基于四元数奇异值分解的视频质量评价方法  

Video Quality Assessment Based on Quaternion Singular Value Decomposition

作　　者：张富强[1] 李均利[1] 李纲[1] 满家巨[2] 陈刚[1,3] 

机构地区：[1]宁波大学信息科学与工程学院,浙江宁波315211 [2]湖南师范大学数学与计算机科学学院,湖南长沙410083 [3]东南大学计算机科学与工程学院,江苏南京210096

出　　处：《电子学报》2011年第1期219-223,共5页Acta Electronica Sinica

基　　金：国家自然科学基金(No.60672072;No.60832003);浙江省自然科学基金(No.Y106505);湖南省自然科学基金(No.070209);宁波大学王宽诚幸福基金

摘　　要：准确的客观视频质量评价方法对于视频应用发展是至关重要的.近年来,图像质量评价方法已经比较成熟,而视频质量评价方法与图像质量评价方法在性能上的差距仍然较大.本文提出一种基于四元数奇异值分解的客观视频质量评价方法,该方法将像素的亮度、色度、边缘能量和残差能量作为四元数的四个部分,并用熵作为视觉感兴趣系数对块加权.在视频质量专家组(VQEG)阶段IFR-TV视频测试库上的测试结果表明,该方法与主观评价结果有很好的相关性.Accurate objective quality metric is crucial for various video processing applications.Although the area of image quality assessment has attained maturity in recent years,video quality assessment still has a long way to go before it reaches the levels of success achieved by still image quality metrics.In the paper,we present a new approach to video quality assessment based quaternion singular value decomposition（QSVD）,which take the luminance,chrominance,edge energy and motion energy of each pixel as the four parts of a quaternion,and the entropy as the degree of visual interest of regions to weight each block.We demonstrate the performance of our algorithm by testing it on the Video Quality Expert Group（VQEG）Phase I FR-TV dataset,the results show that our method is competitive with state of the art quality assessment methods and has good correlation with perceived video quality.

关 键 词：客观视频质量评价 四元数 奇异值分解 视频质量专家组(VQEG) 

分 类 号：TP37[自动化与计算机技术—计算机系统结构]