Abstract
The rapid development of the information age of big data has promoted the development of traditional medicine and online diagnosis, as well as aroused concerns about the privacy of patient information. Aiming at the hidden dangers of copying, cutting, tampering, etc. in the dissemination of medical images, combined with the characteristics of medical images, this paper proposed a novel zero-watermarking algorithm based on Tetrolet-DCT, focusing on how to improve its security. Logistic map chaotic encryption is performed on the watermark, the Tetrolet-DCT transform is used to extract the visual feature of medical image, and the watermark information is embedded and extracted by combining the zero-watermarking technology. Experimental data show that the algorithm proposed in this paper can effectively extract the watermark without any changing of the medical image, and has a higher NC value under conventional attacks and geometric attacks. it has better invisibility and robustness.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Parah, S.A., Sheikh, J.A., Ahad, F., Loan, N.A., Bhat, G.M.: Information hiding in medical images: a robust medical image watermarking system for E-healthcare. Multimedia Tools Appl. 76(8), 10599–10633 (2015). https://doi.org/10.1007/s11042-015-3127-y
Nyeem, H., Boles, W., Boyd, C.: A Review of Medical Image Watermarking Requirements for Teleradiology. J. Digit. Imaging 26, 326–343 (2013)
Ya-Kun, W.U., Chun-Hong, D.I.: A survey of digital watermarking techniques. J. Liaoning Univ. (Natural ences Edition) 37, 202–206 (2010)
Balasamy, K., Ramakrishnan, S.: An intelligent reversible watermarking system for authenticating medical images using Wavelet and PSO. Clust. Comput. 22(2), 4431–4442 (2018). https://doi.org/10.1007/s10586-018-1991-8
Guihua, X.: Research on the Key Technologies of Digital Watermarking., Vol. Doctor. 132. Nanjing University of Aeronautics and Astronautics (2009)
Analysis, I.-S.: Cai-Lian L, J.S.Y.K. Natural Science J. Hainan University 29, 275–283 (2011)
Krommweh, J.: Tetrolet transform: A new adaptive Haar wavelet algorithm for sparse image representation. J VIS COMMUN IMAGE R 21, 364–374 (2010)
Hung-Jui, K., Cheng-Ta, H., Gwoboa, H., Shiuh-Jeng, W.: Robust and blind image watermarking in DCT domain using inter-block coefficient correlation. INFORM Sci. 517 (2020)
Xu, Z., Xuan, Y.: Image watermarking algorithm based on DCT and Arnold transform. Int. J. Reasoning-Based Intell. Syst. 9 (2017)
Xu, Z.J., Wang, Z.Z., Lu, Q.: Research on image watermarking algorithm based on DCT. Procedia Environ. Sci. 10, 1129–1135 (2011)
Mastan Vali, S.K., Naga Kishore, K.L., Prathibha, G.: Notice of retraction robust image watermarking using tetrolet transform, pp. 1–5. IEEE (2015)
Zhang, D.X., Xun, L.N., Liu, K.F., et al.: Research on Stationary Tetrolet Transform Algorithm. Zidonghua Xuebao/Acta Automatica Sinica 44, 2041–2055 (2018)
Muhammad, F.K., Syed, M.G.M., Imran, N.: A novel zero-watermarking based scheme for copyright protection of grayscale images. Mehran Univ. Res. J. Eng. Technol. 38 (2019)
Zhang, S., Zhang, H.: Research on zero watermarking algorithm for hyper-chaos-based image. Appl. Res. Compu. 36 (2019)
Domain, J., Li, J., Duan, Y., Guo, Z.: A robust zero-watermarking algorithm for encrypted medical images in the DWT-DCT encrypted domain. Int. J. Simul. Syst. Sci. Tech. (2016)
Acknowledgement
This work was supported in part by the Hainan Provincial Natural Science Foundation of China under Grant 2019RC018 and by the Natural Science Foundation of China under Grant 62063004 and 61762033, in part by the Hainan Provincial. Higher Education Research Project under Grant Hnky2019-73, and in part by the Key Research Project of Haikou College of Economics under Grant HJKZ18-01.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Cui, W. et al. (2021). A Robust Zero Watermarking Algorithm for Medical Images Based on Tetrolet-DCT. In: Cheng, J., Tang, X., Liu, X. (eds) Cyberspace Safety and Security. CSS 2020. Lecture Notes in Computer Science(), vol 12653. Springer, Cham. https://doi.org/10.1007/978-3-030-73671-2_11
Download citation
DOI: https://doi.org/10.1007/978-3-030-73671-2_11
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-73670-5
Online ISBN: 978-3-030-73671-2
eBook Packages: Computer ScienceComputer Science (R0)