ArticleiScience2024
Image encryption hiding algorithm based on digital time-varying delay chaos model and compression sensing technique.
Article in iScience, 2024. 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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Who cites it
3 citing papers in PubMed.
- Image Encryption Algorithm Based on a Novel 2D Folded Sine-Logistic Map and Concentric-Ring Model.Entropy (Basel, Switzerland) · 2026Article
- Multi-chaotic signal identification employing a causal cross-correlation neural network.iScience · 2026Article
- Implementation of Chaotic Synchronization and Artificial Neural Networks in Modified OTP Scheme for Image Encryption.Journal of imaging · 2025Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Most of the existing image encryption algorithms encrypt images as meaningless cryptographic images, which can easily attract the attention of attackers during transmission. To address this problem, scholars have proposed to hide the cipher image in a meaningless carrier image. However, larger carrier images are often required, which occupy more bandwidth. In order to solve this problem, this paper realizes embedding the color secret image into the carrier image whose size is equal to or even smaller than the original image by combining the chaotic compressed sensing model. First of all, the original image is sparsely processed using discrete wavelet transform. Then the time varying delay chaotic model is used to generate pseudo random sequence and then the measurement matrix is constructed to compress and encrypt the image. In the end, using singular value decomposition to achieve image embedding, the carrier image carrying information is obtained.
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Registered trials
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