Li Fengqiang, Zhao Ming, Tian Zhiming, Willomitzer Florian, Cossairt Oliver
Opt Express. 2020 Jun 8;28(12):17395-17408. doi: 10.1364/OE.394639.
Imaging through scattering media is challenging since the signal to noise ratio (SNR) of the reflection can be heavily reduced by scatterers. Single-pixel detectors (SPD) with high sensitivities offer compelling advantages for sensing such weak signals. In this paper, we focus on the use of ghost imaging to resolve 2D spatial information using just an SPD. We prototype a polarimetric ghost imaging system that suppresses backscattering from volumetric media and leverages deep learning for fast reconstructions. In this work, we implement ghost imaging by projecting Hadamard patterns that are optimized for imaging through scattering media. We demonstrate good quality reconstructions in highly scattering conditions using a 1.6% sampling rate.
通过散射介质进行成像具有挑战性，因为反射的信噪比（SNR）会被散射体大幅降低。具有高灵敏度的单像素探测器（SPD）在检测此类微弱信号方面具有显著优势。在本文中，我们专注于利用鬼成像仅使用一个SPD来解析二维空间信息。我们制作了一个偏振鬼成像系统的原型，该系统可抑制来自体积介质的后向散射，并利用深度学习进行快速重建。在这项工作中，我们通过投影针对通过散射介质成像进行优化的哈达玛图案来实现鬼成像。我们使用1.6%的采样率在高散射条件下展示了高质量的重建结果。
