Sparsity-based image denoising via dictionary learning and structural clustering

@article{Dong2011SparsitybasedID,
  title={Sparsity-based image denoising via dictionary learning and structural clustering},
  author={Weisheng Dong and Xin Li and Lei Zhang and Guangming Shi},
  journal={CVPR 2011},
  year={2011},
  pages={457-464}
}
Where does the sparsity in image signals come from? Local and nonlocal image models have supplied complementary views toward the regularity in natural images — the former attempts to construct or learn a dictionary of basis functions that promotes the sparsity; while the latter connects the sparsity with the self-similarity of the image source by clustering. In this paper, we present a variational framework for unifying the above two views and propose a new denoising algorithm built upon… 
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