A novel convolution kernel-based robust watermarking scheme applied in medical image

Abstract

When the existing digital watermarking algorithm is applied to the medical image, the watermark embedded in the Region of Interest (ROI) will change the properties of the original medical image, causing misdiagnosis. To solve these problems, a robust watermarking method for medical images based on feature extraction of convolution kernels is proposed in this paper. First, the embedded watermark is encrypted by logistic mapping to improve the security of the transmission of patients' personal information on the internet. Then, the convolution kernels are used to perform feature extraction on the original medical image to increase the algorithm's ability to resist geometric attacks. Finally, the zero-watermarking technology is used to organically combine the watermark and the medical image to prevent the region of interest of the medical image from being damaged by the watermark. Experimental results show that the algorithm has good performance on security and robustness.