@inproceedings{07bd8a528a8f454590831732071ac9e8,
title = "Infrared and Visible Image Fusion with Context Enhancement Based on Human Visual System",
abstract = "In this paper, we proposed a new infrared and visible image fusion method based on human visual system (HVS), which can enhance the context of images in poor tight conditions in the process of fusion without image preprocessing. First, the original images are converted into adaptive contrast signals by the proposed multiscale model of adaptation and spatial vision. Second, these signals are combined together by our fusion rules. Finally, the fused image is obtained by converting the fused signals inversely. The experimental results show that the fused image is friendly to human vision.",
keywords = "Context Enhancement, Human Visual System, Image Fusion",
author = "Xuefeng Ai and Zhiqiang Zhou and Bo Wang",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 31st Chinese Control and Decision Conference, CCDC 2019 ; Conference date: 03-06-2019 Through 05-06-2019",
year = "2019",
month = jun,
doi = "10.1109/CCDC.2019.8833347",
language = "English",
series = "Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "987--992",
booktitle = "Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019",
address = "United States",
}