Comparative Analysis of Watermarking Methods for DICOM Images: DWT and SVD vs. Traditional Techniques
Prof. Saurabh VermaV, Prof. Abhiskek Patel, Mohit Dhanwani, Sarthak Jagwani · International Journal of Innovative Research in Computer and Communication Engineering · 2023
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.