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像素域基于广义高斯分布的WZ帧重构方案设计
引用本文:刘杰平,何越盛,韦岗.像素域基于广义高斯分布的WZ帧重构方案设计[J].北京邮电大学学报,2015,38(1):103-107.
作者姓名:刘杰平  何越盛  韦岗
作者单位:华南理工大学 电子与信息学院, 广州 510640
基金项目: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项目(2012J5100010)
摘    要:为提高分布式视频编码系统解码WZ帧的图像质量,提出了像素域基于广义高斯分布的WZ帧重构方案. 该方案充分考虑了边信息与原始WZ帧间的相关性,以广义高斯分布作为虚拟相关信道模型,提高率失真性能;用广义高斯分布做相关噪声模型,对给定量化区间,计算边信息已知情况下WZ的条件期望作为WZ重构值;为了不过多地增加重构方案的复杂度,将广义高斯分布的形状参数固定为0.5,推导出重构WZ帧的闭式表示. 实验结果表明,基于广义高斯分布的WZ帧重构方案能有效提高率失真性能和改善重构WZ帧的图像质量.

关 键 词:分布式视频编码  相关噪声模型  广义高斯分布  重构  
收稿时间:2014-04-10

Design of WZ Frame Reconstruction Technology Based on Generalized Gaussian Distribution in Pixel-Domain
LIU Jie-ping;HE Yue-sheng;WEI Gang.Design of WZ Frame Reconstruction Technology Based on Generalized Gaussian Distribution in Pixel-Domain[J].Journal of Beijing University of Posts and Telecommunications,2015,38(1):103-107.
Authors:LIU Jie-ping;HE Yue-sheng;WEI Gang
Affiliation:School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510640, China
Abstract:In order to improve the image quality of the decoded WZ ( Wyner-Ziv ) frame in distributed video coding system, WZ frame reconstruction technology based on generalized Gaussian distribution ( GGD) was proposed. The correlation between the side information and the original WZ frame was con-sidered as well. GGD was used for virtual correlation channel model so as to improve the rate distortion ( RD) performance. Meanwhile,the condition expectation of the WZ was computed as the reconstructed WZ value for the given quantization interval and the known side information in which GGD is used as cor-relation noise model. The shape parameter of GGD is fixed to 0. 5 so that it won’ t add extra complexity to the reconstruction technology. The closed-form expression of the optimal reconstructed values was de-rived. Experiments indicate that the proposed WZ frame reconstruction technology can improve the RD performance and image quality of the decoded WZ frame.
Keywords:distributed video coding  correlation noise model  generalized Gaussian distribution  recon-struction
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