| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 532253 | Information Fusion | 2008 | 5 Pages |
Abstract
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.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Cui Yang, Jian-Qi Zhang, Xiao-Rui Wang, Xin Liu,