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

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 ima...

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Veröffentlicht in:Entropy (Basel, Switzerland) Jg. 24; H. 6; S. 784
Hauptverfasser: Wei, Jingjin, Zhang, Miao, Tong, Xiaojun
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Basel MDPI AG 02.06.2022
MDPI
Schlagworte:
Algorithms
Chaos theory
compressed sensing
Compressive strength
Data encryption
double random phase encoding
Fourier transforms
fractional-order chaotic system
Image compression
Image transmission
Quaternions
Security
ISSN:1099-4300, 1099-4300
Online-Zugang:Volltext
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Zusammenfassung: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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ISSN:1099-4300
1099-4300
DOI:10.3390/e24060784