电子、通信与自动控制

单向分布式视频编码中迭代相关性噪声细化方法

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  • 1. 河海大学 常州校区数理教学部,江苏 常州 213022; 2. 西安电子科技大学 人工智能学院,陕西 西安 710071; 3. 西安电子科技大学 计算机科学与技术学院,陕西 西安 710071
王建鹏(1979-),男,在职博士生,讲师,主要从事神经网络、图像处理等研究. E-mail:wangjp1879@163. com

收稿日期: 2018-11-15

  网络出版日期: 2019-03-01

基金资助

国家自然科学基金资助项目(61401324);河海大学中央高校基本科研业务费专项资金资助项目(2018B24214)

Iterative Correlation Noise Refinement for Unidirectional Distributed Video Coding

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  • 1. Department of Mathematics and Physics,Changzhou Campus of Hohai University,Changzhou 213022,Jiangsu,China; 2. School of Artificial Intelligence,Xidian University,Xi'an 710071,Shaanxi,China; 3. School of Computer Science and Technology,Xidian University,Xi'an 710071,Shaanxi,China
王建鹏(1979-),男,在职博士生,讲师,主要从事神经网络、图像处理等研究. E-mail:wangjp1879@163. com

Received date: 2018-11-15

  Online published: 2019-03-01

Supported by

Supported by the National Natural Science Foundation of China(61401324)

摘要

针对单向分布式视频编码(UDVC),文中提出了迭代相关性噪声细化方法. 在迭 代解码过程中,利用上次解码的重构系数对相关性噪声进行细化,提高相关性噪声的估计 精度,并且在细化过程中根据系数的解码可靠性对残差进行分类加权细化来避免错误解 码系数对细化的误导. 实验结果表明,经过相关性噪声细化后,重构帧中由于码率欠估计 导致的质量退化问题得到了明显的改善,不同视频序列重构 WZ 帧的平均峰值信噪比 (PSNR)可以提高 0. 32 ~0. 13dB;和未细化的单向 DVC 相比,文中基于相关性噪声细化 的单向 DVC 系统的整体平均 PSNR 也提高了约 0. 21dB.

本文引用格式

王建鹏 宋娟 刘欢 . 单向分布式视频编码中迭代相关性噪声细化方法[J]. 华南理工大学学报(自然科学版), 2019 , 47(4) : 27 -34 . DOI: 10.12141/j.issn.1000-565X.180566

Abstract

An iterative correlation noise refinement (CNR) method was proposed for unidirectional distributed video coding (UDVC). In the iterative decoding process,the correlation noise was refined by using the previously reconstructed coefficients to improve the accuracy of correlation noise modeling. During the refinement,the correla- tion noise residuals were classified according to the decoding reliability and weighted refined respectively in order to avoid misleading refinement caused by wrongly decoded coefficients. Experimental results show that the reconstruc- tion quality is greatly improved after CNR. The average peak signal-to-noise ratio (PSNR) of reconstructed WZ frames from different video sequences is improved by 0. 32 ~ 0. 13 dB. Compared with UDVC without CNR,the average PSNR of the proposed UDVC with CNR is improved by 0. 21dB.

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