A Fast and Effective Watermarking Method for Medical Data security

Abstract

Personal health information is considered a target for illegal users that attempt to read, delete, and/or steal data. Therefore, watermarking techniques offer new ways to protect sensitive data transferred over the Internet. This article presents a novel watermarking approach for securing sensitive data in e-health applications based on DWT and Schur decomposition coefficients. The proposed approach aims to offer a valuable balance between robustness and imperceptibility. Several experiments were conducted using a standard dataset of medical images. The experiments achieved promising results for high-level data protection and good imperceptibility values compared to existing works.