%0 Journal Article
%T Image Quality Assessment Based on Geometric Structural Distortion Model<br>基于几何结构失真模型的图像质量评价研究
%A CHENG Guang-Quan
%A ZHANG Ji-Dong
%A CHENG Li-Zhi
%A HUANG Jin-Cai
%A LIU Zhong
%A <br>程光权
%A 张继东
%A 成礼智
%A 黄金才
%A 刘忠
%J 自动化学报
%D 2011
%I 
%X The goal of objective image quality assessment research is to automatically predict perceived image quality in a perceptually consistent manner, which should generally include all distortion types. It is found there is some deficiencies in traditional structural similarity index for image quality assessment by ignoring the geometric features of natural images, which fails to measure some particular distortion types. Inspired by the researches of quality prediction of human visual system (HVS) and the intrinsically geometric structural features of natural images, a novel geometric structural distortion model based full reference image quality assessment method is proposed in this paper. The distortion comparisons of direction, magnitude, and covariance are considered in our proposed method. The experimental results on standard image database show that our method is generally good for all distortion types and has relatively low computational complexity. It has a good consistency with the subjective assessment of human beings, thus, can be used to describe the visual perception of image quality.
%K Image quality assessment
%K geometric structural distortion
%K visual perception
%K human visual system (HVS)<br>图像质量评价
%K 几何结构失真
%K 视觉感知
%K 人眼视觉系统
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=F32C7DEF351C88CCE893357EBAAAA248&yid=9377ED8094509821&vid=42425781F0B1C26E&iid=DF92D298D3FF1E6E&sid=A9C78B2A6AAEEAAD&eid=C79A3F06E2AC5B9E&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=17