Estimation of the parameters of a weighted nuclear norm model and its application in image denoising

DOI10.1016/j.ins.2020.04.028zbMath1462.94005OpenAlexW3016633288MaRDI QIDQ2023235

Jinsong Tao, Chunyuan Zhang, Xiuli Song, Hongyao Deng

Publication date: 3 May 2021

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2020.04.028

zbMATH Keywords

optimizationparameter estimationimage denoisingweighted nuclear norm

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (4)

Adversarially learned one-class novelty detection with confidence estimation ⋮ Accelerating patch-based low-rank image restoration using kd-forest and Lanczos approximation ⋮ Low-rank with sparsity constraints for image denoising ⋮ HTR-CTO algorithm for wireless data recovery

Cites Work

• Linearized alternating direction method with adaptive penalty and warm starts for fast solving transform invariant low-rank textures
• Affine matrix rank minimization problem via non-convex fraction function penalty
• Optimizing shrinkage curves and application in image denoising
• Weighted nuclear norm minimization and its applications to low level vision
• Matrix factorization for low-rank tensor completion using framelet prior
• Linearized alternating direction method with parallel splitting and adaptive penalty for separable convex programs in machine learning
• Robust principal component analysis?
• A Singular Value Thresholding Algorithm for Matrix Completion
• Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
• Recovering Sparse Signals With a Certain Family of Nonconvex Penalties and DC Programming
• Reweighted Low-Rank Matrix Analysis With Structural Smoothness for Image Denoising
• Robust PCA Based on Incoherence With Geometrical Interpretation
• The Power of Convex Relaxation: Near-Optimal Matrix Completion
• Sparse Approximate Solutions to Semidefinite Programs
• A Review of Image Denoising Algorithms, with a New One
• Generalized low rank approximations of matrices

This page was built for publication: Estimation of the parameters of a weighted nuclear norm model and its application in image denoising