Journal of South China University of Technology (Natural Science Edition) ›› 2010, Vol. 38 ›› Issue (5): 46-50.doi: 10.3969/j.issn.1000-565X.2010.05.009

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

Diffused Error Concealment Algorithm Based on Human Visual System

Xiang You-jun  Xie Sheng-li  Zhou Zhi-heng   

  1. School of Electronic and Information Engineering,South China University of Technology,Guangzhou 510640,Guangdong,China
  • Received:2009-04-27 Revised:2009-07-10 Online:2010-05-25 Published:2010-05-25
  • Contact: 向友君（1976-），女，讲师，在职博士生，主要从事图像处理、视频编码研究． E-mail:yjxiang@scut．edu．cn
  • About author:向友君（1976-），女，讲师，在职博士生，主要从事图像处理、视频编码研究．
  • Supported by:

    国家自然科学基金重点资助项目（U0635001 U0835003） 国家自然科学基金资助项目（60804051）; 教育部高等学校博士学科点专项科研基金资助项目（20090172120011）; 中央高校基本科研业务费专项资金资助项目（2009ZM0295）

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Abstract:

In order to avoid the information loss during the compressed video transmission,an error concealment algorithm based on the diffusion equation is proposed to recover the lost information.In this algorithm,first,a distortion function considering the temporal and spatial boundary matching is presented to estimate the lost motion vectors and make an initial recovery of the lost information.Then,an anisotropy diffusion equation,which is constructed on the basis of activity-masking characteristics in human visual system,is used to make a fine recovery of the lost information.Finally,error concealments for different video sequences in discrete losing and consecutive losing cases are made by simulation.The results show that the proposed algorithm effectively reduces the blocking effect of the recovered images and achieves good visual effect,with a PSNR being averagely 3~5dB higher than that of the traditional algorithm.

Key words: boundary matching, human visual system, diffusion equation, error concealment