Robust medical zero‐watermarking algorithm based on Residual‐DenseNet

Author:

Gong Cheng1ORCID,Liu Jing2,Gong Ming3,Li Jingbing1ORCID,Bhatti Uzair Aslam1,Ma Jixin4

Affiliation:

1. School of Information and Communication Engineering Hainan University Haikou China

2. Research Center for Healthcare Data Science Zhejiang Lab Hangzhou China

3. School of Traffic and Transportation Nanchang JiaoTong Institute Nanchang China

4. School of Computing & Mathematical Sciences University of Greenwich London UK

Funder

Key Research and Development Project of Hainan Province

National Natural Science Foundation of China

Natural Science Foundation of Hainan Province

Zhejiang Provincial Postdoctoral Science Foundation

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Signal Processing,Software

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. ZWNet: A Deep-Learning-Powered Zero-Watermarking Scheme with High Robustness and Discriminability for Images;Applied Sciences;2024-01-03

2. A Custom GAN-Based Robust Algorithm for Medical Image Watermarking;MultiMedia Modeling;2024

3. Robust Zero-Watermarking Algorithm for Medical Images Based on Direction Gradient Histogram and DCT;2023 IEEE 6th International Conference on Pattern Recognition and Artificial Intelligence (PRAI);2023-08-18

4. Review of Image Forensic Techniques Based on Deep Learning;Mathematics;2023-07-16

5. Robust Zero-watermarking Algorithm for Medical Images Based on GFTT-KAZE and DCT;2023 26th ACIS International Winter Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD-Winter);2023-07-05

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