Single Exposure Phase-Only Optical Image Encryption and Hiding Method via Deep Learning

Abstract

Phase-only optical image security technology Based on one-time pad is an encryption and hiding method by introducing random key through phase modulation, which can improve the security of the system to a great extent. The application of traditional phase-only optical image encryption and hiding (POIEH) method is often limited by the amount of data and the quality of decrypted image. In this paper, a single exposure POIEH method using deep learning (DL) is proposed. The original image and corresponding encrypted hidden interferogram acquired with POIEH system are constructed to the train datasets for the learning of an end-to-end designed U-net, then the corresponding relationship between the encrypted hidden interferogram and the reconstructed image is learned and only single-frame encrypted hidden interferogram is needed to perform the reconstruction of POIEH. This method can realize real-time image encryption and hiding and high-quality decryption with only one interferogram. Simulation results and performance analysis show that the proposed method has higher security, stronger generalization ability and robustness.