Abstract
Patients’ personal information contained in medical images is easily intercepted and tampered by unauthorized persons when transmitted over the internet. Aiming at the potential information leakage, we propose a robust medical image watermarking algorithm based on discrete stationary wavelet transform and discrete cosine transform (SWT-DCT). This proposed scheme uses SWT-DCT to extract the visual feature vector of the medical image to embed and extract the watermark, and uses a chaotic map to tamper with the watermark to improve the security of watermark information, and combines the concept of zero watermark to get the watermark that can resist conventional attack and geometric attack. Experiments show that the algorithm can embed more data with lower complexity without changing the pixel value of the original image. The watermark information can also be extracted effectively with 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
References
Chen, M.Q., Niu, X.X., Yang, Y.X.: Research progress and application of digital watermarking. J. Commun. 22(5), 71–79 (2001)
Sun, S.H., Lu, Z.M.: Digital watermarking processing technology. Acta Electron. Sin. 28(8), 85–90 (2000)
Cheng, S.: Research on Digital Watermarking Algorithm for Medical Image. Nanjing university of Posts and Telecommunications
Wen, Q., Sun, T.F., Wang, S.X.: The concept of zero watermark and application. J. Electron. 31(2), 214–216 (2003)
Ye, D.P.: Zero-watermark copyright protection scheme based on binary image construction. Comput. Appl. Res. 24(8), 239–241 (2007)
Yang, Z.J.: A digital image zero watermarking algorithm based on DWT domain. Comput. Secur. 7, 47–50 (2009)
Zhao, J.: Zero-watermarking algorithm based on Contourlet transform and DCT quantization. Comput. Digit. Eng. 40(1), 111–113 (2012)
Liu, J.H., Yuan, S.W., Fan, J.L.: A digital image scrambling method based on permutation transformation. Microelectron. Comput. 27(6), 174–176 (2010)
Nason, G.P., Silverman, B.W.: The stationary wavelet transform and some statistical applications. Science 346(6212), 918–919 (1995)
Gao, Q.W., Li, H.Y., Zhuang, Z.Q., et al.: Noise elimination method of ecg signal based on stationary wavelet transform. Acta Electron. Sin. 31(2), 238–240 (2003)
Liao, X.F.: Analysis and improvement of image encryption algorithm based on logistic chaotic system. Softw. Guide 16(5), 39–41 (2017)
Yuan, L., Kang, B.S.: Image scrambling algorithm based on logistic chaotic sequence and bit exchange. Comput. Appl. 29(10), 2681–2683 (2009)
Dong, J., Li, J., Duan, Y., et al.: A robust zero-watermarking algorithm for encrypted medical images in the DWT-DCT encrypted domain. Int. J. Simul. Syst. Sci. Technol. (2016)
Acknowledgements
This work is supported by the Key Research Project of Hainan Province [ZDYF2018129], the National Natural Science Foundation of China [61762033], the National Natural Science Foundation of Hainan [617048, 2018CXTD333], and the Higher Education Research Project of Hainan Province (Hnky2019-73).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Dai, Q., Li, J., Bhatti, U.A., Chen, YW., Liu, J. (2019). SWT-DCT-Based Robust Watermarking for Medical Image. In: Chen, YW., Zimmermann, A., Howlett, R., Jain, L. (eds) Innovation in Medicine and Healthcare Systems, and Multimedia. Smart Innovation, Systems and Technologies, vol 145. Springer, Singapore. https://doi.org/10.1007/978-981-13-8566-7_9
Download citation
DOI: https://doi.org/10.1007/978-981-13-8566-7_9
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-8565-0
Online ISBN: 978-981-13-8566-7
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)