Ren Ximing, Connolly Peter W R, Halimi Abderrahim, Altmann Yoann, McLaughlin Stephen, Gyongy Istvan, Henderson Robert K, Buller Gerald S
Opt Express. 2018 Mar 5;26(5):5541-5557. doi: 10.1364/OE.26.005541.
A CMOS single-photon avalanche diode (SPAD) quanta image sensor is used to reconstruct depth and intensity profiles when operating in a range-gated mode used in conjunction with pulsed laser illumination. By designing the CMOS SPAD array to acquire photons within a pre-determined temporal gate, the need for timing circuitry was avoided and it was therefore possible to have an enhanced fill factor (61% in this case) and a frame rate (100,000 frames per second) that is more difficult to achieve in a SPAD array which uses time-correlated single-photon counting. When coupled with appropriate image reconstruction algorithms, millimeter resolution depth profiles were achieved by iterating through a sequence of temporal delay steps in synchronization with laser illumination pulses. For photon data with high signal-to-noise ratios, depth images with millimeter scale depth uncertainty can be estimated using a standard cross-correlation approach. To enhance the estimation of depth and intensity images in the sparse photon regime, we used a bespoke clustering-based image restoration strategy, taking into account the binomial statistics of the photon data and non-local spatial correlations within the scene. For sparse photon data with total exposure times of 75 ms or less, the bespoke algorithm can reconstruct depth images with millimeter scale depth uncertainty at a stand-off distance of approximately 2 meters. We demonstrate a new approach to single-photon depth and intensity profiling using different target scenes, taking full advantage of the high fill-factor, high frame rate and large array format of this range-gated CMOS SPAD array.
一种互补金属氧化物半导体单光子雪崩二极管(SPAD)量子图像传感器,在与脉冲激光照明结合使用的距离选通模式下工作时,用于重建深度和强度分布。通过将互补金属氧化物半导体SPAD阵列设计为在预定的时间门内获取光子,避免了对定时电路的需求,因此有可能获得更高的填充因子(在这种情况下为61%)和帧率(每秒100,000帧),而这在使用时间相关单光子计数的SPAD阵列中更难实现。当与适当的图像重建算法相结合时,通过与激光照明脉冲同步地遍历一系列时间延迟步骤,实现了毫米级分辨率的深度分布。对于具有高信噪比的光子数据,可以使用标准的互相关方法估计深度不确定度为毫米级的深度图像。为了在稀疏光子区域增强深度和强度图像的估计,我们采用了一种基于定制聚类的图像恢复策略,考虑了光子数据的二项式统计和场景内的非局部空间相关性。对于总曝光时间为75毫秒或更短的稀疏光子数据,定制算法可以在约2米的对峙距离处重建深度不确定度为毫米级的深度图像。我们展示了一种利用不同目标场景进行单光子深度和强度分析的新方法,充分利用了这种距离选通互补金属氧化物半导体SPAD阵列的高填充因子、高帧率和大阵列格式。