Abstract
To ensure the safety of medical images and patient information, this paper proposes a robust algorithm based on encrypted medical images. Firstly, the medical image is encrypted by combining DWT-DCT and tent mapping. Then, the features of the encrypted medical image are extracted by DWT-Gabor transform. Finally, the scrambled watermark is embedded into the encrypted medical image combined with zero watermark technology. Experiments show that the algorithm in this paper has good robustness and invisibility, and can resist a certain degree of conventional attacks and geometric attacks, especially against the translation and crop attacks.
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
Memon, N.A., Alzahrani, A.: Prediction-based reversible watermarking of CT scan images for content authentication and copyright protection. IEEE Access. pp. 1–1 (2020). https://doi.org/10.1109/ACCESS.2020.2989175
Hurrah, N.N., Parah, S.A., Loan, N.A., Sheikh, J.A., Elhoseny, M., Muhammad, K.: Dual watermarking framework for privacy protection and content authentication of multimedia. Futur. Gener. Comput. Syst. 94, 654–673 (2019). https://doi.org/10.1016/j.future.2018.12.036
Singh, A.K., Thakur, S., Jolfaei, A., Srivastava, G., Mohan, A.: Joint encryption and compression-based watermarking technique for security of digital documents. ACM Trans. Internet Technol. 21, 1–20 (2021). https://doi.org/10.1145/3414474
Yang, Z.D., Jing, L.U., Wang, K.Q., Liu, S.L., Guo, Y.X.: Application of digital watermarking technology in electric power information security. (2016)
Singh, A.K., Kumar, B., Singh, G., Mohan, A.: Medical image watermarking. Multimedia Syst. Appl. (2017) https://doi.org/10.1007/978-3-319-57699-2
Nyeem, H., Boles, W., Boyd, C.: A Review of medical image watermarking requirements for teleradiology. J. Digit. Imaging 26, 326–343 (2013). https://doi.org/10.1007/s10278-012-9527-x
Eswaraiah, R., Reddy, E.S.: A fragile ROI-based medical image watermarking technique with tamper detection and recovery. In: Fourth International Conference on Communication Systems & Network Technologies (2014). https://doi.org/10.1109/CSNT.2014.184
Fares, K., Khaldi, A., Redouane, K., Salah, E.: DCT & DWT based watermarking scheme for medical information security. Biomed. Signal Process. Control 66, 102403 (2021). https://doi.org/10.1016/j.bspc.2020.102403
Zermi, N.N., Amine, K., Redouane, K., Fares, K., Salah, E.: A DWT-SVD based robust digital watermarking for medical image security. Forensic Sci. Int. 110691 (2021). https://doi.org/10.1016/j.forsciint.2021.110691
Kim, M., Lauter, K.: Private genome analysis through homomorphic encryption. BMC Med. Inform. Decis. Mak. 15, S3–S3 (2015). https://doi.org/10.1186/1472-6947-15-s5-s3
Tong, X.J., Zhu, W., Miao, Z., Yang, L.: A new algorithm of the combination of image compression and encryption technology based on cross chaotic map. Nonlinear Dyn. 72, 229–241 (2013). https://doi.org/10.1007/s11071-012-0707-5
Miao, S., Li, J., Dong, C., Yong, B.: The encrypted watermarking for medical image based on arnold scrambling and DWT. J. Converg. Inf. Technol. (2013). https://doi.org/10.4156/jcit.vol8.issue5.104
Rajagopalan, S., Janakiraman, S., Rengarajan, A.: Medical image encryption. (2019)
Chiun, L.C., Mandangan, A., Daud, A., Che, H., Che, H.: Image encryption and decryption by using Logistic-Sine Chaotic system and Logistic-Tent Chaotic system. In: 4th International Conference on Mathematical Sciences (2017). https://doi.org/10.1063/1.4980898
Zhang, Q., Li, H., Li, M., Ding, L.: Feature extraction of face image based on LBP and 2-D Gabor wavelet transform. Math. Biosci. Eng. 17, 1578–1592 (2020). https://doi.org/10.3934/mbe.2020082
Li, H.-A., Fan, J., Zhang, J., Li, Z., Zhang, Y.: Facial image segmentation based on Gabor filter. Math. Probl. Eng. 2021, 1–7 (2021). https://doi.org/10.1155/2021/6620742
Manjunath, B.S., Ma, W.Y.: Texture features for browsing and retrieving of large image data. IEEE Trans. Pattern Anal. Mach. Intell. 33, 117–128 (2011). https://doi.org/10.1109/34.531803
Wei, K., Zhang, M.: An efficient image watermarking scheme based on real-valued discrete Gabor transform. (2015)
Juck-Sik, L.: Blind digital image watermarking methods based on QIM. J. Korean Inst. Inf. Technol. 15, 107–115 (2017). https://doi.org/10.14801/jkiit.2017.15.9.107
Fan, D., Li, Y., Gao, S., Chi, W., Lv, C.: A novel zero watermark optimization algorithm based on Gabor transform and discrete cosine transform. Concurrency Comput. Pract. Experience (2020). https://doi.org/10.1002/cpe.5689
Acknowledgements
This work was supported in part by the Natural Science Foundation of China under Grant 62063004 and 61762033, in part by the Hainan Provincial Natural Science Foundation of China under Grant 2019RC018 and 619QN246, by the Postdoctoral Science Foundation under Grant 2020TQ0293, by the Science and Technology Research Project of Chongqing Education Commission Under Grant KJQN201800442, and by the General Project of Chongqing Natural Science Foundation Under Grant cstc2020jcyj-msxmX0422).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Xiao, X. et al. (2021). Robust Zero Watermarking Algorithm for Encrypted Medical Images Based on DWT-Gabor. In: Chen, YW., Tanaka, S., Howlett, R.J., Jain, L.C. (eds) Innovation in Medicine and Healthcare. Smart Innovation, Systems and Technologies, vol 242. Springer, Singapore. https://doi.org/10.1007/978-981-16-3013-2_7
Download citation
DOI: https://doi.org/10.1007/978-981-16-3013-2_7
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-3012-5
Online ISBN: 978-981-16-3013-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)