计算机应用研究2017，Vol.34Issue(10)：3162-3164,3170,4.DOI:10.3969/j.issn.1001-3695.2017.10.062
基于非局部结构张量的SSIM图像质量评价方法
SSIM image quality assessment based on nonlocal structure tensor
摘要
Abstract
For the weakness of the image quality assessment methods based on local computation,this paper proposed a nonlocal structure tensor based SSIM image quality assessment method.The primal eigenvalue of nonlocal structure tensor at each pixel well reflected the structural strength information,especially the details information such as texture and so on.And the orientation of the primal eignvector reflected the structural direction information.This paper used the similarity of the primal eigenvalues to describe the consistency of the structural strength between the reference image and the distorted image,and the cosine of the intersection angle between the primal eignvectors to characterize the similarity of the structural direction.Numerical experiment shows that the average computing time is 778.43 s by using this method to assess the images in TID2008 database.And the assessment result is close to the subjective assessment.关键词
图像质量评价/结构相似性/非局部结构张量/结构强度/结构方向Key words
image quality assessment(IQA)/SSIM/nonlocal structure tensor/structural strength/structural direction分类
信息技术与安全科学引用本文复制引用
张文娟,张丽丽,王艳红..基于非局部结构张量的SSIM图像质量评价方法[J].计算机应用研究,2017,34(10):3162-3164,3170,4.基金项目
陕西省教育厅专项科研计划项目(15JK1371) （15JK1371）
陕西省自然科学基础研究计划项目(2014JM1018):国家自然科学基金资助项目(61472303) （2014JM1018）
中央高校基本科研业务费专项资金资助项目(NSIY21) （NSIY21）
