A novel watermarking scheme for medical image using support vector machine and lifting wavelet transform

Digital image watermarking has become a valuable tool for preventing unauthorized use and alteration of digital images due to technological advancements. A fundamental difficulty in digital image watermarking is to provide resilience against geometrical assault while retaining a sufficient degree of imperceptibility and security. This study presents an efficient authentication scheme for digital image watermarking on medical images benefiting from both techniques: Support Vector Machine (SVM) and Lifting Wavelet Transform (LWT). In this article, we use two strategies, where SVM is used first to separate the Region of Interest (ROI) from the Non-Region of Interest (NROI) in the medical image. Then LWT is applied to embed watermark information within the NROI part of the medical image (Cover Image). Moreover, we have applied a shared secret key to enhancing the robustness of the proposed scheme. The method is tested on an extensive image database to see how it performs under different situations. The research looked into the various experimental analyses to establish the acceptability of the existing scheme. The simulation is performed to measure the imperceptibility and robustness using various evaluation metrics.