多边信息Wyner-Ziv视频编码的最优重构

D. Kubasov, J. Nayak, C. Guillemot
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引用次数: 159

摘要

本文研究了Wyner-Ziv视频编码系统中量化样本的最优最小均方误差重构问题。推导了拉普拉斯相关模型的最优重构值的封闭表达式。该方法可用于单侧信息场景和多侧信息场景(后者也称为多假设Wyner-Ziv解码)。速率失真性能结果证实了所提出的最优重构方法的有效性,与目前采用的简单重构方法相比,解码序列的失真显著降低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Reconstruction in Wyner-Ziv Video Coding with Multiple Side Information
This paper addresses the problem of optimal minimum mean-squared error reconstruction of quantised samples in Wyner-Ziv video coding systems. Closed-form expressions of the optimal reconstructed values are derived for a Laplacian correlation model. The method is used for both single and multiple side information scenarios (the latter is also referred to as multi-hypothesis Wyner-Ziv decoding). The efficiency of the proposed optimal reconstruction method is confirmed by rate-distortion performance results, showing significant decrease of the distortion of the decoded sequence, compared to simple reconstruction methods that have been employed so far.
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