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Proceedings Paper

A robust color image fusion for low light level and infrared images
Author(s): Chao Liu; Xiao-hui Zhang; Qing-ping Hu; Yong-kang Chen
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Paper Abstract

The low light level and infrared color fusion technology has achieved great success in the field of night vision, the technology is designed to make the hot target of fused image pop out with intenser colors, represent the background details with a nearest color appearance to nature, and improve the ability in target discovery, detection and identification. The low light level images have great noise under low illumination, and that the existing color fusion methods are easily to be influenced by low light level channel noise. To be explicit, when the low light level image noise is very large, the quality of the fused image decreases significantly, and even targets in infrared image would be submerged by the noise. This paper proposes an adaptive color night vision technology, the noise evaluation parameters of low light level image is introduced into fusion process, which improve the robustness of the color fusion. The color fuse results are still very good in low-light situations, which shows that this method can effectively improve the quality of low light level and infrared fused image under low illumination conditions.

Paper Details

Date Published: 27 September 2016
PDF: 5 pages
Proc. SPIE 9684, 8th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test, Measurement Technology, and Equipment, 96841D (27 September 2016); doi: 10.1117/12.2243116
Show Author Affiliations
Chao Liu, Naval Univ. of Engineering (China)
Xiao-hui Zhang, Naval Univ. of Engineering (China)
Qing-ping Hu, Naval Univ. of Engineering (China)
Yong-kang Chen, Naval Univ. of Engineering (China)


Published in SPIE Proceedings Vol. 9684:
8th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test, Measurement Technology, and Equipment
Yudong Zhang; Fan Wu; Ming Xu; Sandy To, Editor(s)

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