An accelerated tensorial double proximal gradient method for total variation regularization problem
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Publication:6108976
DOI10.1007/s10957-023-02234-zOpenAlexW4379792052MaRDI QIDQ6108976
Oumaima Benchettou, Abderrahman Bouhamidi, Abdeslem Hafid Bentbib
Publication date: 26 July 2023
Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10957-023-02234-z
proximal gradient methodpolynomial extrapolationT-producttensorial total variation regularizationvideo completion and inpainting
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Cites Work
- Unnamed Item
- Tensor Decompositions and Applications
- Nonlinear total variation based noise removal algorithms
- A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
- Block extrapolation methods with applications
- Gradient methods for minimizing composite functions
- Factorization strategies for third-order tensors
- An extrapolated TSVD method for linear discrete ill-posed problems with Kronecker structure
- Fixed-point algorithms for inverse problems in science and engineering. Based on the presentations at the interdisciplinary workshop, BIRS, Banff, Canada, November 1--6, 2009.
- Fundamental tensor operations for large-scale data analysis using tensor network formats
- Geometrical inverse matrix approximation for least-squares problems and acceleration strategies
- Vector extrapolation enhanced TSVD for linear discrete ill-posed problems
- Lectures on numerical methods for non-linear variational problems
- Efficient implementation of minimal polynomial and reduced rank extrapolation methods
- Vector extrapolation methods. Applications and numerical comparison
- Conditional gradient method for double-convex fractional programming matrix problems
- Stability in a class of variational methods
- Proximal Splitting Methods in Signal Processing
- Tensor completion and low-n-rank tensor recovery via convex optimization
- Noise removal using fourth-order partial differential equation with applications to medical magnetic resonance images in space and time
- Exact Tensor Completion Using t-SVD
- Smooth PARAFAC Decomposition for Tensor Completion
- The Power of Convex Relaxation: Near-Optimal Matrix Completion
- Signal Recovery by Proximal Forward-Backward Splitting
- Proximité et dualité dans un espace hilbertien
- Convex analysis and monotone operator theory in Hilbert spaces
- An acceleration scheme for Dykstra's algorithm
- Auto-weighted robust low-rank tensor completion via tensor-train
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