SRA: A sine-based reconstruction approach to improve 2D chaotic map performance
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Chaotic systems are highly sensitive to initial conditions and exhibit pseudo-random behavior, making them well-suited for creating confusion and diffusion in image data.
“Chaotic systems are highly sensitive to initial conditions and exhibit pseudo-random behavior, making them well-suited for creating confusion and diffusion in image data.”
From Hyperchaotic fractional-order image encryption with Knight’s tour scrambling for satellite imagery (2026) · cites this paper as [9]
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- Authors
- Ding, S., Wang, X., Zhu, P., Erkan, U., Toktas, A., Li, Q., Mou, J., & Gao, S.
- Affiliations
- Dalian Polytechnic University (CN)
- Jinan University (CN)
- Ankara University (TR)
- Qilu University of Technology (CN)
- Corresponding author
- Li, Qi
- Gao, Suo
- Venue
- The European Physical Journal Plus
- Published
- 2026-02-19
- Volume
- 141
- Issue
- 2
- ISSN
- 2190-5444 (ISSN-L)
- OpenAlex
- W7130513190
- Cited by
- 40
- References
- 47
- Citations by year
- 2026: 40
- FWCI
- 112.50
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- The European Physical Journal Plus (publishedVersion)
- Funders
- Taishan Scholars Program of Shandong Province (tsqnz20250747)
- National Natural Science Foundation of China (62502250, 62571079)
- Liaoning Provincial Science and Technology Plan Joint Project (2025-BSLH-041)
- Technological innovation projects in the field of artificial intelligence in Liaoning province (2023JH26/10300011)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Chaos-based Image/Signal Encryption
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Chaos control and synchronization
- Physical Sciences › Mathematics › Mathematical Physics › Mathematical Dynamics and Fractals
- Keywords
- 2D chaotic map, image encryption, nonlinear transformation, Henon map, random sequence generation
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