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  • 标题:PARIGI: a Patch-based Approach to Remove Impulse-Gaussian Noise from Images
  • 本地全文:下载
  • 作者:Julie Delon ; Agnès Desolneux ; Thierry Guillemot
  • 期刊名称:Image Processing On Line
  • 电子版ISSN:2105-1232
  • 出版年度:2016
  • 卷号:6
  • 页码:130-154
  • DOI:10.1137/120885000
  • 出版社:Image Processing On Line
  • 摘要:In this paper, we present an implementation of the PARIGI method that addresses the problem of the restoration of images affected by impulse noise or by a mixture of Gaussian and impulse noise. The method relies on a patch-based approach, which requires careful choices for both the distance between patches and for the statistical estimator of the original patch. Experiments are performed in the case of pure impulse noise and in the case of a mixture of Gaussian and impulse noise.
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