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  • 标题:SAR Image De-Noising based on GNL-Means with Optimized Pixel-Wise Weighting in Non-Subsample Shearlet Domain
  • 本地全文:下载
  • 作者:Shuaiqi Liu ; Yu Zhang ; Qi Hu
  • 期刊名称:Computer and Information Science
  • 印刷版ISSN:1913-8989
  • 电子版ISSN:1913-8997
  • 出版年度:2017
  • 卷号:10
  • 期号:1
  • 页码:16
  • DOI:10.5539/cis.v10n1p16
  • 出版社:Canadian Center of Science and Education
  • 摘要:

    SAR images have been widely used in many fields such as military and remote sensing. So the suppression of the speckle has been an important research issues. To improve the visual effect of non-local means, generalized non-local (GNL) means with optimized pixel-wise weighting is applied to shrink the coefficients of non-subsample Shearlet transform (NSST) of SAR image. The new method can optimize the weight of GNL, which not only improve the PSNR of de-noised image, but also can significantly enhance the visual effect of de-noising image.

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