ArticleEntropy (Basel, Switzerland)2021
Visual Secure Image Encryption Scheme Based on Compressed Sensing and Regional Energy.
Article in Entropy (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- A visually secure image encryption method based on semi-tensor product compressed sensing and IWT-HD-SVD embedding.Heliyon · 2023Article
- Research on Improved DNA Coding and Multidirectional Diffusion Image Encryption Algorithm.Entropy (Basel, Switzerland) · 2023Article
- An Image Encryption Algorithm Based on Complex Network Scrambling and Multi-Directional Diffusion.Entropy (Basel, Switzerland) · 2022Article
- Image Encryption Scheme Based on Multiscale Block Compressed Sensing and Markov Model.Entropy (Basel, Switzerland) · 2021Article
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Authors and funding
5 authors.
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Abstract
The network security transmission of digital images needs to solve the dual security problems of content and appearance. In this paper, a visually secure image compression and encryption scheme is proposed by combining compressed sensing (CS) and regional energy. The plain image is compressed and encrypted into a secret image by CS and zigzag confusion. Then, according to the regional energy, the secret image is embedded into a carrier image to obtain the final visual secure cipher image. A method of hour hand printing (HHP) scrambling is proposed to increase the pixel irrelevance. Regional energy embedding reduce the damage to the visual quality of carrier image, and the different embedding positions between images greatly enhances the security of the encryption algorithm. Furthermore, the hyperchaotic multi-character system (MCS) is utilized to construct measurement matrix and control pixels. Simulation results and security analyses demonstrate the effectiveness, security and robustness of the propose algorithm.
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