通过光子计数和计算成像增强视觉感知:光子事件的时间和数量可以告诉我们关于我们周围世界的信息

Martin Laurenzis, F. Christnacher
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引用次数: 0

摘要

经典的光电传感技术主要是检测光强并将其显示在灰度图像中。因此,EO系统的发展主要关注分辨率、信噪比和图像或数据速率之间的权衡。近年来,硅基单光子计数雪崩二极管(SPAD)探测器的发展引发了传感器技术的革命性发展和范式转变。与强度成像相比,SPAD传感器能够以二进制和无噪声的强度感知单个光子事件。此外,这些光子事件的发生可以在时间上非常精确地确定,允许访问亚纳秒甚至皮秒的时间尺度,并应用于精确的距离测量。结合计算成像,即将采集过程与强大的数学模型联系起来,可以获得以前无法获得的信息,并扩展EO传感器的感知范围。在本文中,我们提供了各种主动式和被动式SPAD成像技术的概述,这些技术与激光照明或使用环境光相结合。我们专注于与军事用途相关的应用。详细介绍了在被动成像、散射介质测距和视觉以及非视距成像等先进采集方法方面的研究成果。
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Enhanced visual perception through photon counting and computational imaging: what the time and number of photon events can tell us about the world around us
Classical electro-optical (EO) sensing focuses on detecting light intensity and displaying it in grayscale images. Therefore, the development of EO systems was mainly concerned with the trade-off between resolution, signal-to- noise ratio, and image or data rate. In recent years, the development of silicon based single photon-counting avalanche diode (SPAD) detectors has initiated an almost unnoticed revolutionary development and paradigm shift in sensor technology. In contrast to intensity imaging, SPAD sensors are capable to sense a single photon event as a binary and noise free intensity. Furthermore, the occurrence of these photon events can be determined very precisely in time, allowing access to the sub-nanosecond or even picosecond time scale and application in precise distance measurement. Combined with computational imaging, i.e. linking the acquisition process to a strong mathematical model, it is possible to obtain information that was previously inaccessible and extend the perceptual range of EO sensors. In this paper, we provide an overview of various active and passive SPAD imaging techniques that are coupled with laser illumination or use ambient light. We focus on applications with relevance to military use. In detail, we summarize results in the areas of passive imaging, range finding and vision through scattering media, and advanced acquisition methods such as non-line-of-sight imaging.
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来源期刊
自引率
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发文量
34
审稿时长
9 weeks
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