Robust Watermarking Method to Secure Medical Images Applied to Ehealth
Abderrahmane Daham, Mohamed Ouslim, Yassine Hafed, Walid Djaber · 2022
This paper propose a new robust watermarking scheme for medical images using a hybrid combination of the three methods, HD (hessenberg Decomposition) and SVD (Singular value decomposition) and an original crypto system based on the Arnold Transform (AT) of Singular Value Decomposition (SVD). In order to spread the robustness of our algorithm and provide extra security, an improved SVD-AT embedding and extraction procedure has been used to scramble the watermark logo in the preprocessing step of the proposed method. In the process of watermark embedding, an R-level discrete wavelet transform was applied to the host image. The low frequency wavelet coefficients are selected to carry this scrambled-watermark. The proposed watermarking method endures entirety attacks and rightly extracts the hidden watermark without significant degradation in the image quality, thus, when the Peak Signal to Noise Ratio (PSNR) and Normalized Correlation (NC) performance of the proposed algorithm is performed.