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Multi-Image Compression-Encryption Algorithm Based on Compressed Sensing and Optical Encryption
Jingjin Wei1, Miao Zhang1, Xiaojun Tong1
1Computer Science and Technology, Harbin Institute of Technology, Weihai 264200, China.
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.
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