The maximum a posteriori estimation model for signal recovery with mixed Gaussian and impulse noise
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Publication:6066883
DOI10.1016/j.aml.2023.108859zbMath1528.94021OpenAlexW4386784690MaRDI QIDQ6066883
Publication date: 16 November 2023
Published in: Applied Mathematics Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.aml.2023.108859
Computing methodologies for image processing (68U10) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
Cites Work
- Restoration of images corrupted by Gaussian and uniform impulsive noise
- Proximity algorithms for the L1/TV image denoising model
- Restoration of Images Corrupted by Impulse Noise and Mixed Gaussian Impulse Noise Using Blind Inpainting
- Inverse problems: A Bayesian perspective
- Infimal Convolution of Data Discrepancies for Mixed Noise Removal
- First-Order Methods in Optimization
- Mixed Noise Removal via Laplacian Scale Mixture Modeling and Nonlocal Low-Rank Approximation
- The Spike-and-Slab LASSO
- Nonlocal low-rank regularized two-phase approach for mixed noise removal