References in zbMATH (referenced in 193 articles )

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  1. Cascarano, Pasquale; Piccolomini, Elena Loli; Morotti, Elena; Sebastiani, Andrea: Plug-and-play gradient-based denoisers applied to CT image enhancement (2022)
  2. Dong, Xiao; Xiao, Yanyang; Chen, Zhonggui; Yao, Junfeng; Guo, Xiaohu: GPU-based supervoxel segmentation for 3D point clouds (2022)
  3. Occorsio, Donatella; Ramella, Giuliana; Themistoclakis, Woula: Lagrange-Chebyshev interpolation for image resizing (2022)
  4. Rocha Neto, Jeova F. S.; Felzenszwalb, Pedro; Vazquez, Marilyn: Direct estimation of appearance models for segmentation (2022)
  5. Yao, Dan; McLaughlin, Stephen; Altmann, Yoann: Patch-based image restoration using expectation propagation (2022)
  6. Antunes, Daniel; Lachaud, Jacques-Olivier; Talbot, Hugues: An elastica-driven digital curve evolution model for image segmentation (2021)
  7. Bui, Kevin; Park, Fredrick; Lou, Yifei; Xin, Jack: A weighted difference of anisotropic and isotropic total variation for relaxed Mumford-Shah color and multiphase image segmentation (2021)
  8. Davy, Axel; Ehret, Thibaud; Morel, Jean-Michel; Arias, Pablo; Facciolo, Gabriele: Video denoising by combining patch search and CNNs (2021)
  9. Frigau, Luca; Conversano, Claudio; Mola, Francesco: Consistent validation of gray-level thresholding image segmentation algorithms based on machine learning classifiers (2021)
  10. Hertrich, Johannes; Neumayer, Sebastian; Steidl, Gabriele: Convolutional proximal neural networks and plug-and-play algorithms (2021)
  11. Juan-Albarracín, Javier; Fuster-Garcia, Elies; Juan, Alfons; García-Gómez, Juan M.: Non-local spatially varying finite mixture models for image segmentation (2021)
  12. Li, Minghui; Li, Wen; Chen, Yannan; Xiao, Mingqing: The nonconvex tensor robust principal component analysis approximation model via the weighted (\ell_p)-norm regularization (2021)
  13. Lund, Margaret; Howard, Marylesa; Wu, Dongsheng; Crum, Ryan S.; Miller, Dorothy J.; Akin, Minta C.: An anisotropic local method for boundary detection in images (2021)
  14. Muhammad, Nazeer; Bibi, Nargis; Shah, Muhammad Arif; Zainab, Saira; Ullah, Ihsan; Mahmood, Zahid: An entropy based salient edge enhancement using fusion process (2021)
  15. Pesquet, Jean-Christophe; Repetti, Audrey; Terris, Matthieu; Wiaux, Yves: Learning maximally monotone operators for image recovery (2021)
  16. Pinetz, Thomas; Kobler, Erich; Pock, Thomas; Effland, Alexander: Shared prior learning of energy-based models for image reconstruction (2021)
  17. Sreekala, K.; Kumar, H. C. Sateesh; Raja, K. B.: Low light image denoising solution with contrast enhancement in curvelet domain using Gaussian mixture adaptation model (2021)
  18. Wang, Wei; Ng, Michael K.: Color image restoration by saturation-value total variation regularization on vector bundles (2021)
  19. Wang, Wei; Yao, Mingjia; Ng, Michael K.: Color image multiplicative noise and blur removal by saturation-value total variation (2021)
  20. Channoufi, Ines; Najar, Fatma; Bourouis, Sami; Azam, Muhammad; Halibas, Alrence S.; Alroobaea, Roobaea; Al-Badi, Ali: Flexible statistical learning model for unsupervised image modeling and segmentation (2020)

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