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Proceedings Paper

Infrared and visible image fusion with the target marked based on multi-resolution visual attention mechanisms
Author(s): Yadong Huang; Kun Gao; Chen Gong; Lu Han; Yue Guo
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Paper Abstract

During traditional multi-resolution infrared and visible image fusion processing, the low contrast ratio target may be weakened and become inconspicuous because of the opposite DN values in the source images. So a novel target pseudo-color enhanced image fusion algorithm based on the modified attention model and fast discrete curvelet transformation is proposed. The interesting target regions are extracted from source images by introducing the motion features gained from the modified attention model, and source images are performed the gray fusion via the rules based on physical characteristics of sensors in curvelet domain. The final fusion image is obtained by mapping extracted targets into the gray result with the proper pseudo-color instead. The experiments show that the algorithm can highlight dim targets effectively and improve SNR of fusion image.

Paper Details

Date Published: 8 March 2017
PDF: 8 pages
Proc. SPIE 10255, Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016, 102552V (8 March 2017); doi: 10.1117/12.2264771
Show Author Affiliations
Yadong Huang, Beijing Institute of Technology (China)
Kun Gao, Beijing Institute of Technology (China)
Chen Gong, Beijing Institute of Technology (China)
Lu Han, Beijing Institute of Technology (China)
Yue Guo, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 10255:
Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016
Yueguang Lv; Jialing Le; Hesheng Chen; Jianyu Wang; Jianda Shao, Editor(s)

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