计算机应用 ›› 2011, Vol. 31 ›› Issue (06): 1569-1571.DOI: 10.3724/SP.J.1087.2011.01569

• 图形图像技术 • 上一篇    下一篇

基于残差分布的H.264自适应整帧恢复算法

丁志鸿,王刚,刘立柱   

  1. 信息工程大学 信息工程学院,郑州 450002
  • 收稿日期:2010-11-18 修回日期:2011-01-17 发布日期:2011-06-20 出版日期:2011-06-01
  • 通讯作者: 丁志鸿
  • 作者简介:丁志鸿(1983-),男,江苏海安人,博士研究生,主要研究方向:图像视频信息处理;王刚(1982-),男,安徽滁州人,讲师,硕士,主要研究方向:无失真信源编译码;刘立柱(1949-),男,河北邢台人,教授,博士生导师,主要研究方向:信源编码分析、多媒体信息处理。

Adaptive error concealment algorithm based on residual distribution for whole frame losses in H.264

DING Zhihong,WANG Gang,LIU Lizhu   

  1. Institute of Information Engineering, Information Engineering University, Zhengzhou Henan 450002, China
  • Received:2010-11-18 Revised:2011-01-17 Online:2011-06-20 Published:2011-06-01
  • Contact: DING Zhihong

摘要: 针对H.264在网络传输中丢包造成整帧丢失的问题,提出了一种基于残差分布的H.264自适应整帧恢复算法。首先对参考帧的残差信息进行分析,对于平坦区域或刚性运动区域,采用传统的运动矢量复制法,而对运动复杂区域或产生形变等区域进行基于像素的运动矢量重新估计,再以光流法进行恢复。实验结果表明,该算法在主观视觉质量和客观峰值信噪比(PSNR)上都优于传统方法。

关键词: H.264, 整帧恢复, 自适应, 残差分布, 运动估计

Abstract: The H.264 communication over network may cause a whole frame loss. To solve the problem, an error-concealment algorithm based on residual distribution was proposed for whole frame packet loss in H.264. Firstly, the residual information of reference frame was analyzed. Then, according to the result, the motion vector copy algorithm was used in the region where the image was smooth or the image object's motion was rigid. For the other regions, the motion vector of each pixel was re-estimated, and then optical flow algorithm was introduced. Experimental results show that the algorithm outperforms the traditional one on both visual quality and Peak Signal-to-Noise Ratio (PSNR).

Key words: H.264, frame recovery, adaptive algorithm, residual distribution, motion estimation