ABSTRACT
During the COVID-19 pandemic, transmission and sharing of electronic health records (EPR) was encouraged for better diagnosis and treatment accuracy. However, the issues of data exposure, ownership conflicts, and security of these records have attracted more attention from the healthcare research community. To provide better diagnosis accuracy, this chapter presents fusion-based robust and secure watermarking techniques suitable for healthcare applications. Initially, CT scan and MRI images are fused using Non-Subsampled Contourlet Transform (NSCT) based fusion to generate the final fused watermark for better diagnosis accuracy. Then, the combination of NSCT, Hessenberg Decomposition, and Multiresolution Singular Value Decomposition (MSVD) is employed to conceal the fused watermark into the carrier media. Finally, upgraded stereo image encryption is utilized to encrypt the marked image, which is useful for enhancing the security of the media data. The experimental and comparative analysis indicate improved robustness, visual quality, and security of the proposed watermarking technique, with high suitability for healthcare applications.
