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24 October 2017 Target interpretation of visible light image and infrared image fusion method
Wei Sun, Wen Xiao, Feng Pan, Chao Du
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Proceedings Volume 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications; 104620E (2017) https://doi.org/10.1117/12.2282251
Event: Applied Optics and Photonics China (AOPC2017), 2017, Beijing, China
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.
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Wei Sun, Wen Xiao, Feng Pan, and Chao Du "Target interpretation of visible light image and infrared image fusion method", Proc. SPIE 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104620E (24 October 2017); https://doi.org/10.1117/12.2282251
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KEYWORDS
Image fusion
Infrared imaging
Infrared radiation
Visible radiation
Wavelet transforms
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