一种基于ldpc的分布式视频编解码器改进译码方案

Bin Li, Yumei Wang, Qing Huang, Yu Liu
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引用次数: 4

摘要

低密度奇偶校验码(LDPC)由于其性能优于其他信道码,被广泛应用于分布式视频编码(DVC)中实现wner - ziv (WZ)编码。然而,在LDPC解码过程中,大多数DVC解决方案都没有利用视频字符来帮助解码。在本文中,我们提出了一种改进的LDPC解码方案,该方案利用视频序列中物体的运动来划分不同的侧信息置信区域(SI)。SI中的像素对应于不同的置信区域,像素对应的二值化表示将具有不同的似然比(LLR)初始化方法,用于生成LDPC迭代解码的LLR值。实验结果表明,在不增加译码复杂度的情况下,该译码方案的PSNR增益可达0.8 db。
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An LDPC-based improved decoding scheme for distributed video codec
Low-density Parity-Check (LDPC) code is widely used in distributed video coding (DVC) to realizing Wyner-Ziv (WZ) coding for its better performance than other channel codes. However, during the LDPC decoding process, most of DVC solutions do not make use of the video character to help decoding. In this paper, we propose an improved LDPC decoding scheme for DVC by utilizing the movement of the objects in the video sequence to partition different confidence areas for the side information (SI). The pixels in the SI correspond to different confidence areas, and the corresponding binary representations of the pixels will have different likelihood-ratio (LLR) initialization methods which are used to generate the LLR values for LDPC iterative decoding. The experimental results show that with the proposed decoding scheme the PSNR gain can reach up to 0.8 db without increasing the decoding complexity.
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