一种空间域Wyner-Ziv视频编码系统的性能改进算法

分布式视频编码是建立在Slepian-Wolf和Wyner-Ziv信息编码理论基础上的全新视频编码框架,具有编码复杂度低,编码效率较高,抗误码性能好的特点.本文首先简单介绍了一种典型的分布式视频编码实现方案——空间域Wyner-Ziv视频编码,随后提出一种空间域Wyner-Ziv视频编码系统的性能改进算法,该算法在不增加编码复杂度的基础上,在解码端利用双向运动估计预测获取更高质量的边信息,同时采用基于Huber-Markov随机场约束的联合迭代解码算法重建图像.实验结果表明,在相同的输出码流情况下,本文改进算法在解码端重建图像的峰值信噪比与空间域Wyner-Ziv视频编码算法相比平均提高2dB,并且主观效果有所改善.

A Novel Performance Improved Method for Pixel-Domain Wyner-Ziv Video Coding System

Distributed video coding(DVC) is a new video compression paradigm based on two key information theories:Slepian-Wolf and Wyner-Ziv theorems,and it has the advantage of very lightweight encoder,high compression efficiency and inbuilt robustness.In this paper,pixel-domain Wyner-Ziv video algorithm,which is a typical DVC scheme,is analyzed at first.Then a performance improved method for pixel-domain Wyner-Ziv video coding system is presented.The proposed method,without sacrificing the encoder complexity,can calculate high quality side information using bi-directional motion estimation and reconstruct decoding frames using side information by joint iteration function based on Huber-Markov random field.Simulation results show that a better visual quality and 2dB average gain of Power Signal-to-Noise Ratio(PSNR) can be achieved with the proposed method at the decoder.