Efficient algorithms for hybrid regularizers based image denoising and deblurring
From MaRDI portal
Publication:2006049
DOI10.1016/j.camwa.2015.02.011zbMath1443.94023OpenAlexW2029078578MaRDI QIDQ2006049
Publication date: 8 October 2020
Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.camwa.2015.02.011
relaxation methodimage denoisingimage deblurringalternating minimization algorithmhybrid regularizers
Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
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Cites Work
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- Nonlinear total variation based noise removal algorithms
- An anisotropic fourth-order diffusion filter for image noise removal
- Adaptive fourth-order partial differential equation filter for image denoising
- A note on the dual treatment of higher-order regularization functionals
- A fast algorithm for the total variation model of image denoising
- Split Bregman iteration algorithm for total bounded variation regularization based image deblurring
- Adaptive total variation for image restoration in BV space
- A new nonlocal total variation regularization algorithm for image denoising
- Fast dual minimization of the vectorial total variation norm and applications to color image processing
- Entropy solutions for a fourth-order nonlinear degenerate problem for noise removal
- A dual algorithm for minimization of the LLT model
- Iterative image restoration combining total variation minimization and a second-order functional
- Fourth-order partial differential equations for noise removal
- Total bounded variation-based Poissonian images recovery by split Bregman iteration
- Relaxation Methods for Image Denoising Based on Difference Schemes
- A Fast Total Variation Minimization Method for Image Restoration
- The Split Bregman Method for L1-Regularized Problems
- Noise removal using fourth-order partial differential equation with applications to medical magnetic resonance images in space and time
- Split Bregman Methods and Frame Based Image Restoration
- A Compound Algorithm of Denoising Using Second-Order and Fourth-Order Partial Differential Equations
- High-Order Total Variation-Based Image Restoration
- Traveling Wave Solutions of Fourth Order PDEs for Image Processing
- Bregman Iterative Algorithms for $\ell_1$-Minimization with Applications to Compressed Sensing
- Signal Recovery by Proximal Forward-Backward Splitting
- Weak convergence of the sequence of successive approximations for nonexpansive mappings
