College of Medical Informatics, Chongqing Medical University, Chongqing, China.
College of Intelligent Technology and Engineering, Chongqing University of Science and Technology, Chongqing, China.
J Healthc Eng. 2021 Jul 1;2021:5551520. doi: 10.1155/2021/5551520. eCollection 2021.
Aiming at the security issues in the storage and transmission of medical images in the medical information system, combined with the special requirements of medical images for the protection of lesion areas, this paper proposes a robust zero-watermarking algorithm for medical images' security based on VGG19. First, the pretrained VGG19 is used to extract deep feature maps of medical images, which are fused into the feature image. Second, the feature image is transformed by Fourier transform, and low-frequency coefficients of the Fourier transform are selected to construct the feature matrix of the medical image. Then, based on the low-frequency part of the feature matrix of the medical image, the mean-perceptual hashing algorithm is used to achieve a set of 64-bit binary perceptual hashing values, which can effectively resist local nonlinear geometric attacks. Finally, the algorithm adopts a watermarking image after scrambling and the 64-bit binary perceptual hashing value to obtain robust zero-watermarking. At the same time, the proposed algorithm utilizes Hermite chaotic neural network to scramble the watermarking image for secondary protection, which enhances the security of the algorithm. Compared with the existing related works, the proposed algorithm is simple to implement and can effectively resist local nonlinear geometric attacks, with good robustness, security, and invisibility.
针对医疗信息系统中医学图像存储和传输的安全问题，结合医学图像对病变区域保护的特殊要求，本文提出了一种基于 VGG19 的医学图像安全鲁棒零水印算法。首先，利用预训练的 VGG19 提取医学图像的深度特征图，将其融合到特征图像中。其次，对特征图像进行傅里叶变换，选择傅里叶变换的低频系数构建医学图像的特征矩阵。然后，基于医学图像特征矩阵的低频部分，采用均值感知哈希算法得到一组 64 位二进制感知哈希值，能够有效抵抗局部非线性几何攻击。最后，该算法采用置乱后的水印图像和 64 位二进制感知哈希值来获取鲁棒零水印。同时，该算法利用 Hermite 混沌神经网络对水印图像进行二次保护，提高了算法的安全性。与现有的相关工作相比，该算法实现简单，能够有效抵抗局部非线性几何攻击，具有良好的鲁棒性、安全性和不可见性。
