A New Detail-Preserving Regularization Scheme

@article{Guo2014AND,
  title={A New Detail-Preserving Regularization Scheme},
  author={Weihong Guo and Jing Qin and Wotao Yin},
  journal={SIAM J. Imaging Sci.},
  year={2014},
  volume={7},
  pages={1309-1334}
}
It is a challenging task to reconstruct images from their noisy, blurry, and/or incomplete measurements, especially those with important details and features such as medical magnetic resonance (MR) and CT images. We propose a novel regularization model that integrates two recently developed regularization tools: total generalized variation (TGV) by Bredies, Kunisch, and Pock; and shearlet transform by Labate, Lim, Kutyniok, and Weiss. The proposed model recovers both edges and fine details of… 
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