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机构地区:[1]西安电子科技大学综合业务网理论及关键技术国家重点实验室,陕西西安710071
出 处:《西安电子科技大学学报》2013年第3期1-6,35,共7页Journal of Xidian University
基 金:中央高校基本科研业务费专项资金资助项目(K5051201031);国家自然科学基金资助项目(60972072;61271173);高等学校学科创新引智计划资助项目(B08038);长江学者和创新团队发展计划资助项目(IRT0852);ISN国家重点实验室资助项目
摘 要:提出一种新的用于H.264/AVC的视频编码失真估计算法.该算法首先使用新的线性关系计算直流系数的方差;然后假设直流系数服从高斯分布,推导出高斯信源在DZ-UTQ with URQ量化器下的失真,根据高斯信源失真和直流系数的方差计算直流系数的编码失真;再使用一个新函数确定视频编码失真与直流系数编码失真的比值;最后通过该比值和直流系数的编码失真来估计视频编码失真.相比于现有算法中性能最优的算法,新算法可以将平均估计误差降低36%.实验结果表明,新算法能够比现有算法提供更精确的视频编码失真估计.A novel video coding distortion estimation algorithm is proposed for H. 264/AVC. First, a new linear method is used to compute the variance of the direct current (DC) coefficient. Then, with the assumption that the DC coefficient follows a Gaussian distribution, the distortion of the Gaussian source under the quantization of the dead-zone plus-uniform threshold quantization (DZ-UTQ) with the uniform reconstruction quantizer (URQ) is derived, and according to the distortion of the Gaussian source and the variance of the DC coefficient, the coding distortion of the DC coefficient called DC distortion is calculated. Thirdly, a new function is employed to compute the ratio of video coding distortion to DC distortion. Finally, video coding distortion is estimated using the ratio and DC distortion. Compared with the algorithm with the best performance in the existing algorithms, the proposed algorithm decreases the averaged estimation error by up to 36%. Experimental results show that the proposed algorithm can provide the estimation of video coding distortion more accurately than the existing algorithms.
关 键 词:视频编码失真 H 264 AVC 高斯分布 直流系数 拉普拉斯分布
分 类 号:TN919.8[电子电信—通信与信息系统]
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