Alternating Minimization Direction Method for a Novel Total Variation Based Wavelet Shrinkage Model

نویسندگان

  • TIEYONG ZENG
  • XIAOLONG LI
چکیده

In this paper, we introduce a novel hybrid variational model which generalizes the classical total variation method and the wavelet shrinkage method. An alternating minimization direction algorithm is then employed. And we prove that it converges strongly to the minimizer of the proposed hybrid model. Finally, some numerical examples illustrate clearly that the new model outperforms the standard total variation method and wavelet shrinkage method as it recovers better image details and avoids the Gibbs oscillations.

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تاریخ انتشار 2008