Nonlocal low-rank regularized two-phase approach for mixed noise removal
From MaRDI portal
Publication:5002579
DOI10.1088/1361-6420/ac0c21zbMath1469.94018OpenAlexW3173814687MaRDI QIDQ5002579
Chen Xu, Jian Zheng, Jian Lu, Xiaoxia Liu, Qingtang Jiang, Li-Xin Shen
Publication date: 28 July 2021
Published in: Inverse Problems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1088/1361-6420/ac0c21
Convex programming (90C25) Computing methodologies for image processing (68U10) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
Related Items (6)
Color image restoration based on saturation-value total variation plus L1 fidelity* ⋮ A new nonconvex low-rank tensor approximation method with applications to hyperspectral images denoising ⋮ The maximum a posteriori estimation model for signal recovery with mixed Gaussian and impulse noise ⋮ Multitemporal image cloud removal using group sparsity and nonconvex low-rank approximation ⋮ Nonconvex model for mixing noise with fractional-order regularization ⋮ The proximity operator of the log-sum penalty
Uses Software
Cites Work
- Unnamed Item
- Reduced rank regression via adaptive nuclear norm penalization
- Two-phase approach for deblurring images corrupted by impulse plus Gaussian noise
- Introductory lectures on convex optimization. A basic course.
- A new TV-Stokes model for image deblurring and denoising with fast algorithms
- A new weighted mean filter with a two-phase detector for removing impulse noise
- Restoration of images corrupted by mixed Gaussian-impulse noise via \(l_{1}-l_{0}\) minimization
- Convergence analysis of tight framelet approach for missing data recovery
- Nonsmooth analysis of singular values. II: Applications
- Restoration of Images Corrupted by Impulse Noise and Mixed Gaussian Impulse Noise Using Blind Inpainting
- A Modified TV-Stokes Model for Image Processing
- Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
- Mixed Noise Removal by Weighted Encoding With Sparse Nonlocal Regularization
- Compressive Sensing via Nonlocal Low-Rank Regularization
- Mixed Noise Removal via Laplacian Scale Mixture Modeling and Nonlocal Low-Rank Approximation
- Multiplicative Noise Removal: Nonlocal Low-Rank Model and Its Proximal Alternating Reweighted Minimization Algorithm
- Robust quaternion matrix completion with applications to image inpainting
- Framelet Algorithms for De-Blurring Images Corrupted by Impulse Plus Gaussian Noise
- FSIM: A Feature Similarity Index for Image Quality Assessment
- A Review of Image Denoising Algorithms, with a New One
- Color Image Restoration by Saturation-Value Total Variation
This page was built for publication: Nonlocal low-rank regularized two-phase approach for mixed noise removal
