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An improved active imaging method for upgrading low-light-level image detection sensitivity

机译:一种提高弱光图像检测灵敏度的改进的主动成像方法

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摘要

Active imaging is an essential tool for low-light-level imaging. However, it has some drawbacks, such as limited imaging range and lack of security. We optimize the imaging approach by casting a saw-tooth wave auxiliary light signal over the sensor. Here, the auxiliary signal is superposed with a low-light-level signal, which is too weak to be measured by the sensor. After acquiring a superimposed image set in one saw-tooth wave circle, low-light-level image estimation is achieved by implementing least-square algorithm during data processing. This improved method not only makes active imaging overcome the drawbacks mentioned above, but also provides a feasible way to improve the low-light-level image detection sensitivity.
机译:主动成像是用于微光成像的必要工具。但是,它具有一些缺点,例如成像范围有限和缺乏安全性。我们通过在传感器上投射锯齿波辅助光信号来优化成像方法。在此,辅助信号与弱光信号叠加,弱光信号太弱而无法被传感器测量。在获取一个锯齿波圆中的叠加图像后,通过在数据处理过程中实施最小二乘算法可以实现微光图像估计。这种改进的方法不仅使主动成像克服了上述缺点,而且为提高微光图像检测灵敏度提供了一种可行的方法。

著录项

  • 来源
    《Applied Physics Letters》 |2013年第12期|121104.1-121104.4|共4页
  • 作者

    Hongying Tang;

  • 作者单位

    School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, People's Republic of China,Key Laboratory of Intelligent Information Processing, Kunming University of Science and Technology, Kunming 650500, People's Republic of China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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