Research on Color Image Encryption Algorithm Based on Bit-Plane and Chen Chaotic System
Open accessAbstract
In response to the problems of high complexity and the large amount of operations of existing color image encryption algorithms, a low-complexity, low-operation color image encryption algorithm based on a combination of bit-plane and chaotic systems is proposed that is interrelated with plaintext information. Firstly, three channels of an RGB image are extracted, and the gray value of each pixel channel can be expressed by an eight-bit binary number. The higher- and lower-four bits of the binary gray value of each pixel are exchanged, and the position of each four-bit binary number is scrambled by a logistic chaotic sequence, and all the four-bit binary numbers are converted into hexadecimal numbers to reduce the computational complexity. Next, the position of the transformed image is scrambled by a logistic chaotic sequence. Then, the Chen chaos sequence is used to permute the gray pixel values of the permuted image. Finally, the gray value of the encrypted image is converted into a decimal number to form a single-channel encrypted image, and the three-channel encrypted image is synthesized into an encrypted color image. Through MATLAB simulation experiments, a security analysis of encryption effects in terms of a histogram, correlation, a differential attack, and information entropy is performed. The results show that the algorithm has a better encryption effect and is resistant to differential attacks.
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In Xu and Zhao's color bitplane image-encryption algorithm, relating the initial chaotic-system parameters for each channel to plaintext information from the current and the other two channels enlarged the key space.
“The initial parameters of the chaotic system used in the encryption process of each channel in the color image are related to the plaintext information of the current channel and the other two channels, which made the key space larger.”
From Chaos-Based Image Encryption: Review, Application, and Challenges (2023) · cites this paper as [74]
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- Authors
- Xu, J., Zhao, B., & Wu, Z.
- Affiliations
- Heilongjiang University (CN)
- Corresponding author
- Zhao, Bing
- Venue
- Entropy
- Publisher
- MDPI AG
- Published
- 2022-01-26
- Volume
- 24
- Issue
- 2
- Pages
- 186
- ISSN
- 1099-4300 (ISSN-L)
- PMC
- PMC8871326
- OpenAlex
- W4210481214
- Cited by
- 53
- References
- 30
- Citations by year
- 2026: 8 · 2025: 16 · 2024: 9 · 2023: 12 · 2022: 8
- FWCI
- 3.68
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Entropy (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Natural Science Foundation of China (61801173)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Chaos-based Image/Signal Encryption
- Physical Sciences › Computer Science › Artificial Intelligence › Computer Science and Engineering
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Steganography and Watermarking Techniques
- Keywords
- color image encryption, Chen chaotic system, logistic map, lightweight encryption, differential attack resistance, Shannon entropy
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