Dynamically scattering medium-based security-enhanced optical image encryption using orbital angular momentum and deep learning

作     者：Hu, Junbao Mo, Xutao Lei, Yu Huang, Xianshan Wang, Dong 

作者机构：Department of Optoelectronic Engineering School of Microelectronics & Data Science Anhui University of Technology Ma'anshan Anhui 243002 China Innovation and Entrepreneurship College Anhui University of Technology Ma'anshan Anhui 243002 China 

出 版 物：《Results in Physics》 (Results Phys.)

年 卷 期：2025年第69卷

基　　金：Natural Science Research Project of Anhui Educational Committee, (2024AH050168) National Natural Science Foundation of China, NSFC, (62175001) Talent Project Scientific Research Foundation for High-level Talents of Anhui University of Technology, (QD202306, QD202378) 

主　　题：Convolutional neural network Dynamically scattering Optical encryption Orbital angular momentum 

摘      要：Scattering medium-based optical image encryption is a practical strategy for information security, but it is challenging to convert speckles caused by scattering into encrypted information. In addition, the security level of the encryption is an issue of concern. Here we propose and demonstrate a potential optical image encryption with high security, in particular using optical orbital angular momentums (OAMs) to carry plaintext information so that encrypted information can be coded and converted into speckles, besides a dynamic diffuser for encryption and a pre-trained convolutional neural network (CNN) model for decryption. The high level of security stems from the use of both the order key (one-to-one correspondence between the labelled OAMs and the speckles) and the model key (unduplicatable pre-trained CNN model). Proof-of-concept experiments to demonstrate the proposed method have been successfully carried out. The image encryption method can open up new prospects for authentication, anti-counterfeiting and encrypted communication. © 2024