An efficient chaos-based image compression and encryption scheme using block compressive sensing and elementary cellular automata
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The elementary CA and BCS-based chaotic image compression and encryption scheme [186] can transmit the image securely and simultaneously compress it on a public network because of its excellent performance.
“The scheme can transmit the image securely and simultaneously compress it on a public network because of its excellent performance.”
From Chaos-Based Image Encryption: Review, Application, and Challenges (2023) · cites this paper as [186]
The scheme [186] has a disadvantage that the entropy of information is not ideal.
“However, it has a disadvantage that the entropy of information is not ideal.”
From Chaos-Based Image Encryption: Review, Application, and Challenges (2023) · cites this paper as [186]
Cites
Color image encryption based on hybrid hyper-chaotic system and cellular automata
Yaghouti Niyat, A., Moattar, M. H., & Niazi Torshiz, M. (2017) · Optics and Lasers in Engineering · doi:10.1016/j.optlaseng.2016.10.019 · Cited by 383 · see citing works
A new hyperchaotic map and its application in an image encryption scheme
Boriga, R., Dăscălescu, A. C., & Priescu, I. (2014) · Signal Processing: Image Communication · doi:10.1016/j.image.2014.04.001 · Cited by 101 · see citing works
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Chaos-Based Image Encryption: Review, Application, and Challenges
Zhang, B., & Liu, L. (2023) · Mathematics · doi:10.3390/math11112585 · Cited by 328 · see citing works
Feng, W., He, Y., Li, H., & Li, C. (2019) · IEEE Access · doi:10.1109/access.2019.2959137 · Cited by 33 · see citing works
Dou, Y., Yue, S., Zhang, X., Fan, H., Li, M., & Zhang, M. (2025) · Nonlinear Dynamics · doi:10.1007/s11071-024-10638-3 · Cited by 15 · see citing works
- Authors
- Chai, X., Fu, X., Gan, Z., Zhang, Y., Lu, Y., & Chen, Y.
- Affiliations
- Henan University (CN)
- Deakin University (AU)
- Duke University (US)
- Corresponding author
- Lu, Yang
- Venue
- Neural Computing and Applications
- Published
- 2018-11-29
- Volume
- 32
- Issue
- 9
- Pages
- 4961-4988
- ISSN
- 0941-0643 (ISSN-L)
- 1433-3058
- OpenAlex
- W2902876973
- Cited by
- 127
- References
- 2
- Citations by year
- 2026: 4 · 2025: 11 · 2024: 24 · 2023: 24 · 2022: 24 · 2021: 22 · 2020: 16 · 2019: 2
- FWCI
- 5.00
- Type
- journal article
- Language
- en
- Open access
- green
- figshare.com
- Licence
- Locations
- Neural Computing and Applications (publishedVersion)
- Figshare (submittedVersion, cc-by)
- Funders
- National Natural Science Foundation of China (41571417, U1604145)
- National Science Foundation of the United States (CNS-1253424, ECCS-1202225)
- Science and Technology Foundation of Henan Province of China (182102210027, 182102410051)
- Postdoctoral Science Foundation of Jiangsu Province (2018T110723, 2016M602235)
- the Research Foundation of Henan University (xxjc20140006)
- Education Commission of Henan Province (19A413001)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Chaos-based Image/Signal Encryption
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Data Compression Techniques
- Physical Sciences › Computer Science › Artificial Intelligence › Computer Science and Engineering
- Keywords
- image encryption, image compression, block compressive sensing, elementary cellular automata, discrete wavelet transform, image scrambling, SHA-256, confusion and diffusion
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