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Cited by 17Chaos-based Image/Signal EncryptionAdvanced Data Compression TechniquesComputer Science and Engineering

A chaos-based image compression and encryption scheme using fractal coding and adaptive-thresholding sparsification

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Wang, Jiaqi, Zhang, Miao, Tong, Xiaojun, Wang, Zhu·2022·Physica Scripta
DOI 10.1088/1402-4896/ac8b41
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Abstract

With the wide application of digital images in the network, the problems of information security and transmission efficiency need to be solved urgently. Fractal encoding as an efficient compression method, its security is not guaranteed. To solve these problems, this paper proposes a new image compression and encryption scheme based on chaotic map and frequency division joint compression coding, which uses the combination of fractal encoding and adaptive-thresholding sparsification to compress images. Arnold scrambling and chaos-based plane scrambling diffusion are embedded in two compression processes respectively. In addition, an efficient encryption algorithm is designed based on the coupling-enhanced chaotic map, which encrypt the compressed data as a whole through simultaneous scrambling of parent blocks and sub-blocks and zigzag round-trip diffusion. The simulation results demonstrate that the proposed image compression and encryption scheme is suitable for gray and color images, and can achieve higher compression ratio and improve the efficiency of fractal compression. The designed encryption algorithm is reliable, and more efficient than several advanced image encryption schemes.

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Cited by

Sorted by citations

Authors
Wang, J., Zhang, M., Tong, X., & Wang, Z.
Affiliations
Harbin Institute of Technology (CN)
Corresponding author
Zhang, Miao
ORCID
Venue
Physica Scripta
Publisher
IOP Publishing
Published
2022-08-30
Volume
97
Issue
10
Pages
105201
ISSN
  • 0031-8949 (ISSN-L)
  • 1402-4896
DOI
10.1088/1402-4896/ac8b41
OpenAlex
W4293717812
Cited by
17
References
3
Citations by year
2026: 2 · 2025: 1 · 2024: 6 · 2023: 8
FWCI
1.23
Type
journal article
Language
en
Open access
Licence
Locations
Physica Scripta (publishedVersion)
Funders
  • Central University Basic Research Fund of China (HIT.NSRIF.2020098)
  • National Natural Science Foundation of China (61902091)
  • Natural Science Foundation of Shandong Province (ZR2019MF054)
  • National Key R&D Program of China (2021YFB2012400)
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 compression, image encryption, fractal coding, chaos-based cryptography, chaotic maps, Arnold scrambling, block scrambling, image security

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