@inproceedings{828d20b301704c4784c73f827af289f8,
title = "Infrared and visible image fusion with the target marked based on multi-resolution visual attention mechanisms",
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 pseudocolor 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.",
keywords = "Curvelet transform, Image fusion, Itti, Multi-resolution analysis, Target detection",
author = "Yadong Huang and Kun Gao and Chen Gong and Lu Han and Yue Guo",
note = "Publisher Copyright: {\textcopyright} 2017 SPIE.; Chinese Society for Optical Engineering Conferences, CSOE 2016 ; Conference date: 01-11-2016",
year = "2017",
doi = "10.1117/12.2264771",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Hesheng Chen and Jianyu Wang and Jialing Le and Jianda Shao and Yueguang Lv",
booktitle = "Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016",
address = "United States",
}