Two-stage image denoising via an enhanced low-rank prior
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Publication:2063186
DOI10.1007/s10915-021-01728-0zbMath1481.94014OpenAlexW4200376132MaRDI QIDQ2063186
Huiyu Li, Miaowen Shi, Zhen Hua, Linwei Fan, Caiming Zhang
Publication date: 10 January 2022
Published in: Journal of Scientific Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10915-021-01728-0
image denoisingtotal variation regularizationlow-ranksearch window sizeweighted nuclear norm minimization
Applications of mathematical programming (90C90) Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
Uses Software
Cites Work
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- Nonlinear total variation based noise removal algorithms
- Rank minimization with applications to image noise removal
- An algorithm for total variation minimization and applications
- Block matching local SVD operator based sparsity and TV regularization for image denoising
- Regularization with multilevel non-stationary tight framelets for image restoration
- Weighted nuclear norm minimization and its applications to low level vision
- A two-stage method for spectral-spatial classification of hyperspectral images
- Truncated fractional-order total variation model for image restoration
- Low rank prior and total variation regularization for image deblurring
- Simultaneous cartoon and texture image inpainting using morphological component analysis (MCA)
- Adaptive wavelet thresholding for image denoising and compression
- A Nonlocal Bayesian Image Denoising Algorithm
- A Total Variation Model for Retinex
- Total Variation as a Local Filter
- Robust principal component analysis?
- Deblurring of One Dimensional Bar Codes via Total Variation Energy Minimization
- A Singular Value Thresholding Algorithm for Matrix Completion
- Robust Video Restoration by Joint Sparse and Low Rank Matrix Approximation
- Variational Approach for Restoring Blurred Images with Cauchy Noise
- The curvelet transform for image denoising
- Bregmanized Nonlocal Regularization for Deconvolution and Sparse Reconstruction
- An active set strategy based on the augmented Lagrangian formulation for image restoration
- Group-Based Sparse Representation for Image Restoration
- Adaptive Image Denoising by Targeted Databases
- Image Deblurring via Enhanced Low-Rank Prior
- Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
- An image sharpening operator combined with framelet for image deblurring
- Image Restoration with Mixed or Unknown Noises
- Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems
- Fast Image Recovery Using Variable Splitting and Constrained Optimization
- Image Super-Resolution Via Sparse Representation
- Nonlocal Mumford-Shah Regularizers for Color Image Restoration
- Image Deblurring and Super-Resolution by Adaptive Sparse Domain Selection and Adaptive Regularization
- Nonparametric Bayesian Dictionary Learning for Analysis of Noisy and Incomplete Images
- Nonlocal Image Restoration With Bilateral Variance Estimation: A Low-Rank Approach
- Nonlocally Centralized Sparse Representation for Image Restoration
- Two-Step Approach for the Restoration of Images Corrupted by Multiplicative Noise
- Discovering Knowledge in Data
- Deblurring and Denoising of Images by Nonlocal Functionals
- An Iterative Regularization Method for Total Variation-Based Image Restoration
- A Review of Image Denoising Algorithms, with a New One