Volume 35 Issue 10
Oct.  2010
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CHEN Renxi, LI Xinhui, LI Shengyang. Anisotropic Image Inpainting Model Based on MRF[J]. Geomatics and Information Science of Wuhan University, 2010, 35(10): 1231-1235.
Citation: CHEN Renxi, LI Xinhui, LI Shengyang. Anisotropic Image Inpainting Model Based on MRF[J]. Geomatics and Information Science of Wuhan University, 2010, 35(10): 1231-1235.
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Anisotropic Image Inpainting Model Based on MRF

  • 1College of Earth Science and Engineering,Hohai University,1 Xikang Road,Nanjing 210098,China;2School of Remote Sensing,Nanjing University of Information Science & Technology,114 New Pancheng Street,Pukou District,Nanjing 210044,China;3Academy of Opto-Electronics,Chinese Academy of Sciences,95 East Zhongguancun Road,Beijing 100190,China

Funds: 国家自然科学基金资助项目(40701103,40801177)；河海大学中央高校基本科研业务经费资助项目(2009B12114)
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  • Received Date: July 19, 2010
  • Revised Date: July 19, 2010
  • Published Date: October 04, 2010
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    • Abstract
  • The goal of image inpainting is to restore the damaged or missing pixels on images and now it is a hot-point research topic in image engineering.In order to restore narrow gaps on damaged images,we propose a type of anisotropic inpainting model based on Markov Random Fields.The inpainting model can preserve the edged and orientational texture and we implement our method using Simulated Annealing algorithm.Experiments show that the proposed method can obtain good results and is practical in applications.
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