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引用次数: 6
摘要
分布式视频编码(Distributed video coding, DVC)是20世纪70年代从Slepian & Wolf和Wyner & Ziv的信息理论成果中衍生出来的一种新的视频编码范式。基于turbo码的Wyner-Ziv编解码器为有损DVC方案提供了一个实用的解决方案。它能够提供良好的率失真(DR)性能，同时将复杂性负担从编码器转移到解码器。本文提出了一种基于穿刺turbo码的像素域DVC系统。阐述了基于最大A后验(MAP)的turbo码迭代解码方法。引入虚拟信道模型估计来计算输入到turbo解码器的先验概率。实验结果表明，与传统的帧内编码模式相比，该方法有显著的提高。结果表明，与以往的同类工作相比，所提出的DVC系统具有更好的RD性能。
Application of Punctured Turbo Codes in Distributed Video Coding
Distributed video coding (DVC) is a new video coding paradigm derived from Slepian & Wolf's and Wyner & Ziv's information-theoretic results in 1970's. Turbo-code-based Wyner-Ziv codec provides a practical solution to lossy DVC schemes. It is able to provide good Rate distortion (DR) performance while shift complexity burden from encoder to decoder. In this paper, we proposed a pixel domain DVC system based on punctured turbo codes. The iterative decoding of turbo codes based on Maximum A Posterior (MAP) for DVC case is elaborated. Virtual channel model estimation is introduced to compute the a priori probabilities to be input to the turbo decoder. The experimental results presents significant gains compared to traditional intraframe coding paradigm. It is concluded that the proposed DVC system obtains better RD performance against previous similar works.
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