MRI Images Colorization and Encryption Using 2RGB and Chaotic Maps
DOI:
https://doi.org/10.70411/MJHAS.3.1.2026247Keywords:
MRI images, Medical image, Encryption, Chaotic encryption algorithm, 2RGB, Color medical imageAbstract
This research focuses on the encryption and decryption of MRI images, comparing greyscale and colorized versions to evaluate both security and visual quality. The study uses MATLAB for implementation and analyses encryption performance through metrics such as NPCR (Number of Pixels Change Rate), UACI (Unified Average Changing Intensity), PSNR (Peak Signal-to-Noise Ratio), and SNR (Signal-to-Noise Ratio).
Key findings include: high encryption effectiveness, with NPCR values near 0.97 indicating that almost all pixels were altered; uniform histogram distribution in encrypted images, ensuring security by removing identifiable patterns; low pixel correlation in encrypted images, demonstrating strong resistance to statistical attacks; successful decryption, with restored images closely matching the originals (high PSNR values); and the finding that colorization does not weaken encryption, maintaining security while improving visual interpretability.
The study confirms that the proposed encryption method is secure, efficient, and suitable for medical imaging, ensuring both data protection and recoverability.
References
Ahmed, S. T., Hammood, D. A., Chisab, R. F., Al-Naji, A., & Chahl, J. (2023). Medical image encryption: a comprehensive review. Computers, 12(8), 160.
Al-Haidari, H. A., & Al-khafaji, K. H. (2024). Studying the Effect of the Primary Coefficients (X, U) of the Logistic Chaotic Encryption Algorithm Equation on the Performance of X-Ray Medical Image Encryption. Sebha University Conference Proceedings,
Al-Khafaji, K. H., & Sahib, H. A. (2024). Designing a Digital System for Enhancing, Coloring, Encryption and Decryption of X-ray Medical Image. 2024 15th International Conference on Information and Communication Systems (ICICS),
Albermani, M. J., Al-Hilo, E. M., & Al-khafaji, K. H. (2022). Color Image Encryption and Decryption by Using Optical Scanning Cryptography Method. International Conference on Emerging Technologies and Intelligent Systems,
Albermani, M. J., Al-Hilo, E. M., & Al-Khafaji, K. H. (2023). Comparative between encryption and decryption of (binary, gray& color) images using optical scanning cryptography. AIP Conference Proceedings,
Geetha, S., Punithavathi, P., Infanteena, A. M., & Sindhu, S. S. S. (2018). A literature review on image encryption techniques. International Journal of Information Security and Privacy (IJISP), 12(3), 42-83.
Gonzalez, R. C. (2009). Digital image processing. Pearson education india.
Kamal, S. T., Hosny, K. M., Elgindy, T. M., Darwish, M. M., & Fouda, M. M. (2021). A new image encryption algorithm for grey and color medical images. Ieee Access, 9, 37855-37865.
Kaur, M., Singh, S., & Kaur, M. (2021). Computational image encryption techniques: a comprehensive review. Mathematical Problems in Engineering, 2021(1), 5012496.
Mohanty, S. P. (2015). Nanoelectronic mixed-signal system design. McGraw-Hill Education New York.
Odeh, A., & Al-Haija, Q. A. (2023). Medical image encryption techniques: a technical survey and potential challenges. no. January, 3170-3177.
Pankaj, S., & Dua, M. (2024). Chaos based medical image encryption techniques: A comprehensive review and analysis. Information Security Journal: A Global Perspective, 33(3), 332-358.
Pareek, N. K., Patidar, V., & Sud, K. K. (2006). Image encryption using chaotic logistic map. Image and vision computing, 24(9), 926-934.
Pavithra, V., & Jeyamala, C. (2018). A survey on the techniques of medical image encryption. 2018 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC),
Seeli, D. J. J., & Thanammal, K. (2025). A comparative review and analysis of medical image encryption and compression techniques. Multimedia Tools and Applications, 84(8), 4457-4473.
Sokouti, M., Zakerolhosseini, A., & Sokouti, B. (2016). Medical image encryption: an application for improved padding based GGH encryption algorithm. The open medical informatics journal, 10, 11.
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