The \(\ell_{2,p}\) regularized total variation with overlapping group sparsity prior for image restoration with impulse noise
From MaRDI portal
Publication:2098805
DOI10.1007/s11075-022-01322-xOpenAlexW4283704154WikidataQ113106673 ScholiaQ113106673MaRDI QIDQ2098805
Publication date: 22 November 2022
Published in: Numerical Algorithms (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11075-022-01322-x
total variationnonconvex optimizationimage restorationimpulse noiseoverlapping group sparsityhalf-quadratic schemeproximal alternate minimization
Uses Software
Cites Work
- Unnamed Item
- Nonlinear total variation based noise removal algorithms
- Proximal alternating linearized minimization for nonconvex and nonsmooth problems
- Image restoration using total variation with overlapping group sparsity
- Augmented Lagrangian method for total variation restoration with non-quadratic fidelity
- Image inpainting using reproducing kernel Hilbert space and Heaviside functions
- The \(\ell_{2,q}\) regularized group sparse optimization: lower bound theory, recovery bound and algorithms
- A note on the dual treatment of higher-order regularization functionals
- Sparsest solutions of underdetermined linear systems via \( \ell _q\)-minimization for \(0<q\leqslant 1\)
- A dual algorithm for the solution of nonlinear variational problems via finite element approximation
- Some convergence properties of a method of multipliers for linearly constrained monotone variational inequalities
- Image recovery via total variation minimization and related problems
- Speckle noise removal in ultrasound images by first- and second-order total variation
- A decoupled method for image inpainting with patch-based low rank regulariztion
- Tensor completion using total variation and low-rank matrix factorization
- Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward-backward splitting, and regularized Gauss-Seidel methods
- Total variation with overlapping group sparsity for deblurring images under Cauchy noise
- A nonconvex \(l_1 (l_1-l_2)\) model for image restoration with impulse noise
- Efficient nonsmooth nonconvex optimization for image restoration and segmentation
- Iterative image restoration combining total variation minimization and a second-order functional
- Improved Iteratively Reweighted Least Squares for Unconstrained Smoothed $\ell_q$ Minimization
- Constrained Total Variation Deblurring Models and Fast Algorithms Based on Alternating Direction Method of Multipliers
- A Block Coordinate Descent Method for Regularized Multiconvex Optimization with Applications to Nonnegative Tensor Factorization and Completion
- Solving Constrained Total-variation Image Restoration and Reconstruction Problems via Alternating Direction Methods
- A New Alternating Minimization Algorithm for Total Variation Image Reconstruction
- Noise removal using fourth-order partial differential equation with applications to medical magnetic resonance images in space and time
- Split Bregman Methods and Frame Based Image Restoration
- Cahn–Hilliard Inpainting and a Generalization for Grayvalue Images
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- Digital filters as absolute norm regularizers
- Noise adaptive soft-switching median filter
- High-Order Total Variation-Based Image Restoration
- Group-Sparse Signal Denoising: Non-Convex Regularization, Convex Optimization
- Nonconvex Nonsmooth Low Rank Minimization via Iteratively Reweighted Nuclear Norm
- Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
- Non-Lipschitz Models for Image Restoration with Impulse Noise Removal
- Image Super-Resolution Via Sparse Representation
- Fast Nonconvex Nonsmooth Minimization Methods for Image Restoration and Reconstruction
- Efficient Reconstruction of Piecewise Constant Images Using Nonsmooth Nonconvex Minimization
This page was built for publication: The \(\ell_{2,p}\) regularized total variation with overlapping group sparsity prior for image restoration with impulse noise
