Comparative Analysis of Watermarking Methods for DICOM Images: DWT and SVD vs. Traditional Techniques

Prof. Saurabh VermaV; Prof. Abhiskek Patel; Mohit Dhanwani; Sarthak Jagwani

doi:10.15680/IJIRCCE.2023.1103113

Prof. Saurabh VermaV Assistant Professor, Badreia Global Institute of Engineering & Management, Jabalpur, M.P, India
Prof. Abhiskek Patel Assistant Professor, Badreia Global Institute of Engineering & Management, Jabalpur, M.P, India
Mohit Dhanwani 4th Sem B. Tech, Department of IT, Badreia Global Institute of Engineering & Management, Jabalpur, M.P, India
Sarthak Jagwani 4th Sem B. Tech, Department of IT, Badreia Global Institute of Engineering & Management, Jabalpur, M.P, India

DOI: https://doi.org/10.15680/IJIRCCE.2023.1103113

Keywords: DICOM images, watermarking, Discrete Wavelet Transform (DWT), Singular Value Decomposition (SVD), robustness, imperceptibility, computational performance.

Abstract

Digital Imaging and Communications in Medicine (DICOM) images play a critical role in healthcare, necessitating robust methods for ensuring their integrity and authenticity. This research paper evaluates the effectiveness and efficiency of watermarking techniques applied to DICOM images, with a specific emphasis on comparing Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) approaches against traditional methods. The study examines three key criteria-robustness against attacks, imperceptibility to maintain diagnostic integrity, and computational performance-aiming to provide insights into the suitability of these techniques for protecting medical data. Results indicate significant differences in performance metrics, highlighting both strengths and limitations of each approach in the context of medical image watermarking.