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Research Article |

Robust medical image watermarking in frequency domain

Author(s): Roop Singh* , Pavan Kumar Shukla, Tarun Kumar and Vinod M Kapse

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 11, Issue 3

Publisher : FOREX Publication

Published : 28 September 2023

e-ISSN : 2347-470X

Page(s) : 859-865

DOI: https://doi.org/10.37391/ijeer.110333

Abstract

Protecting patient information in medical image watermarking poses a significant challenge, especially when traditional methods like the Arnold transform prove inadequate in ensuring security. This paper introduces a novel approach within the Discrete Wavelet Transform (DWT) domain to address this issue effectively. By employing the Advanced Encryption Standard (AES), the security and robustness of the system are greatly enhanced through the encryption of both the medical image and patient data. The encrypted medical image undergoes a 2-level DWT process, allowing the concealment of encrypted patient information while maintaining its invisibility. This proposed scheme surpasses others in experimental evaluations, as evidenced by metrics such as PSNR and NC, solidifying its position as a more secure choice for medical image watermarking. The results validate the scheme’s robustness and imperceptibility.

Keywords: Medical watermarking, Discrete Wavelet Transform, Advanced Encryption Standard, Arnold Transform, Security.




Roop Singh*, Department of Electronics and Communication Engineering, Noida Institute of Engineering & Technology, Gr. Noida, UP, India; Email: roopsolanki@gmail.com

Pavan Kumar Shukla, Department of Electronics and Communication Engineering, Noida Institute of Engineering & Technology, Gr. Noida, UP, India; Email: pavanfec@gmail.com

Tarun Kumar, School of Computing Science & Engineering, Galgotias University, Gr. Noida, UP, India; Email: tarunsharma2910@gmail.com

Vinod M Kapse, Department of Electronics and Communication Engineering, Noida Institute of Engineering & Technology, Gr. Noida, UP, India; Email: vinodmkapse@gmail.com

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Roop Singh, Pavan Kumar Shukla, Tarun Kumar, and Vinod M Kapse (2023), Robust medical image watermarking in frequency domain. IJEER 11(3), 859-865. DOI: 10.37391/ijeer.110333.