Split-Bregman iteration for framelet based image inpainting
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Publication:654455
DOI10.1016/j.acha.2011.09.007zbMath1236.94021OpenAlexW2068682348MaRDI QIDQ654455
Qia Li, Lihua Yang, Li-Xin Shen
Publication date: 28 December 2011
Published in: Applied and Computational Harmonic Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.acha.2011.09.007
Numerical methods for wavelets (65T60) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
Related Items (5)
An approximate sparsity model for inpainting ⋮ Improved proximal ADMM with partially parallel splitting for multi-block separable convex programming ⋮ A framelet algorithm for de-blurring images corrupted by multiplicative noise ⋮ Multi-step fixed-point proximity algorithms for solving a class of optimization problems arising from image processing ⋮ Two-step fixed-point proximity algorithms for multi-block separable convex problems
Cites Work
- Convergence analysis of the Bregman method for the variational model of image denoising
- Total variation wavelet inpainting
- Affine systems in \(L_ 2(\mathbb{R}^d)\): The analysis of the analysis operator
- Bi-framelet systems with few vanishing moments characterize Besov spaces
- Convergence analysis of tight framelet approach for missing data recovery
- Simultaneously inpainting in image and transformed domains
- A framelet-based image inpainting algorithm
- Simultaneous cartoon and texture image inpainting using morphological component analysis (MCA)
- Mathematical Models for Local Nontexture Inpaintings
- Linearized Bregman Iterations for Frame-Based Image Deblurring
- The Split Bregman Method for L1-Regularized Problems
- Split Bregman Methods and Frame Based Image Restoration
- Euler's Elastica and Curvature-Based Inpainting
- 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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