ArticleEntropy (Basel, Switzerland)2022
Multi-Image Compression-Encryption Algorithm Based on Compressed Sensing and Optical Encryption.
Article in Entropy (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- A Novel One-Dimensional Chaotic System for Image Encryption in Network Transmission Through Base64 Encoding.Entropy (Basel, Switzerland) · 2025Article
- A Secure Image Encryption Scheme Based on a New Hyperchaotic System and 2D Compressed Sensing.Entropy (Basel, Switzerland) · 2024Article
- Image-Compression Techniques: Classical and "Region-of-Interest-Based" Approaches Presented in Recent Papers.Sensors (Basel, Switzerland) · 2024Review
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Authors and funding
3 authors.
Funding
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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Registered trials
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