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A Fractional Fourier Based Medical Image Authentication Approach

Fayez Alqahtani1,*, Mohammed Amoon2,3, Walid El-Shafai4

1 Department of Software Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, 11451, Saudi Arabia
2 Department of Computer Science, Community College, King Saud University, Riyadh, 11437, Saudi Arabia
3 Department of Computer Science and Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Egypt
4 Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Egypt

* Corresponding Author: Fayez Alqahtani. Email: email

Computers, Materials & Continua 2022, 70(2), 3133-3150. https://doi.org/10.32604/cmc.2022.020454

Abstract

Patient medical information in all forms is crucial to keep private and secure, particularly when medical data communication occurs through insecure channels. Therefore, there is a bad need for protecting and securing the color medical images against impostors and invaders. In this paper, an optical medical image security approach is introduced. It is based on the optical bit-plane Jigsaw Transform (JT) and Fractional Fourier Transform (FFT). Different kernels with a lone lens and a single arbitrary phase code are exploited in this security approach. A preceding bit-plane scrambling process is conducted on the input color medical images prior to the JT and FFT processes to accomplish a tremendous level of robustness and security. To confirm the efficiency of the suggested security approach for secure color medical image communication, various assessments on different color medical images are examined based on different statistical security metrics. Furthermore, a comparative analysis is introduced between the suggested security approach and other conventional cryptography protocols. The simulation outcomes acquired for performance assessment demonstrate that the suggested security approach is highly secure. It has excellent encryption/decryption performance and superior security results compared to conventional cryptography approaches with achieving recommended values of average entropy and correlation coefficient of 7.63 and 0.0103 for encrypted images.

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APA Style
Alqahtani, F., Amoon, M., El-Shafai, W. (2022). A fractional fourier based medical image authentication approach. Computers, Materials & Continua, 70(2), 3133-3150. https://doi.org/10.32604/cmc.2022.020454
Vancouver Style
Alqahtani F, Amoon M, El-Shafai W. A fractional fourier based medical image authentication approach. Comput Mater Contin. 2022;70(2):3133-3150 https://doi.org/10.32604/cmc.2022.020454
IEEE Style
F. Alqahtani, M. Amoon, and W. El-Shafai "A Fractional Fourier Based Medical Image Authentication Approach," Comput. Mater. Contin., vol. 70, no. 2, pp. 3133-3150. 2022. https://doi.org/10.32604/cmc.2022.020454

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cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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