%0 Journal Article
%T Image Quality Estimation Based on Multi-linear Analysis<br>基于多元线性回归的图像质量评价方法
%A WEI Xue-hui
%A LI Jun-li
%A CHEN Gang
%A <br>韦学辉
%A 李均利
%A 陈刚
%J 中国图象图形学报
%D 2008
%I 
%X We describe the development of the objective quality estimation.For some typical methods,we classified them into several groups.Spearman correlation coefficient and Pearson correlation coefficient of given image quality methods of different kind of distortion such as compression,noise and so on are analyzed.It turns out that different methods have different simulations to different distorted images.After that multi-linear regression analysis is used to integrate the advantages of different methods and then we get a new image quality estimation which can simulate smartly all kind of distortions.In our experiment,by analyzing the correlation coefficient we prove that our new quality estimation is robust.
%K image quality estimation
%K correlation coefficient
%K linear regression analysis
%K human visual system<br>图像质量评价
%K 相关系数
%K 线性回归分析
%K 人眼视觉系统
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=9E4D870C0A0595EEF0AB17CA6815B687&yid=67289AFF6305E306&vid=FC0714F8D2EB605D&iid=708DD6B15D2464E8&sid=A4F4D28C1A7C14B6&eid=EFA8E15DC5F0C101&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=27