计算机工程2025，Vol.51Issue(5)：279-287,9.DOI:10.19678/j.issn.1000-3428.0068995
面向弥散张量图像的鲁棒可逆水印算法
Robust Reversible Watermarking Algorithm for Diffusion Tensor Images
摘要
Abstract
Diffusion Tensor Imaging(DTI)is a commonly used nuclear magnetic resonance imaging technology.To protect the copyright of diffusion tensor images and ensure the integrity of diffusion tensor data,a two-stage robust reversible watermarking algorithm based on the Riemann metric is proposed.To avoid errors in conventional Euclidean operations in tensor space,the diffusion tensor is mapped from manifold space to logarithmic Euclidean space through logarithmic Euclidean transformation,and the features of the diffusion tensor image are extracted and embedded with watermark information using a deep learning model.Subsequently,combined with the reversible watermarking algorithm,a high-quality diffusion tensor image is restored after embedding the robust watermark.Experimental results show that the algorithm can resist various attacks,such as clipping,rotation,and Gaussian noise attacks.Further,the dispersion tensor error recovered by the algorithm is less than 2 × 10-8,and the Peak Signal-to-Noise Ratio(PSNR)is 21％higher than that of the VSTNet algorithm.关键词
鲁棒水印/可逆水印/弥散张量图像/黎曼度量/深度学习Key words
robust watermark/reversible watermark/diffusion tensor image/Riemannian metric/deep learning分类
信息技术与安全科学引用本文复制引用
李丹丹,李智,郑龙,张丽..面向弥散张量图像的鲁棒可逆水印算法[J].计算机工程,2025,51(5):279-287,9.基金项目
国家自然科学基金(62062023). （62062023）
