Total bounded variation-based Poissonian images recovery by split Bregman iteration
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Publication:2882435
DOI10.1002/mma.1588zbMath1252.94014OpenAlexW2091839342MaRDI QIDQ2882435
Publication date: 4 May 2012
Published in: Mathematical Methods in the Applied Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/mma.1588
Numerical optimization and variational techniques (65K10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Numerical methods for inverse problems for initial value and initial-boundary value problems involving PDEs (65M32)
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Uses Software
Cites Work
- Unnamed Item
- Nonlinear total variation based noise removal algorithms
- Split Bregman iteration algorithm for total bounded variation regularization based image deblurring
- Image recovery via total variation minimization and related problems
- An algorithm for total variation minimization and applications
- Inverse scale spaces for nonlinear regularization
- Nonlinear inverse scale space methods
- A New Alternating Minimization Algorithm for Total Variation Image Reconstruction
- The Split Bregman Method for L1-Regularized Problems
- Noise Removal Using Smoothed Normals and Surface Fitting
- On the Convergence of the Lagged Diffusivity Fixed Point Method in Total Variation Image Restoration
- A Nonlinear Primal-Dual Method for Total Variation-Based Image Restoration
- Analysis of bounded variation penalty methods for ill-posed problems
- Regularization of linear least squares problems by total bounded variation
- Total Bounded Variation Regularization as a Bilaterally Constrained Optimization Problem
- Iterative Methods for Total Variation Denoising
- Bregman Iterative Algorithms for $\ell_1$-Minimization with Applications to Compressed Sensing
- An Iterative Regularization Method for Total Variation-Based Image Restoration
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