Signal Processing Based Pile-up Compensation for Gated Single-Photon Avalanche Diodes
Signal Processing Based Pile-up Compensation for Gated Single-Photon Avalanche Diodes
复制标题
基于信号处理的门控单光子雪崩二极管的堆积补偿
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
A. Veeraraghavan
中科院分区：
文献类型：
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作者：
A. Pediredla;Aswin C. Sankaranarayanan;M. Buttafava;A. Tosi;A. Veeraraghavan
基于单光子雪崩二极管 (SPAD) 的瞬态成像存在称为堆积的像差。当多个光子在照明激光的单个重复周期内到达时，SPAD 仅记录第一个光子的到达；这导致记录的光瞬态存在偏差，其中稍后时刻的瞬态响应被低估。这样做的一个不幸的后果是需要在低功率水平下运行照明，以减少多个光子在单个周期内返回的概率。在低功率下操作激光器会导致测得的瞬态信号信噪比 (SNR) 较低，或者由于实现高 SNR 所需的曝光时间较长而导致帧速率降低。在本文中，我们提出了一种基于信号处理的方法来补偿后处理中的堆积，从而实现照明激光器的高功率运行。虽然增加照明确实会导致 SPAD 捕获的数据中基本信息丢失，但我们使用 Cramer-Rao 界来量化这种信息丢失，并表明我们框架中的错误仅限于这种信息丢失。我们使用实验室原型的真实数据通过实验验证了我们的假设。
Single-photon avalanche diode (SPAD) based transient imaging suffers from an aberration called pile-up. When multiple photons arrive within a single repetition period of the illuminating laser, the SPAD records only the arrival of the first photon; this leads to a bias in the recorded light transient wherein the transient response at later time-instants are under-estimated. An unfortunate consequence of this is the need to operate the illumination at low-power levels to reduce the probability of multiple photons returning in a single period. Operating the laser at low power results in either low signal-to-noise ratio (SNR) in the measured transients or reduced frame rate due to longer exposure durations to achieve a high SNR. In this paper, we propose a signal processing-based approach to compensate pile-up in post-processing, thereby enabling high power operation of the illuminating laser. While increasing illumination does cause a fundamental information loss in the data captured by SPAD, we quantify this information loss using Cramer-Rao bound and show that the errors in our framework are only limited to this information loss. We experimentally validate our hypotheses using real data from a lab prototype.
DOI：
10.1109/cvpr.2017.251
发表时间：
2017-07
期刊：
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
影响因子：
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作者：
Chia-Yin Tsai;Kiriakos N. Kutulakos;S. Narasimhan;Aswin C. Sankaranarayanan
通讯作者：
Chia-Yin Tsai;Kiriakos N. Kutulakos;S. Narasimhan;Aswin C. Sankaranarayanan
影响因子：
35
作者：
Gariepy, Genevieve;Tonolini, Francesco;Faccio, Daniele
通讯作者：
Faccio, Daniele