A novel similarity based quality metric for image fusion

Authors:
Cui Yang;Jian-Qi Zhang;Xiao-Rui Wang;Xin Liu
Affiliations:
School of Technical Physics, Xidian University, Xi'an shaanxi, 710071, People's Republic of China;School of Technical Physics, Xidian University, Xi'an shaanxi, 710071, People's Republic of China;School of Technical Physics, Xidian University, Xi'an shaanxi, 710071, People's Republic of China;School of Technical Physics, Xidian University, Xi'an shaanxi, 710071, People's Republic of China
Venue:
Information Fusion
Year:
2008

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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.