Image encryption based on independent component analysis and arnold’s cat map
Open accessAbstract
Security of the multimedia data including image and video is one of the basic requirements for the telecommunications and computer networks. In this paper, a new efficient image encryption technique is presented. It is based on modifying the mixing matrix in Independent Component Analysis (ICA) using the chaotic Arnold’s Cat Map (ACM) for encryption. First, the mixing matrix is generated from the ACM by insert square image of any dimension. Second, the mixing process is implemented using the mixing matrix and the image sources the result is the encryption images that depend on the number of sources. Third, images decrypted using ICA algorithms. We use the Joint Approximate Diagonalization of Eigen-matrices (JADE) algorithm as a case study. The results of several experiments, PSNR, SDR and SSIM index tests compared with standard mixing matrix showed that the proposed image encryption system provided effective and safe way for image encryption.
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Test images from the SIPI and DICOM databases are standard images chosen by most existing works to evaluate image encryption algorithms.
“Test images were taken from a widely used image repository called the “SIPI image database” [32], and the “DICOM (Digital Imaging and Communications in Medicine) image database” [33], because these are the standard image chosen by most of the existing works [21,31] to evaluate the strength of image encryption algorithms.”
From Secure Image Encryption Using Chaotic, Hybrid Chaotic and Block Cipher Approach (2022) · cites this paper as [31]
The Results and discussions section describes testing the encryption method on images of several sizes, but does not identify SIPI or DICOM as their sources. Searches for “SIPI,” “DICOM,” and the assertion that most existing works choose these as standard test images found no passage addressing that assertion. (LLM, conf=0.74)
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Secure Image Encryption Using Chaotic, Hybrid Chaotic and Block Cipher Approach
Chaudhary, N., Shahi, T. B., & Neupane, A. (2022) · Journal of Imaging · doi:10.3390/jimaging8060167 · Cited by 56 · see citing works
- Authors
- Abbas, N. A.
- Affiliations
- University of Babylon (IQ)
- Corresponding author
- Abbas, Nidaa AbdulMohsin
- Venue
- Egyptian Informatics Journal
- Publisher
- Elsevier BV
- Published
- 2016-03
- Volume
- 17
- Issue
- 1
- Pages
- 139-146
- ISSN
- 1110-8665 (ISSN-L)
- OpenAlex
- W2274123855
- Cited by
- 99
- References
- 1
- Citations by year
- 2026: 7 · 2025: 7 · 2024: 7 · 2023: 13 · 2022: 13 · 2021: 16 · 2020: 12 · 2019: 7 · 2018: 10 · 2017: 5 · 2016: 2
- FWCI
- 4.92
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Egyptian Informatics Journal (publishedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- 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
- image encryption, independent component analysis, Arnold cat map, chaotic maps, mixing matrix, JADE algorithm, image decryption, multimedia security
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