Compression-Encryption Based Efficient Dual Image Watermarking for e-Healthcare Applications

The requirement to protect the authenticity and accuracy of images motivates the implementation of water-marking on these images. Any alteration or interference with medical images might lead to erroneous diagnosis or treatment, as these images are vital for diagnosing and tracking diseases. Moreover, these photographs are regularly transmitted across the internet, increasing the potential for unauthorized access and alteration. Therefore, medical image watermarking is essential to safeguard the reliability and accuracy of these medical images in research and clinical environments. This paper presents a framework of a highly safe and reliable dual watermarking technique that utilizes the NSST-Radon transform to improve medical data security. The ultimate watermarked image is created by incorporating fingerprint and patient information into a medical image, resulting in dual watermarking. After embedding, the final watermarked image is compressed and encrypted to add a security layer. Moreover, our approach uses the best scaling factor to manage the robustness and imperceptibility tradeoffs. The experimental results indicate that the suggested approach demonstrates exceptional overall performance, a high level of imperceptibility, and resilience. The proposed scheme uses dual watermarking to safeguard original medical and non-medical images. The experimental and comparison results show that this strategy produces superior results with remarkable resilience, invisibility, and capacity.