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机构地区:[1]西安电子科技大学机电工程学院智能控制与图像工程研究所,陕西西安710071 [2]中国电子技术标准化研究所,北京100071
出 处:《光电子.激光》2010年第9期1365-1368,共4页Journal of Optoelectronics·Laser
基 金:国家自然科学基金资助项目(60802077)
摘 要:为提高帧内刷新算法的抗传输差错能力,提出了一种基于运动跟踪的帧内刷新算法。首先,在相邻两个帧内刷新帧之间对运动影响区域内的宏块进行统计分析,选取对传输差错敏感的宏块进行帧内刷新。其次,对刷新帧后的帧间预测帧进行参考特性限制,进一步防止传输差错在帧内和帧间的扩散。实验结果表明,在多种丢包环境下,该算法与自适应帧内刷新算法相比,重建图像的峰值信噪比(PSNR)平均提高1 dB以上,主观质量明显提高,且运算复杂度低。An intra refreshment algorithm based on motion tracking is proposed to improve the performance of error resilience.First,for every frame between two sequential intra refreshed frames,the blocks affected by motion are statistically analyzed,and the blocks which are sensitive to transmission errors are selected as intra refreshed macroblocks.Second,to suppress the potential spatial and temporal error propagation,the reference number of the inter predicted frame which is behind an intra refreshed frame is limited.Results show that compared with the adaptive intra refreshment method,the proposed algorithm can improve the video quality more than 1dB at several packet lost rates.Furthermore,the algorithm can improve the subjective visual quality without obvious computation complexity.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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