An Adaptive Strategy for the Restoration of Textured Images using Fractional Order Regularization

@inproceedings{Chan2012AnAS,
  title={An Adaptive Strategy for the Restoration of Textured Images using Fractional Order Regularization},
  author={Raymond H. Chan and Alessandro Lanza and Serena Morigi and Fiorella Sgallari},
  year={2012}
}
Total variation regularization has good performance in noise removal and edge preservation but lacks in texture restoration. Here we present a texture-preserving strategy to restore images contaminated by blur and noise. According to a texture detection strategy, we apply spatially adaptive fractional order diffusion. A fast algorithm based on the half-quadratic technique is used to minimize the resulting objective function. Numerical results show the effectiveness of our strategy. AMS subject… CONTINUE READING
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A fast and efficient half-quadratic algorithm for TV-L1 image restoration

  • R. H. CHAN, H. X. LIANG
  • CHKU research report 370
  • 2010
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