On the Role of Sparse and Redundant Representations in Image Processing

@article{Elad2010OnTR,
  title={On the Role of Sparse and Redundant Representations in Image Processing},
  author={Michael Elad and M{\'a}rio A. T. Figueiredo and Yi Ma},
  journal={Proceedings of the IEEE},
  year={2010},
  volume={98},
  pages={972-982}
}
Much of the progress made in image processing in the past decades can be attributed to better modeling of image content and a wise deployment of these models in relevant applications. This path of models spans from the simple l2-norm smoothness through robust, thus edge preserving, measures of smoothness (e.g. total variation), and until the very recent models that employ sparse and redundant representations. In this paper, we review the role of this recent model in image processing, its… CONTINUE READING
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Sapiro,“Sparse representation for color image restoration

  • J. Mairal, M. Elad
  • IEEE Transactions On Image Processing,
  • 2008
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