基于分层细化的Wyner-Ziv视频解码算法  

Layered Refinement-based Wyner-Ziv Video Decoding Algorithm

作　　者：杨佳[1] YANG Jia(College of Communication Engineering,Chengdu University of Information Technology,Chengdu 610225,China)

机构地区：[1]成都信息工程大学通信工程学院,四川成都610225

出　　处：《成都信息工程大学学报》2022年第1期62-66,共5页Journal of Chengdu University of Information Technology

基　　金：四川省教育厅科研基金资助项目(16ZB0220)。

摘　　要：为进一步提高分布式视频编码(distributed video coding,DVC)的压缩性能,针对离散小波变换域DVC,提出了基于分层细化的Wyner-Ziv解码算法。算法充分利用小波多尺度和多分辨率的特性,将边信息优化算法和高阶统计模型进行了深度融合。在比特层面上,通过边信息优化算法提升每一分解层高频子带的边信息质量,从而提高高阶统计模型中与边信息相关的两大特征的准确性,增强高阶统计模型在信源相关性挖掘和有效利用方面的性能,实现DVC压缩性能的提升。测试结果表明,与参考文献相比,基于本文算法的DVC系统压缩性能有明显提高。In order to further improve the compression performance for distributed video Coding(DVC),a layered refinement-based Wyner-Ziv video decoding algorithm is proposed for DVC in discrete wavelet transform(DWT) domain.The algorithm makes full use of the characteristics of wavelet multi-scale and multi-resolution in DWT domain to combine the side information optimization algorithm with the high-order statistical model in depth.At the bit-plane level,the side information quality of each high frequency sub-band is refined by the optimization algorithm,and then the optimized side information is used to promote the accuracy of the two features related to side information in the high-order statistical model.The performance of high-order statistical model in the effective exploration and utilization of the source correlation is thus enhanced,and the improvement of DVC compression performance is achieved.The test results show that,compared with the references,the compression performance of the DVC system based on the proposed algorithm is improved obviously.

关 键 词：低功耗通信 分布式视频编码 虚拟信道模型 边信息 

分 类 号：TN919.81[电子电信—通信与信息系统]