Nonlocal Hierarchical Dictionary Learning Using Wavelets for Image Denoising

  title={Nonlocal Hierarchical Dictionary Learning Using Wavelets for Image Denoising},
  author={Ruomei Yan and Ling Shao and Yan Liu},
  journal={IEEE Transactions on Image Processing},
Exploiting the sparsity within representation models for images is critical for image denoising. The best currently available denoising methods take advantage of the sparsity from image self-similarity, pre-learned, and fixed representations. Most of these methods, however, still have difficulties in tackling high noise levels or noise models other than Gaussian. In this paper, the multiresolution structure and sparsity of wavelets are employed by nonlocal dictionary learning in each… CONTINUE READING
80 Citations
28 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 80 extracted citations


Publications referenced by this paper.
Showing 1-10 of 28 references

On the role of sparse and redundant representations in image processing

  • M. Elad, M.A.T. Figueiredo, M. Yi
  • Proc. IEEE, vol. 98, no. 6, pp. 972–982, Apr…
  • 2010
2 Excerpts

Similar Papers

Loading similar papers…