DeepDual-WM: A Robust Dual Watermarking Strategy for Medical Images Using Deep Networks

The rapid rise in the amount of medical data poses a significant challenge for researchers in preventing its manipulation. To overcome this prevalent challenge in the healthcare field, this proposed work introduces a dual-image watermarking framework. This method embeds two secret images into a host image. The proposed framework uses Higher Order Singular Value Decomposition (HOSVD), Non-Subsampled Shearlet Transform (NSST), and a 12-layer deep neural network. The results indicate high imperceptibility, robustness against attacks, and superior capacity compared to existing techniques.