Title: Robust medical image watermarking technique using integer wavelet transform and shearlet transform with BSVD

Authors: Sivakannan Subramani; G. Thirugnanam; N. Prabakaran; J. Bennilo Fernandes

Addresses: Department of ECE, MVJ College of Engineering, Bangalore, Karnataka, India ' Department of EIE, Annamalai University, Chidambaram, Tamilnadu, India ' Department of ECE, Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, India ' Department of ECE, Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, India

Abstract: There is an increased usage of digital devices in healthcare services for the last few decades because of the advancements made in the medical field. The most appropriate method that is used for the enhancement of security and authentication of medical data is medical image watermarking, which is crucial and used for further diagnosis and reference. This paper focuses on medical image watermarking techniques for the protection and authentication of medical data using hybrid transforms. Several developments on wavelet transform have been proposed in the field of mathematical analysis. One of the recent extensions of wavelet is shearlet transform. A hybrid scheme using integer wavelet transform (IWT) and discrete shearlet transform (DST) is presented in this paper. The images with different textures are examined by this method and resistance is evaluated against various attacks like image processing and geometric attacks. By this proposed method, the results are produced with good transparency and high robustness.

Keywords: medical image watermarking; integer wavelet transform; IWT; discrete shearlet transform; DST; bidiagonal singular value decomposition; BSVD.

DOI: 10.1504/IJAIP.2024.136789

International Journal of Advanced Intelligence Paradigms, 2024 Vol.27 No.1, pp.72 - 81

Received: 21 Apr 2018
Accepted: 02 Jun 2018
Published online: 22 Feb 2024 *

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