摘要
本文提出一种基于H.264的具有抗分组丢失能力的帧内刷新算法.该算法首先建立帧内刷新尺度矩阵,来记录每个宏块被后继帧参考的重要程度;然后,基于帧内刷新尺度矩阵提出了丢包环境下的端到端率失真模型(ME2ERD);接下来,利用H.264中补充增强信息域进行信息交互,结合ME2ERD模型自适应进行帧内刷新,从而降低分组丢失对恢复图像质量的影响.实验结果表明在高丢包率环境下,使用本文提出的帧内刷新算法,与使用随机帧内刷新算法相比,恢复图像的平均PSNR(峰值信噪比)提高5dB以上.算法与H.264标准兼容,且运算复杂度低,具有实用价值.
An H. 264-based packet loss resilient intra refresh algorithm is presented in this paper. Firstly, the intra-refresh matrix is created to record the dependent relation of the blocks in the current frame to that in the reference frame. Secondly, based on intra-refresh matrix, an end-to-end rate distortion（ME2ERD）model for packet loss network is proposed to estimate the motion mode of a block. Then, by using supplemental enhancement information（ SEI） domain, an adaptive intra refresh method is achieved to reduce the quality degradation due to error propagation. Compared with random intra refresh method, the proposed technique can improve the video quality more than 5dB over variable and error-prone channel. Furthermore, this algorithm is compatible with H. 264 without any increasing channel burden and arithmetic complexity, and can be used in practice.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2009年第1期221-224,共4页
Acta Electronica Sinica
基金
陕西省自然科学基础研究计划(No.2004F07)
ISN国家重点实验室资助课题
