Liu Hong-Chao
Joint Key Laboratory of the Ministry of Education, Institute of Applied Physics and Materials Engineering, University of Macau, Avenida da Universidade, Taipa, Macao SAR, China.
Faculty of Science and Technology, University of Macau, Avenida da Universidade, Taipa, Macao SAR, China.
Sci Rep. 2020 Sep 3;10(1):14626. doi: 10.1038/s41598-020-71642-2.
As an indirect and computational imaging approach, imaging reconstruction efficiency is critical for ghost imaging (GI). Here, we compare different GI algorithms, including logarithmic GI and exponential GI we proposed, by numerically analysing their imaging reconstruction efficiency and error tolerance. Simulation results show that compressive GI algorithm has the highest reconstruction efficiency due to its global optimization property. Error tolerance studies further manifest that compressive GI and exponential GI are sensitive to the error ratio. By replacing the bucket input of compressive GI with different bucket object signal functions, we integrate compressive GI with other GI algorithms and discuss their imaging efficiency. With the combination between the differential GI (or normalized GI) and compressive GI, both reconstruction efficiency and error tolerance will present the best performance. Moreover, an optical encryption is proposed by combining logarithmic GI, exponential GI and compressive GI, which can enhance the encryption security based on GI principle.
作为一种间接的计算成像方法，成像重建效率对于鬼成像（GI）至关重要。在此，我们通过数值分析不同鬼成像算法（包括我们提出的对数鬼成像和指数鬼成像）的成像重建效率和误差容限来进行比较。仿真结果表明，压缩鬼成像算法因其全局优化特性而具有最高的重建效率。误差容限研究进一步表明，压缩鬼成像和指数鬼成像对误差率敏感。通过用不同的桶输入信号函数替换压缩鬼成像的桶输入，我们将压缩鬼成像与其他鬼成像算法相结合，并讨论它们的成像效率。将差分鬼成像（或归一化鬼成像）与压缩鬼成像相结合，重建效率和误差容限都将呈现出最佳性能。此外，通过结合对数鬼成像、指数鬼成像和压缩鬼成像提出了一种光学加密方法，该方法可基于鬼成像原理增强加密安全性。
