Split Bregman method for the modified lot model in image denoising
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Publication:628889
DOI10.1016/j.amc.2010.12.009zbMath1207.94025OpenAlexW2030504885MaRDI QIDQ628889
Bao-Li Shi, Zhi Guo Wang, Zhi-Feng Pang, Yu-Fei Yang
Publication date: 8 March 2011
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.amc.2010.12.009
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
- Operator splittings, Bregman methods and frame shrinkage in image processing
- Convergence analysis of the Bregman method for the variational model of image denoising
- A note on the dual treatment of higher-order regularization functionals
- An algorithm for total variation minimization and applications
- Edge structure preserving image denoising
- Total variation wavelet thresholding
- A dual algorithm for minimization of the LLT model
- Fourth-order partial differential equations for noise removal
- Convergence Analysis of a Proximal-Like Minimization Algorithm Using Bregman Functions
- 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
- Noise Removal Using Smoothed Normals and Surface Fitting
- Split Bregman Methods and Frame Based Image Restoration
- Augmented Lagrangian Method, Dual Methods, and Split Bregman Iteration for ROF, Vectorial TV, and High Order Models
- Image Denoising Using TV-Stokes Equation with an Orientation-Matching Minimization
- Augmented Lagrangian Method, Dual Methods and Split Bregman Iteration for ROF Model
- A Nonlinear Primal-Dual Method for Total Variation-Based Image Restoration
- Iterative Methods for Total Variation Denoising
- Jump Surface Estimation, Edge Detection, and Image Restoration
- Handbook of Mathematical Models in Computer Vision
- On the Partial Difference Equations of Mathematical Physics
- An Iterative Regularization Method for Total Variation-Based Image Restoration
- Image Processing and Analysis
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