAlex ID: W3016633288
cites work: Generalized low rank approximations of matrices
cites work: The Power of Convex Relaxation: Near-Optimal Matrix Completion
cites work: Robust principal component analysis?
cites work: Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
cites work: A Singular Value Thresholding Algorithm for Matrix Completion
cites work: Linearized alternating direction method with parallel splitting and adaptive penalty for separable convex programs in machine learning
cites work: Weighted nuclear norm minimization and its applications to low level vision
cites work: Robust PCA Based on Incoherence With Geometrical Interpretation
cites work: Optimizing shrinkage curves and application in image denoising
cites work: Affine matrix rank minimization problem via non-convex fraction function penalty
cites work: Reweighted Low-Rank Matrix Analysis With Structural Smoothness for Image Denoising
cites work: Linearized alternating direction method with adaptive penalty and warm starts for fast solving transform invariant low-rank textures
cites work: Matrix factorization for low-rank tensor completion using framelet prior
cites work: Sparse Approximate Solutions to Semidefinite Programs
cites work: Recovering Sparse Signals With a Certain Family of Nonconvex Penalties and DC Programming
cites work: A Review of Image Denoising Algorithms, with a New One
DOI: 10.1016/J.INS.2020.04.028
Recommended article: Choice of parameters in the weighted nuclear norm method for image denoising
Recommended article: Image denoising using sparse representation and weighted nuclear norm minimization
Recommended article: Weighted nuclear norm minimization-based regularization method for image restoration
Recommended article: An iterative decoupled method with weighted nuclear norm minimization for image restoration
Recommended article: Weighted nuclear norm minimization and its applications to low level vision
Recommended article: Cauchy noise removal by weighted nuclear norm minimization
Recommended article: Rician noise removal via weighted nuclear norm penalization
Recommended article: Multi-band weighted \(l_p\) norm minimization for image denoising
Recommended article: Convergence of Proximal Iteratively Reweighted Nuclear Norm Algorithm for Image Processing
Recommended article: Weighted \(l_p\) norm sparse error constraint based ADMM for image denoising
description: scientific article; zbMATH DE number 7341957