Convergence analysis of tight framelet approach for missing data recovery

@article{Cai2009ConvergenceAO,
  title={Convergence analysis of tight framelet approach for missing data recovery},
  author={Jian-Feng Cai and Raymond H. Chan and Lixin Shen and Zuowei Shen},
  journal={Adv. Comput. Math.},
  year={2009},
  volume={31},
  pages={87-113}
}
How to recover missing data from an incomplete samples is a fundamental problem in mathematics and it has wide range of applications in image analysis and processing. Although many existing methods, e.g. various data smoothing methods and PDE approaches, are available in the literature, there is always a need to find new methods leading to the best solution according to various cost functionals. In this paper, we propose an iterative algorithm based on tight framelets for image recovery from… CONTINUE READING
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Space variant median filters for the restoration of impulse noise corrupted images

  • T. Chen, H. Wu
  • IEEE Trans. Circuits and Systems II,
  • 2001
Highly Influential
13 Excerpts

Affine system in L2(R): the analysis of the analysis operator

  • A. Ron, Z. Shen
  • Journal of Functional Analysis,
  • 1997
Highly Influential
4 Excerpts

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