Core image inpainting based on neighborhood pixels and wavelet de-noising
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    Abstract:

    In order to repair the broken core image,this paper proposes an inpainting algorithm based on neighborhood pixels and wavelet de-noising. Firstly,the priorities of the pixels which need repairing are calculated in order to determine the filling and inpainting order;then,the pixels are repaired with the neighboring information and the improved weighting function;finally,the de-noising of the restored core image is performed by wavelet de-noising. The algorithm combines image inpainting and wavelet de-noising,and obtains excellent results in repairing experiments.

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刘金明,吴晓红,滕奇志.基于邻近像素点和小波去噪的岩心图像修复[J]. Journal of Terahertz Science and Electronic Information Technology ,2012,10(1):103~106

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History
  • Received:July 29,2011
  • Revised:September 09,2011
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