Paper
3 June 2024 Short-wave infrared and visible image fusion based on a dual-band polarization imaging sensor
Weihua Huang, Wenxin Zhang, Zhengqian Tu, Yanliang Qin, Hai Bi
Author Affiliations +
Proceedings Volume 13182, 2024 International Conference on Optoelectronic Information and Optical Engineering (OIOE 2024); 1318207 (2024) https://doi.org/10.1117/12.3030493
Event: 2024 International Conference on Optoelectronic Information and Optical Engineering (OIOE 2024), 2024, Kunming, China
Abstract
Multi-modal sensors can provide more useful and detailed information. Visible images contain a large amount of detail and texture information. Short-wave infrared imaging has a strong penetrating ability and performs well in complex environments. Polarization detection can obtain polarization information which conventional imaging techniques cannot obtain. In this paper, we construct a dual-band polarization imaging sensor that can be used for visible light, short-wave infrared, and polarization imaging. An image registration algorithm is applied to obtain multi-modal images of the same scene. Multiple image fusion methods such as Laplacian pyramid transform (LPT), Intensity-Hue-Saturation (IHS) transform, principal component analysis (PCA), and pulse-coupled neural network (PCNN) are compared and analyzed with a qualitative assessment of subjective and objective metrics. Based on the experiments, the advantages and disadvantages of different fusion methods are discussed.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Weihua Huang, Wenxin Zhang, Zhengqian Tu, Yanliang Qin, and Hai Bi "Short-wave infrared and visible image fusion based on a dual-band polarization imaging sensor", Proc. SPIE 13182, 2024 International Conference on Optoelectronic Information and Optical Engineering (OIOE 2024), 1318207 (3 June 2024); https://doi.org/10.1117/12.3030493
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KEYWORDS
Image fusion

Polarization imaging

Polarization

Image quality

Image sensors

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