Truncated Nuclear Norm Minimization Based Group Sparse Representation for Image Restoration

DOI10.1137/17M1154588zbMath1419.94005OpenAlexW2883208648WikidataQ113079360 ScholiaQ113079360MaRDI QIDQ5230395

Yi Xu, Jingfei He, Tianyu Geng, Guiling Sun

Publication date: 22 August 2019

Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1137/17m1154588

zbMATH Keywords

image restorationdictionary learninggroup sparse representationtruncated nuclear norm minimization

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (3)

Image cartoon-texture decomposition by a generalized non-convex low-rank minimization method ⋮ A global exact penalty for rank-constrained optimization problem and applications ⋮ Nonconvex nonsmooth low-rank minimization for generalized image compressed sensing via group sparse representation

Uses Software

• FSIM
• BM3D
• RASL

Cites Work

• Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
• A fast patch-dictionary method for whole image recovery
• Robust principal component analysis?
• A Singular Value Thresholding Algorithm for Matrix Completion
• Robust Video Restoration by Joint Sparse and Low Rank Matrix Approximation
• Group-Based Sparse Representation for Image Restoration
• Compressive Sensing via Nonlocal Low-Rank Regularization
• Annihilating Filter-Based Low-Rank Hankel Matrix Approach for Image Inpainting
• Multi-Scale Patch-Based Image Restoration
• Fast Image Recovery Using Variable Splitting and Constrained Optimization
• Nonlocal Mumford-Shah Regularizers for Color Image Restoration
• Image Deblurring and Super-Resolution by Adaptive Sparse Domain Selection and Adaptive Regularization
• FSIM: A Feature Similarity Index for Image Quality Assessment
• BM3D Frames and Variational Image Deblurring
• Nonlocal Image Restoration With Bilateral Variance Estimation: A Low-Rank Approach
• Nonlocally Centralized Sparse Representation for Image Restoration
• Image Processing Using Smooth Ordering of its Patches

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