A support-denoiser-driven framework for single image restoration
type: Item
instance of: scholarly article
title: A support-denoiser-driven framework for single image restoration
zbMATH Open document ID: 1467.65033
author: Liangtian He
author: Yilun Wang
author: Shaobing Gao
published in: Journal of Computational and Applied Mathematics
publication date: 2021-04-23T00:00:00Z
Mathematics Subject Classification ID: 65F22
Mathematics Subject Classification ID: 65R32
Mathematics Subject Classification ID: 94A08
zbMATH DE Number: 7337473
zbMATH Keywords: wavelet tight frame
zbMATH Keywords: nonlocal patched denoiser
zbMATH Keywords: hybrid model
zbMATH Keywords: single image restoration
zbMATH Keywords: alternating direction method of multiplier
describes a project that uses: BM3D
MaRDI profile type: Publication
Wikidata QID: Q113103576
full work available at URL: j.cam.2021.113495
OpenAlex ID: W3131091640
cites work: A fast image recovery algorithm based on splitting deblurring and denoising
cites work: A nonstationary accelerating alternating direction method for frame-based Poissonian image deblurring
cites work: An efficient nonconvex regularization for wavelet frame and total variation based image restoration
cites work: Regularized iterative Weiner filter method for blind image deconvolution
cites work: Simultaneous image fusion and denoising by using fractional-order gradient information
cites work: Image inpainting using reproducing kernel Hilbert space and Heaviside functions
cites work: The Little Engine that Could: Regularization by Denoising (RED)
cites work: BM3D Frames and Variational Image Deblurring
cites work: Plug-and-Play Unplugged: Optimization-Free Reconstruction Using Consensus Equilibrium
cites work: A Convergent Image Fusion Algorithm Using Scene-Adapted Gaussian-Mixture-Based Denoising
cites work: Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
cites work: Enhancing sparsity by reweighted \(\ell _{1}\) minimization
cites work: Sparse Signal Reconstruction via Iterative Support Detection
cites work: Analysis of multi-stage convex relaxation for sparse regularization
cites work: Split Bregman Methods and Frame Based Image Restoration
cites work: Adaptive total variation image deblurring: a majorization-minimization approach
cites work: Nonlocally Centralized Sparse Representation for Image Restoration
cites work: Category-Specific Object Image Denoising
cites work: Image Restoration by Iterative Denoising and Backward Projections
cites work: Group-Based Sparse Representation for Image Restoration
cites work: Iterative Support Detection-Based Split Bregman Method for Wavelet Frame-Based Image Inpainting
cites work: Nonparametric Bayesian Dictionary Learning for Analysis of Noisy and Incomplete Images
cites work: High-quality Image Restoration Using Low-Rank Patch Regularization and Global Structure Sparsity
cites work: Data-driven tight frame construction and image denoising
DOI: 10.1016/J.CAM.2021.113495
description: scientific article; zbMATH DE number 7337473