Weighted nuclear norm minimization-based regularization method for image restoration
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Publication:2077778
DOI10.1007/s42967-020-00076-4zbMath1499.68375OpenAlexW3082241921WikidataQ113105251 ScholiaQ113105251MaRDI QIDQ2077778
Publication date: 22 February 2022
Published in: Communications on Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s42967-020-00076-4
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Cites Work
- Unnamed Item
- Nonlinear total variation based noise removal algorithms
- Fixed point and Bregman iterative methods for matrix rank minimization
- Image recovery via total variation minimization and related problems
- An algorithm for total variation minimization and applications
- A new similarity measure for nonlocal filtering in the presence of multiplicative noise
- A first-order primal-dual algorithm for convex problems with applications to imaging
- Weighted nuclear norm minimization and its applications to low level vision
- Low rank prior and total variation regularization for image deblurring
- Solving Constrained Total-variation Image Restoration and Reconstruction Problems via Alternating Direction Methods
- A New Alternating Minimization Algorithm for Total Variation Image Reconstruction
- A Fast Algorithm for Edge-Preserving Variational Multichannel Image Restoration
- Split Bregman Methods and Frame Based Image Restoration
- An Efficient TVL1 Algorithm for Deblurring Multichannel Images Corrupted by Impulsive Noise
- Learning Multiscale Sparse Representations for Image and Video Restoration
- Compressive Sensing via Nonlocal Low-Rank Regularization
- Weighted Schatten <inline-formula> <tex-math notation="LaTeX">$p$ </tex-math> </inline-formula>-Norm Minimization for Image Denoising and Background Subtraction
- Structure-Based Low-Rank Model With Graph Nuclear Norm Regularization for Noise Removal
- Solving monotone inclusions via compositions of nonexpansive averaged operators
- A Fast Algorithm for Deblurring Models with Neumann Boundary Conditions
- Handbook of Mathematical Models in Computer Vision
- Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems
- Fast Image Recovery Using Variable Splitting and Constrained Optimization
- Nonlocally Centralized Sparse Representation for Image Restoration
- A Review of Image Denoising Algorithms, with a New One
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