scientific article; zbMATH DE number 7808685
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Publication:6198995
DOI10.3770/j.issn:2095-2651.2024.01.010MaRDI QIDQ6198995
Publication date: 23 February 2024
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ill-posedness and regularization problems in numerical linear algebra (65F22) Nonconvex programming, global optimization (90C26) Numerical optimization and variational techniques (65K10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
Cites Work
- Augmented Lagrangian method for total variation restoration with non-quadratic fidelity
- A variational approach to remove outliers and impulse noise
- A first-order primal-dual algorithm for convex problems with applications to imaging
- Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward-backward splitting, and regularized Gauss-Seidel methods
- Preconditioned Douglas-Rachford type primal-dual method for solving composite monotone inclusion problems with applications
- Remove the salt and pepper noise based on the high order total variation and the nuclear norm regularization
- A nonconvex \(l_1 (l_1-l_2)\) model for image restoration with impulse noise
- An efficient non-convex total variation approach for image deblurring and denoising
- A ``nonconvex+nonconvex approach for image restoration with impulse noise removal
- Low rank prior and total variation regularization for image deblurring
- Adaptive correction procedure for TVL1 image deblurring under impulse noise
- Constrained Total Variation Deblurring Models and Fast Algorithms Based on Alternating Direction Method of Multipliers
- Convergence Analysis of Primal-Dual Algorithms for a Saddle-Point Problem: From Contraction Perspective
- Nonconvex-TV Based Image Restoration with Impulse Noise Removal
- Proximal Alternating Minimization and Projection Methods for Nonconvex Problems: An Approach Based on the Kurdyka-Łojasiewicz Inequality
- Iterative Algorithms Based on Decoupling of Deblurring and Denoising for Image Restoration
- A Fast $\ell$1-TV Algorithm for Image Restoration
- An Efficient TVL1 Algorithm for Deblurring Multichannel Images Corrupted by Impulsive Noise
- A TVSCAD approach for image deblurring with impulsive noise
- Minimizers of Cost-Functions Involving Nonsmooth Data-Fidelity Terms. Application to the Processing of Outliers
- On $\ell_1$ Data Fitting and Concave Regularization for Image Recovery
- Non-Lipschitz Models for Image Restoration with Impulse Noise Removal
- Efficient Box-Constrained TV-Type-l<sup>1</sup> Algorithms for Restoring Images with Impulse Noise
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