Weighted Nuclear Norm Minimization with Application to Image Denoising
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- Type
- article
- Published
- 2014-06-23
- Cited by
- 2,149
- References
- 31
- Access
- Open access
- OpenAlex
- https://openalex.org/W2048695508
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:1663191
Keywords
Matrix norm, Singular value, Weighting, Singular value decomposition, Minification
References
- Robust Subspace Segmentation by Low-Rank Representation
- A Framework for Robust Subspace Learning
- A rank minimization heuristic with application to minimum order system approximation
- Accelerated low-rank visual recovery by random projection
- Fixed-rank representation for unsupervised visual learning
- Matrix completion by Truncated Nuclear Norm Regularization
- Nonlocal Image Restoration With Bilateral Variance Estimation: A Low-Rank Approach
- Natural image denoising: Optimality and inherent bounds
- Matrix Completion With Noise
- Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering
- Practical low-rank matrix approximation under robust L1-norm
- A non-local algorithm for image denoising
- Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation
- Robust L/sub 1/ norm factorization in the presence of outliers and missing data by alternative convex programming
- A Singular Value Thresholding Algorithm for Matrix Completion
- Robust video denoising using low rank matrix completion
- The phase transition of matrix recovery from Gaussian measurements matches the minimax MSE of matrix denoising
- Efficient computation of robust low-rank matrix approximations in the presence of missing data using the L1 norm
- Exact Matrix Completion via Convex Optimization
- Damped Newton algorithms for matrix factorization with missing data
Cited by
- Bayesian Inference for Neighborhood Filters With Application in Denoising
- CONCOLOR: Constrained Non-Convex Low-Rank Model for Image Deblocking
- Optshrink LR + S: accelerated fMRI reconstruction using non-convex optimal singular value shrinkage
- Learnability Enhancement for Low-Light Raw Image Denoising: A Data Perspective
- Nonlocal image denoising via adaptive tensor nuclear norm minimization
- Image Denoising Using Low Rank Minimization With Modified Noise Estimation
- On the Optimal Solution of Weighted Nuclear Norm Minimization
- Weighted Nuclear Norm Minimization Based Tongue Specular Reflection Removal
- Image denoising based on improved data-driven sparse representation
- Weighted Schatten p-Norm Minimization for Image Denoising with Local and Nonlocal Regularization
- Generalized Tensor Total Variation minimization for visual data recovery?
- Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration
- On learning optimized reaction diffusion processes for effective image restoration
- Image denoising via adaptive soft-thresholding based on non-local samples
- Sparse error via reweighted Low Rank Representation for face recognition with various illumination and occlusion
- Patch-Based Low-Rank Minimization for Image Denoising
- Fast randomized Singular Value Thresholding for Nuclear Norm Minimization
- Compressive Sensing via Nonlocal Low-Rank Regularization
- Image denoising via local and nonlocal circulant similarity
- Low-Rank Modeling and Its Applications in Image Analysis
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