References in zbMATH (referenced in 266 articles , 1 standard article )

Showing results 1 to 20 of 266.
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  1. Afraites, L.; Hadri, A.; Laghrib, A.: A denoising model adapted for impulse and Gaussian noises using a constrained-PDE (2020)
  2. Chen, Jiawei; Wang, Yiyun; He, Hongjin; Lv, Yibing: Convergence analysis of positive-indefinite proximal ADMM with a Glowinski’s relaxation factor (2020)
  3. Chowdhury, Mujibur Rahman; Zhang, Jun; Qin, Jing; Lou, Yifei: Poisson image denoising based on fractional-order total variation (2020)
  4. Ding, Meng; Huang, Ting-Zhu; Ma, Tian-Hui; Zhao, Xi-Le; Yang, Jing-Hua: Cauchy noise removal using group-based low-rank prior (2020)
  5. Liu, Jingjing; Ni, Anqi; Ni, Guoxi: A nonconvex (l_1 (l_1-l_2)) model for image restoration with impulse noise (2020)
  6. Liu, Xiaoman; Liu, Jijun: Image restoration from noisy incomplete frequency data by alternative iteration scheme (2020)
  7. Mead, J.: ( \chi^2) test for total variation regularization parameter selection (2020)
  8. Theljani, Anis; Chen, Ke: A Nash game based variational model for joint image intensity correction and registration to deal with varying illumination (2020)
  9. Wang, Weina; Wu, Chunlin; Tai, Xue-Cheng: A globally convergent algorithm for a constrained non-Lipschitz image restoration model (2020)
  10. Wang, Yugang; Huang, Ting-Zhu; Zhao, Xi-Le; Jiang, Tai-Xiang: Video deraining via nonlocal low-rank regularization (2020)
  11. Ben Said, Ahmed; Hadjidj, Rachid; Foufou, Sebti: Total variation for image denoising based on a novel smart edge detector: an application to medical images (2019)
  12. Censor, Yair; Heaton, Howard; Schulte, Reinhard: Derivative-free superiorization with component-wise perturbations (2019)
  13. Chen, Bao; Tang, Yuchao: Iterative methods for computing the resolvent of the sum of a maximal monotone operator and composite operator with applications (2019)
  14. Ding, Meng; Huang, Ting-Zhu; Wang, Si; Mei, Jin-Jin; Zhao, Xi-Le: Total variation with overlapping group sparsity for deblurring images under Cauchy noise (2019)
  15. Gelb, Anne; Scarnati, Theresa: Reducing effects of bad data using variance based joint sparsity recovery (2019)
  16. Huang, Jianping; Wang, Lihui; Zhu, Yuemin: Compressed sensing MRI reconstruction with multiple sparsity constraints on radial sampling (2019)
  17. Huang, Jie; Huang, Ting-Zhu: A nonstationary accelerating alternating direction method for frame-based Poissonian image deblurring (2019)
  18. Ji, Hui; Shen, Zuowei; Zhao, Yufei: Digital Gabor filters do generate MRA-based wavelet tight frames (2019)
  19. Kang, Myeongmin; Kang, Myungjoo; Jung, Miyoun: Sparse representation based image deblurring model under random-valued impulse noise (2019)
  20. Lazzaro, D.; Loli Piccolomini, E.; Zama, F.: A fast splitting method for efficient split Bregman iterations (2019)

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