ABSTRACT
The proposed method focuses on utilizing the image watermarking technique to improve the security of medical data. Today, the volume of medical data is drastically increasing due to the unavoidable pandemic situation. The proposed scheme uses the properties of lifting wavelet transform (LWT), QR decomposition, Hénon map (HM), and chaotic encryption. The first watermark is the image of the cameraman, and the second watermark contains the patient’s Hénon map information. BRISK (Binary robust invariant scalable keypoints) features are used for authentication. The DICOM (Digital Imaging and Communications in Medicine) ultrasound image of liver is used as the host image. The input image is passed through the LWT to split into sub-bands. Two different sub-bands are used for dual watermarking. The diagonal components of the upper triangular matrix of QR decomposition are used for embedding. The watermarked image is encrypted through chaotic encryption. Peak signal to noise ratio (PSNR), Normalized correlation coefficient (NCC), Kullback-Leibler (KL), and Jensen-Shannon (JS) distances are used as the performance parameters. The results of the proposed technique shows that it has higher robustness and imperceptibility, and also that authentication using the BRISK feature is done successfully.
