Abstract
Digital watermarking technology is a good way to solve the problem of image information security. However, in previous studies, watermark is encrypted, but the host image is not encrypted, which causes the leakage of the private information of the images themselves. When the carrier image is a medical image, more attention should be paid. Therefore, a new robust zero-watermarking algorithm based on Bandelet-DCT (Bandelet Transform and Discrete Cosine Transform) for medical image in the encryption domain of DWT-DCT (Discrete Wavelet Transform and Discrete Cosine Transform) is proposed. Firstly, the original medical image is encrypted in a transform domain based on a Logistic chaotic map to enhance the security of the original medical image. Then Bandelet-DCT is applied to extract the feature sequences of encrypted medical images which were preprocessed by SIFT (Scale Invariant Feature Transform). In the stage of watermarking embedding and extraction, zero-watermarking technology is implemented to ensure that the region of interest of the medical image remains unchanged, and evaluate the robustness of the algorithm through the correlation coefficient between the original watermark and the attacked watermark. Experimental results show that the proposed algorithm has strong robustness and can effectively solve the problem of information leakage. It has a strong anti-attack ability, good robustness, and certain application prospects.
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
Ustubioglu, A., Ulutas, G.: A New Medical image watermarking technique with finer tamper localization. J. Digit. Imaging 30, 665–680 (2017)
Liu, Y., Li, J., Liu, J., Cheng, J., Liu, J., Wang, L., Bai, X.: Robust encrypted watermarking for medical images based on DWT-DCT and tent mapping in encrypted domain. pp. 584–596. Springer International Publishing, Cham (2019)
Avudaiappan, T., Balasubramanian, R., Pandiyan, S.S., Saravanan, M., Lakshmanaprabu, S.K., Shankar, K.: Medical image security using dual encryption with oppositional based optimization algorithm. J Med. Syst. 42, 208 (2018)
Liu, J., Li, J., Zhang, K., Bhatti, U.A., Ai, Y.: Zero-watermarking algorithm for medical images based on dual-tree complex wavelet transform and discrete cosine transform. J. Med. Imag. Health. 9, 188–194 (2019)
Coatrieux, G., Maitre, H., Sankur, B., Rolland, Y., Collorec, R.: Relevance of watermarking in medical imaging. 250–255. IEEE (2000)
Sharma, A., Singh, A.K., Ghrera, S.P.: Robust and Secure Multiple Watermarking for Medical Images. Wireless Pers. Commun. 92, 1611–1624 (2017)
Nematzadeh, H., Enayatifar, R., Motameni, H., Guimarães, F.G., Coelho, V.N.: Medical image encryption using a hybrid model of modified genetic algorithm and coupled map lattices. Opt. Laser. Eng. 110, 24–32 (2018)
Mehto, A., Mehra, N.: Adaptive lossless medical image watermarking algorithm based on DCT & DWT. Procedia Comput. Sci. 78, 88–94 (2016)
Kim, D., Son, Y., Kim, D., Kim, A., Hong, S., Cheon, J.H.: Privacy-preserving approximate GWAS computation based on homomorphic encryption. BMC Med. Genomics 13, (2020)
Park, J., Kim, D.S., Lim, H.: Privacy-preserving reinforcement learning using Homomorphic encryption in cloud computing infrastructures. IEEE Access 8, 203564–203579 (2020)
Kim, T., Oh, Y., Kim, H.: Efficient privacy-preserving fingerprint-based authentication system using fully Homomorphic encryption. Secur. Commun. Netw. 2020, 1–11 (2020)
Xiong, L., Xu, Z., Shi, Y.: An integer wavelet transform based scheme for reversible data hiding in encrypted images. Multidim. Syst. Sign. P. 29, 1191–1202 (2017)
Bouslimi, D., Bellafqira, R., Coatrieux, G.: Data hiding in homomorphically encrypted medical images for verifying their reliability in both encrypted and spatial domains. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. 2016, 2496–2499 (2016)
Ismail, S.M., Said, L.A., Radwan, A.G., Madian, A.H., Abu, M.F.: Generalized double-humped logistic map-based medical image encryption. J. Adv. Res. 10, 85–98 (2018)
LOWE, D.G.: Distinctive image features from scale-invariant keypoints. Int. J. Comput. 91–110, (2004)
Peyré, G., Mallat, S.: Discrete bandelets with geometric orthogonal filters. IEEE Int. Conf. Image Process. (2009)
Kalra, G.S., Talwar, R., Sadawarti, H.: Robust blind digital image watermarking using DWT and dual encryption technique. 225–230. IEEE (2011)
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
Corresponding author
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
Fang, Y. et al. (2021). A Novel Robust Watermarking Algorithm for Encrypted Medical Image Based on Bandelet-DCT. 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_6
Download citation
DOI: https://doi.org/10.1007/978-981-16-3013-2_6
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)