Zhang Jialin, Zhao Dan, Li Yue, Liu Yang, Sun Mingze, Li Xinjia, Yu Zhan, Zhou Xin
Appl Opt. 2023 Oct 10;62(29):7678-7688. doi: 10.1364/AO.501263.
Ghost imaging technology has a great application potential in optical security because of its non-local characteristics. In this paper, on the basis of computational ghost imaging, an optical authentication scheme is proposed that utilizes the correspondence imaging technique for the preliminary reconstruction of the object image, and then authenticates the image by a nonlinear correlation algorithm. Different from the previous optical authentication schemes that usually adopted random selection of measurements, this authentication method consciously selects the bucket detector measurement values with large fluctuation and can achieve authentication using ultra-low data volumes less than 1% of the Nyquist limit. In brief, this scheme is easy to implement and has a simpler algorithm and higher stability, which is a tremendous advantage in practical optical authentication systems. The simulation and physical experimental results demonstrate the feasibility of the scheme.
由于其非局域特性，鬼成像技术在光学安全领域具有巨大的应用潜力。本文在计算鬼成像的基础上，提出了一种光学认证方案，该方案利用对应成像技术对目标图像进行初步重建，然后通过非线性相关算法对图像进行认证。与以往通常采用随机选择测量值的光学认证方案不同，该认证方法有意识地选择波动较大的桶探测器测量值，并且能够使用小于奈奎斯特极限1%的超低数据量实现认证。简而言之，该方案易于实现，算法更简单且稳定性更高，这在实际光学认证系统中是一个巨大的优势。仿真和物理实验结果证明了该方案的可行性。
