GUOWEI YANG et al: A NOVEL EXEMPLAR-BASED NON-LOCAL ALGORITHM FOR IMAGE INPAINTING

نویسندگان

  • Guowei YANG
  • Fan YANG
  • Xiaodong ZHUANG
چکیده

A novel exemplar-based image inpainting algorithm using the Non-Local Means (NLM) algorithm and Criminisi algorithm is proposed. In order to decrease the error in match rate, the new algorithm adopts the sum of squared differences (SSD) search method for several exemplars to generate a candidate exemplar set. Then it determines the Hausdorff distance as measurement criterion to find a match block by computing the weighted average of the exemplar set so that the image edge structure is preferentially propagated. Experimental results demonstrate that the improved algorithm keeps the image structure better and obtains better visual appearance.

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تاریخ انتشار 2016