Kernel Wiener filtering model with low-rank approximation for image denoising
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Publication:2198252
DOI10.1016/j.ins.2018.06.028zbMath1440.94009OpenAlexW2808453325MaRDI QIDQ2198252
Publication date: 9 September 2020
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2018.06.028
Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
Related Items (3)
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Uses Software
Cites Work
- Nonlinear total variation based noise removal algorithms
- LAPB: locally adaptive patch-based wavelet domain edge-preserving image denoising
- On the convergence properties of the projected gradient method for convex optimization
- Rank minimization with applications to image noise removal
- Weighted nuclear norm minimization and its applications to low level vision
- An adaptive fixed-point proximity algorithm for solving total variation denoising models
- On the principal components of sample covariance matrices
- A Singular Value Thresholding Algorithm for Matrix Completion
- Dual-Domain Filtering
- Image denoising using scale mixtures of gaussians in the wavelet domain
- Progressive Image Denoising
- Image Super-Resolution Based on Structure-Modulated Sparse Representation
- Time-of-Flight Range Measurement in Low-Sensing Environment: Noise Analysis and Complex-Domain Non-Local Denoising
- Fast Bilateral Filtering for Denoising Large 3D Images
- Affine Non-Local Means Image Denoising
- Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
- Nonlocal Means and Optimal Weights for Noise Removal
- Nonlocal Image Restoration With Bilateral Variance Estimation: A Low-Rank Approach
- A Review of Image Denoising Algorithms, with a New One
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