Multi-Image Compression-Encryption Algorithm Based on Compressed Sensing and Optical Encryption

Entropy (Basel). 2022 Jun 2;24(6):784. doi: 10.3390/e24060784.

Abstract

In order to achieve large-capacity, fast and secure image transmission, a multi-image compression-encryption algorithm based on two-dimensional compressed sensing (2D CS) and optical encryption is proposed in this paper. Firstly, the paper uses compressed sensing to compress and encrypt multiple images simultaneously, and design a new structured measurement matrix. Subsequently, double random phase encoding based on the multi-parameter fractional quaternion Fourier transform is used to encrypt the multiple images for secondary encryption, which improves the security performance of the images. Moreover, a fractional-order chaotic system with more complex chaotic behavior is constructed for image compression and encryption. Experimental results show that the algorithm has strong robustness and security.

Keywords: compressed sensing; double random phase encoding; fractional-order chaotic system; image compression.