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<item>
  <id>06096878</id>
  <dt>j</dt>
  <an>06096878</an>
  <augroup>
    <au>Liu, Kui</au>
    <au>Su, Ben-Yue</au>
    <au>Zhao, Xiao-Jing</au>
  </augroup>
  <ti>Image inpainting method based on structure tensor.</ti>
  <so>J. Comput. Appl. 31, No. 10, 2711-2713 (2011).</so>
  <py>2011</py>
  <pu>Science Press, Beijing</pu>
  <lagroup>
    <la>ZH</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>image inpainting</ut>
    <ut>structure tensor</ut>
    <ut>partial differential equation</ut>
    <ut>anisotropic diffusion</ut>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>doi:10.3724/SP.J.1087.2011.02711</li>
  </ligroup>
  <abgroup>
    <ab>Summary: Because the traditional anisotropic diffusion equation for image restoration only considers the gradient size, and produces false edges in color image inpainting, this paper proposed an image inpainting method based on structure tensor. Structure tensor was used as diffusion coefficient which can implement different diffusion processes in different regions. The experimental results show that the new method, in comparison with Total Variation (TV) and BSCB methods, improves the image inpainting results, and effectively inpaints color images.</ab>
    <rv></rv>
  </abgroup>
</item>