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The dual-channel Ultraviolet/Low light CMOS camera using image fusion technique

机译:采用图像融合技术的双通道紫外/弱光CMOS相机

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摘要

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~(-3)lux, 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.
机译:紫外线检测技术已成为指纹识别,电晕检测和尾羽检测领域的研究热点。可见光通道中使用的低光CMOS甚至可以在10〜(-3)lux中工作。双通道紫外线/低光CMOS相机的显着优势是紫外线与宽动态范围可见光信息的融合,可以丰富图像细节并帮助观察者全天候定位在复杂背景中的紫外线目标。研究了UV ICMOS的组成结构,成像驱动,紫外/弱光图像融合算法和光子计数算法。具有耦合光纤面板的1英寸宽动态范围CMOS芯片耦合至UV图像增强器。考虑到紫外线检测的需求,设计了CMOS芯片的驱动电路,并编写了基于Verilog语言的相应程序。通过对紫外图像和弱光CMOS图像特性的分析比较,应用改进的拉普拉斯金字塔融合算法。 UV图像和低光CMOS图像是多尺度分解的,并且从UV图像或低光CMOS图像中选择不同频率层中的特征。连接的组件标记方式用于紫外线检测和成像。最后进行了紫外线信号的检测实验,给出了结果并进行了分析。

著录项

  • 来源
  • 会议地点 San Diego(US)
  • 作者单位

    School of Electronic and Optical Engineering, Nanjing University of Science and Technology,Nanjing, 210094, China;

    School of Electronic and Optical Engineering, Nanjing University of Science and Technology,Nanjing, 210094, China;

    School of Electronic and Optical Engineering, Nanjing University of Science and Technology,Nanjing, 210094, China;

    School of Electronic and Optical Engineering, Nanjing University of Science and Technology,Nanjing, 210094, China;

    School of Electronic and Optical Engineering, Nanjing University of Science and Technology,Nanjing, 210094, China;

    School of Electronic and Optical Engineering, Nanjing University of Science and Technology,Nanjing, 210094, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Solar blind; UV ICMOS; Low-light CMOS; Image fusion; Corona; Single photon detection;

    机译:遮阳帘紫外线ICMOS;弱光CMOS;图像融合;电晕;单光子检测;
  • 入库时间 2022-08-26 14:33:03

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