Image compression-encryption algorithm based on 2D compressive sensing and double random phase encoding
Jinlong Liu, Miao Zhang, Xiaojun Tong, Zhu Wang · Journal of Physics Conference Series · 2020
In this paper, an image compression and encryption algorithm based on 2D compressive sensing and double random phase encoding is proposed. Compared with traditional encryption algorithms, 2D compressive sensing can realize image compression and encryption at the same time, with high execution efficiency. Double random phase encoding can not only realize image encryption fast, but also has robustness. Moreover, combining 2D compressive sensing with double random phase encoding can obtain better encryption security. Simulation results show that this algorithm has better image compression performance, and can ensure security and robustness.