@inproceedings{7cabf2fbe3ac4c72a09f647e4ea4db21,
title = "Target interpretation of visible light image and infrared image fusion method",
abstract = "Due to the different purposes of image fusion, fusion approach taken is also different. For target identification, as a result of target feature of infrared and visible light image is different, in order to keep the high spatial resolution and rich texture information of visible light image, At the same time, make the target in the infrared image as prominent as possible. This paper uses a fusion algorithm based on Non-Subsampled Contourlet Transform (NSCT) and wavelet transform. After image NSCT decomposition, use of low frequency coefficient fusion algorithm based on wavelet transform, according to the characteristics of the fusion image the high frequency coefficients using the fusion rule based on region energy. The experimental results show that the fusion algorithm can keep the Spectral information of visible light image and the target information of infrared image better, with more details and clearer edges. The algorithm can obtain an ideal fusion image, which has a guiding effect on the target's interpretation, and its fusion effect is better than the conventional image fusion algorithm.",
keywords = "Image fusion, Infrared image, NSCT, Visible light image, Wavelet transform",
author = "Wei Sun and Wen Xiao and Feng Pan and Chao Du",
note = "Publisher Copyright: {\textcopyright} 2017 SPIE.; Applied Optics and Photonics China: Optical Sensing and Imaging Technology and Applications, AOPC 2017 ; Conference date: 04-06-2017 Through 06-06-2017",
year = "2017",
doi = "10.1117/12.2282251",
language = "英语",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Yadong Jiang and Weibiao Chen and Haimei Gong and Jin Li",
booktitle = "AOPC 2017",
address = "美国",
}