Transform domain robust watermarking method using Riesz wavelet transform for medical data security and privacy

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Rapid progress of digital multimedia content has tremendously improved different forms of information and its processing. New digital technologies help to store, transmit and process the information in a quick and accurate way. However, digital data in the form of videos and images can be effortlessly manipulated and redistributed using the computers. Violation of ownership rights and verifying the integrity of the digital content can be significantly improved by the watermarking approaches. Watermarking algorithms embed additional information for verifying the authenticity and trustworthiness. Security and privacy of medical data in the form of image or other 1-D signals are of prime importance and has become an emerging area in the field of biomedical information technology. Biomedical image watermarking algorithms enable transmission of medical records and patient history in a secure way. The aim of this book chapter is to propose a new watermarking approach using a transform domain for medical image security. Riesz wavelet transform (RWT) and singular value decomposition (SVD) is employed for embedding the watermarking in the cover medical image at the transmitter side. At the receiver, the embedded information is recovered successfully using the watermarking extraction algorithm. The RWT-SVD algorithm is tested on different types of medical images like X-ray, CT scan, MRI and retinal images. The watermark is extracted at the receiver without the original image. Imperceptibility evaluation using several metrics (SNR, PSNR, WPSNR, SSIM, MSSIM, SC) shows the improved performance of the proposed approach. In addition to this, robustness analysis is also carried in terms of correlation coefficient.