References in zbMATH (referenced in 285 articles , 1 standard article )

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  1. Chen, Xiaotong; Herring, James L.; Nagy, James G.; Xi, Yuanzhe; Yu, Bo: An ADMM-LAP method for total variation myopic deconvolution of adaptive optics retinal images (2021)
  2. Rioux, Gabriel; Choksi, Rustum; Hoheisel, Tim; Maréchal, Pierre; Scarvelis, Christopher: The maximum entropy on the mean method for image deblurring (2021)
  3. Zhang, Jianjun; Nagy, James G.: An effective alternating direction method of multipliers for color image restoration (2021)
  4. Afraites, L.; Hadri, A.; Laghrib, A.: A denoising model adapted for impulse and Gaussian noises using a constrained-PDE (2020)
  5. Chen, Bo; Lv, Yan; Zou, Jinbin; Chen, Wensheng; Pan, Binbin: A novel Speckle noise removal algorithm based on ADMM and energy minimization method (2020)
  6. Chen, Huasong; Fan, Yuanyuan; Wang, Qinghua; Li, Zhenhua: Morphological component image restoration by employing bregmanized sparse regularization and anisotropic total variation (2020)
  7. Chen, Jiawei; Wang, Yiyun; He, Hongjin; Lv, Yibing: Convergence analysis of positive-indefinite proximal ADMM with a Glowinski’s relaxation factor (2020)
  8. Chowdhury, Mujibur Rahman; Zhang, Jun; Qin, Jing; Lou, Yifei: Poisson image denoising based on fractional-order total variation (2020)
  9. Ding, Meng; Huang, Ting-Zhu; Ma, Tian-Hui; Zhao, Xi-Le; Yang, Jing-Hua: Cauchy noise removal using group-based low-rank prior (2020)
  10. Kyng, Rasmus; Zhang, Peng: Hardness results for structured linear systems (2020)
  11. Lee, Chang-Ock; Park, Jongho: Recent advances in domain decomposition methods for total variation minimization (2020)
  12. Li, Peng; Chen, Wengu; Ng, Michael K.: Compressive total variation for image reconstruction and restoration (2020)
  13. Liu, Jingjing; Ni, Anqi; Ni, Guoxi: A nonconvex (l_1 (l_1-l_2)) model for image restoration with impulse noise (2020)
  14. Liu, Xiaoman; Liu, Jijun: Image restoration from noisy incomplete frequency data by alternative iteration scheme (2020)
  15. Mead, J.: ( \chi^2) test for total variation regularization parameter selection (2020)
  16. Shi, Yuying; Huo, Zhimei; Qin, Jing; Li, Yilin: Automatic prior shape selection for image edge detection with modified Mumford-Shah model (2020)
  17. Theljani, Anis; Chen, Ke: A Nash game based variational model for joint image intensity correction and registration to deal with varying illumination (2020)
  18. Wang, Weina; Wu, Chunlin; Tai, Xue-Cheng: A globally convergent algorithm for a constrained non-Lipschitz image restoration model (2020)
  19. Wang, Yugang; Huang, Ting-Zhu; Zhao, Xi-Le; Jiang, Tai-Xiang: Video deraining via nonlocal low-rank regularization (2020)
  20. Yashtini, Maryam: Euler’s elastica-based algorithm for parallel MRI reconstruction using sensitivity encoding (2020)

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