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The dual-channel ultraviolet/low light CMOS camera using image fusion technique
Author(s): Yunsheng Qian; Xiaoyu Zhou; Xiangyu Kong; Yujing Wu; Xiaodong Tang; Yijun Zhang
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Paper Abstract

Ultraviolet detection technology, as immediate area of research focus, has been adopted in the fields of fingerprint identification, corona detection and exhaust plume detection. Low-light CMOS, which can work in even 10-3lux, is used in visible light channel. The prominent advantage of the dual-channel Ultraviolet/Low-light CMOS camera is the fusion of UV and wide dynamic range visible light information, which can enrich image details and help observers locate the UV targets in the complicated background around the clock rapidly. The paper studied on the component structure of UV ICMOS, imaging driving, the Ultraviolet/Low-light images fusion algorithm and the photon counting algorithm. The one-inch and wide dynamic range CMOS chip with the coupling optical fiber panel are coupled to the UV image intensifier. In consideration of the ultraviolet detection demand, the driving circuit of the CMOS chips is designed and the corresponding program based on Verilog language is written. After analysis and comparison of the characteristics of UV image and Low-light CMOS image, the improved Laplace pyramid fusion algorithm is applied. UV image and Low-light CMOS image are multiscale decompose, and the features in different frequency layer are chosen from either UV image or Low-light CMOS image. The connected components labeling way is utilized for the UV detection and imaging. At last, the detection experiments of the ultraviolet signal are carried out, and the results are given and analyzed.

Paper Details

Date Published: 7 September 2017
PDF: 7 pages
Proc. SPIE 10393, Radiation Detectors in Medicine, Industry, and National Security XVIII, 103930X (7 September 2017); doi: 10.1117/12.2273122
Show Author Affiliations
Yunsheng Qian, Nanjing Univ. of Science and Technology (China)
Xiaoyu Zhou, Nanjing Univ. of Science and Technology (China)
Xiangyu Kong, Nanjing Univ. of Science and Technology (China)
Yujing Wu, Nanjing Univ. of Science and Technology (China)
Xiaodong Tang, Nanjing Univ. of Science and Technology (China)
Yijun Zhang, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 10393:
Radiation Detectors in Medicine, Industry, and National Security XVIII
Gary P. Grim; Lars R. Furenlid; H. Bradford Barber, Editor(s)

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