Journal of South China University of Technology (Natural Science Edition) ›› 2014, Vol. 42 ›› Issue (8): 77-83.doi: 10.3969/j.issn.1000-565X.2014.08.013

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

Generalized Gaussian Distribution-Based WZ Frame Ｒeconstruction Algoirthm for Distributed Video Coding

Liu Jie-ping He Yue-sheng   

  1. School of Electronic and Information Engineering,South China University of Technology,Guangzhou 510640,Guangdong,China
  • Received:2014-02-24 Revised:2014-04-08 Online:2014-08-25 Published:2014-07-01
  • Contact: 刘杰平(1961-)，女，博士，副教授，主要从事图像处理和多媒体通信研究． E-mail:eeliujp@scut.edu.cn
  • About author:刘杰平(1961-)，女，博士，副教授，主要从事图像处理和多媒体通信研究．
  • Supported by:

    国家自然科学基金资助项目( 60972135) ; 北京市“现代信息科学与网络技术”重点实验室和铁道部“铁路信息科学与工程”开放实验室基金资助项目( XDXX1009) ; 广州市科信局对外合作专项资助项目( 2012J5100010)

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Abstract:

In order to improve the image quality of the decoded WZ ( Wyner-Ziv) frame in the distributed videocoding ( DVC) system,a WZ frame reconstruction algorithm is proposed based on the generalized Gaussian distribution( GGD) .In this algorithm,the strong correlation between the side information and the original WZ frame istaken into account,and the GGD is used as the correlation model.Then,with the known side information and agiven quantization interval,the conditional expectation of the WZ frame is calculated as the reconstructed WZvalue.Finally,the closed-form expressions of the reconstructed WZ frames based on the GGD are derived by usinga shape parameter of 0.5.Experimental results indicate that,as compared with the MMSE ( Minimum Mean SquareError) reconstruction algorithm,the proposed algorithm achieves an average PSNＲ( Peak Signal to Noise Ratio)increment of about 0.6 dB and effectively improves the image quality of the decoded WZ frame.

Key words: distributed video coding, WZ reconstruction, generalized Gaussian distribution, Wyner-Ziv decoder

CLC Number: