Abstract
Telemedicine is a renowned application, where huge amount of medical data ought to be transported secretly over the open network and operate effectively. Therefore, watermarking is a suitable scheme for enhancing security and authentication of medical data, which is essential for diagnosis and can be used as further reference. Digital watermark methods are applied in numerous areas such as owner identification, copyright safety, broadcast monitoring and in handling medical data. This paper incorporates the detailed study of watermarking as well as proposed a robust and secure model for data embedding in medical image. This paper also discussed several telemedicine applications.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsChange history
21 November 2019
In the original version of the book, the following belated correction has been incorporated: The affiliation of Ankur Rai has been changed from “Kamla Nehru Institute of Technology, Sultanpur 228118, India” to “Assistant Professor, Electronics and Communication Engineering, Invertis University, Bareilly 243123, Uttar Pradesh, India”. The erratum chapter and the book have been updated with the change.
References
Chao, H.M., Hsu, C.M., MiaouS, G.: An authentication data based method with n, incorporation, and concealment for electronic patient records. IEEE Int. Evid. Knowl. Biomed. 7(2), 46–53 (2002). https://doi.org/10.1109/4233.992161
Rai, A., Singh, H.V.: SVM based robust watermarking for enhanced medical image security. Multimed. Tools Appl., 1–14 (2017). https://doi.org/10.1007/s11042-016-4215-3
Rong, Z., Keng, P.: Watermarks medicinal indications for telemedicine. IEEE Commun. Evid. Expert. Med. 6(4), 185–212 (2011). https://doi.org/10.1101/4234.945292
Rai, A., Singh, H.V.: Machine learning-based robust watermarking technique for medical image transmitted over LTE network. J. Intell. Syst. 27(1), 105–114 (2017). ISSN (Online): 2191-026X; ISSN (Print): 0334-1860, https://doi.org/10.1515/jisys-2017-0068
Kumar, B., Singh, H.V., Singh, S.M., Mohan, K.: Protected extended-spectrum embedding for telemedical submissions. Sci. Res. J. Inf. Secur. 2, 91–98 (2011). https://doi.org/10.4236/jis.2011.22009
Schyndel, R.G., Tirkel, A., Osborne, C.F.: A Digital Watermark, Reports of the 4th Discussion on Image Processing, ICIP-1994, pp. 86–90 (1994)
Cox, I., Miller, M., Bloom, J., Fridrich, J., Kalker, T.: Digital Watermarking and Steganography, 2nd edn. ISBN: 978-0123725851
Brancock, E., Meeks, M., Harrmison, R.: Processer discipline subdivision Indigo State University steganography with wavelets: easiness leads to Robustness. Southeast on, IEEE, pp. 588–593, 4–7 (2009)
Bouridane, G., Ibrahim, M.K.: Digital video watermarking based on unbalanced multilevel wavelets. IEEE Oper. Signal Dispens. 54(4), 1519–1536 (2006)
Cox, I.J., Miller, M.L., Bloom, J.A.: Digital Watermarking, Morgan Kaufmann (2001)
Poldar, V.M., Han, S., Ching, E.: A review of digital video watermarking procedures. In: 4th IEEE Global consultation on Industrial Informatics (INDIN) (2005)
Kakarala, R., Ogunbona, P.O.: Signal investigation using a multidimensional form of the singular values decomposition. IEEE Trans. Image Process. 10, 724–735 (2001)
Chang, C.C., Tsai, P., Lin, C.C.: SVD-based digital video watermarking model. Pattern Recognit. Lett. 26, 1577–1586 (2005)
Singh, A.K., Dave, M., Mohan, A.: Multilevel encrypted text watermarking on medical images using spread-spectrum in DWT domain. Wirel. Pers. Commun. (2015)
Singh, H.V., Gangwar, S.P., Yadav, R.: Study and analysis of wavelet based image compression techniques. Int. J. Eng. Sci. Technol. 4, 1–7 (2012)
Giakoumaki, A., Pavlopoulos, S., Koutsouris, D.: A medical image watermarking scheme based on wavelet transform. In: Proceedings of the 25th Annual International Conference of the IEEE-EMBS, Cancun, Mexico, pp. 856–859 (2003)
Singh, H.V., Gangwar, S.P., Yadav, R.: Emerging trends in transformed based image compression-a review. Int. J. Inf. Sci. Appl. 2, 591–595 (2010)
Zhou, Z., Tang, B., Liu, X.: A block svd based image watermarking method. In: Proceedings of the 6th World Congress on Intelligent Control and Automation, Dalian, China (2006)
Giakoumaki, A., Pavlopoulos, S., Koutsouris, D.: Multiple image watermarking applied to health information management. IEEE Trans. Inf. Technol. Biomed. 10(4) (2006)
Hyung, K.L., Hee, J.K., Ki, R.K., Jong, K.L.: ROI medical image watermarking using dwt and bit-plane. In: Asia-Pacific Conference, Communications, pp. 512–515 (2005)
Singh, A.K., Kumar, B., Dave, M., Mohan, A.: Multiple watermarking on medical images using selective discrete wavelet transform coefficients. J. Med. Imaging Health Inf. 5, 607–614 (2015)
Chiang, K.H., Chien, K.C.C., Chang, R.F., Yen, H.Y.: Tamper detection and restoring system for medical images using wavelet-based reversible data embedding. J. Digit. Imaging 21, 77–90 (2008)
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 and Network Technologies (2014)
Lai, C.C., Tsai, C.C.: Digital image watermarking using discrete wavelet transform and singular value decomposition. IEEE Trans. Instrum. Meas. 59(11) (2010)
Sharma, A., Singh, A.K., Ghrera, S.P.: Robust and secure multiple watermarking for medical images. Wirel. Person. Commun.; Podilchuk, C.I., Delp, E.J.: Digital watermarking: algorithms and applications. IEEE Ind. Dispens. Mag. 33–46 (2016)
https://in.mathworks.com/company/newsletters/articles/accessing-data-in-dicom-files.html
Acknowledgements
The proposed scheme has been tested on a gray scale medical image of size 256×256 accessed and taken from MathWorks DICOM image [26] which are freely available for researchers to access and use.
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
Singh, H.V., Rai, A. (2019). Medical Image Watermarking in Transform Domain. In: Tiwari, S., Trivedi, M., Mishra, K., Misra, A., Kumar, K. (eds) Smart Innovations in Communication and Computational Sciences. Advances in Intelligent Systems and Computing, vol 851. Springer, Singapore. https://doi.org/10.1007/978-981-13-2414-7_45
Download citation
DOI: https://doi.org/10.1007/978-981-13-2414-7_45
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-2413-0
Online ISBN: 978-981-13-2414-7
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)