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...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Entropy (Basel, Switzerland) Ročník 24; číslo 6; s. 784
Hlavní autoři: Wei, Jingjin, Zhang, Miao, Tong, Xiaojun
Médium: Journal Article
Jazyk:angličtina
Vydáno: Basel MDPI AG 02.06.2022
MDPI
Témata:
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
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí: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.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:1099-4300
1099-4300
DOI:10.3390/e24060784