Sun Shuai, Lin Huizu, Xu Yaokun, Gu Junhao, Liu Weitao
Opt Express. 2019 Sep 30;27(20):27851-27861. doi: 10.1364/OE.27.027851.
At present, a large number of samplings are required to reconstruct an image of the objects in ghost imaging. When imaging moving objects, it will be hard to perform enough samplings during the moment when the objects can be taken as immobile, causing the reconstructed image of the objects deteriorating. In this paper, we propose a temporal intensity difference correlation ghost imaging scheme, in which a high-quality image of the moving objects within a complex scene can be extracted with much fewer samplings. The spatial sparsity of the moving objects is utilized, while only a linear algorithm is required. This method decreases the number of required samplings, thus relaxing the requirement on high refresh frequency of illumination source and high speed detector, to obtain the information of moving objects with ghost imaging.
目前，在鬼成像中重建物体图像需要大量采样。对运动物体成像时，在物体可视为静止的瞬间很难进行足够的采样，导致物体的重建图像质量下降。本文提出了一种时间强度差相关鬼成像方案，该方案能够用少得多的采样提取复杂场景中运动物体的高质量图像。该方案利用了运动物体的空间稀疏性，且仅需线性算法。此方法减少了所需的采样数量，从而放宽了对照明源高刷新率和高速探测器的要求，以通过鬼成像获取运动物体的信息。
