A novel similarity based quality metric for image fusion

被引：360

作者：

Yang, Cui ^{[1
]}

Zhang, Jian-Qi ^{[1
]}

Wang, Xiao-Rui ^{[1
]}

Liu, Xin ^{[1
]}

机构：

[1] Xidian Univ, Sch Tech Phys, Xian 710071, Peoples R China

来源：

INFORMATION FUSION | 2008年 / 9卷 / 02期

基金：

高等学校博士学科点专项科研基金; 中国国家自然科学基金;

关键词：

image fusion; objective performance evaluation; structural similarity;

D O I：

10.1016/j.inffus.2006.09.001

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A novel objective quality metric for image fusion is presented. The interest of our metric lies in the fact that the redundant regions and the complementary/conflicting regions are treated respectively according to the structural similarity between the source images, The experiments show that the proposed measure is consistent with human visual evaluations and can be applied to evaluate image fusion schemes that are not performed at the same level. (c) 2006 Elsevier B.V. All rights reserved.

引用

页码：156 / 160

页数：5

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