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Multiresolution Medical Image Watermarking for Telemedicine Applications

N. Venkatram, Dr.L.S.S. Reddy, Dr.P.V.V. Kishore

Abstract


Medical image watermarking (MIW) has challenged researchers for over a decade now. Medical images are difficult to watermark as they contain sensitive information of a patient’s disease. During transportation through internet the medical images are subjected to various attacks. For telemedicine applications it becomes vital to prevent the authenticity regarding patient’s records. A two dimensional discrete wavelet transform based approach is designed and tested to embed a patient passport photograph into his or her medical image. This method computes 2D DWT at various levels and mixes the approximate coefficients using a wave coupling coefficient. The proposed watermarking algorithm is tested for available mother wavelets and around five levels of decomposition with multiple coupling coefficients. Peak Signal-to-Noise ratio, Minimum Mean Square Error and Normalized cross correlation coefficient are computed to identify the best wavelet and the level of decomposition that can significantly be applied to medical image watermarking. The results demonstrate that db2 at level 4 is the top performing wavelet.

Keywords


Medical Image Watermarking, 2D Discrete Wavelet Transform, Wave Coupling Coefficient, Peak Signal-To-Noise Ratio, and Minimum Mean Square Error.

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References


Cao, F., H. K. Huang, and X. Q. Zhou. "Medical image security in a HIPAA mandated PACS environment." Computerized Medical Imaging and Graphics27.2 (2003): 185-196. [2] Balado, Felix P., and Fernando Perez-Gonzalez. "Coding at the sample level for data hiding: Turbo and concatenated codes." Photonics West 2001-Electronic Imaging. International Society for Optics and Photonics, 2001. [3] Osborne, Dominic. "Embedded watermarking for image verification in telemedicine." (2005). [4] Petitcolas, Fabien AP, Ross J. Anderson, and Markus G. Kuhn. "Information hiding-a survey." Proceedings of the IEEE 87.7 (1999): 1062-1078. [5] H. C. Huang, H. M. Hang, J. S. Pan, "An Introduction to Watermarking Techniques", Series on Innovative Intelligence, H. C. Huang, H. M. Hang, L. C. Jain (Eds), World Scientific, Vol. 7, pp. 3-39, 2004. [6] Brassil, Jack T., Steven Low, and Nicholas F. Maxemchuk. "Copyright protection for the electronic distribution of text documents." Proceedings of the IEEE 87.7 (1999): 1181-1196. [7] Celik, Mehmet Utku, et al. "Reversible data hiding." Image Processing. 2002. Proceedings. 2002 International Conference on. Vol. 2. IEEE, 2002. [8] Nikolaidis, Nikos, and Ioannis Pitas. "Robust image watermarking in the spatial domain." Signal processing 66.3 (1998): 385-403. [9] Li, Li, et al. "A novel image watermarking in redistributed invariant wavelet domain." Journal of Systems and Software 84.6 (2011): 923-929. [10] Tsai, H.H., Tseng, H.C., Lai, Y.S., 2010. Robust lossless image watermarking based on alpha-trimmed mean algorithm and support vector machine. Journal of Systems and Software 83 (6), 1015–1028. [11] Lin, Ching-Yung, and Shih-Fu Chang. "Semi-fragile watermarking for authenticating JPEG visual content." PROC SPIE INT SOC OPT ENG. Vol. 3971. 2000. [12] Lin, Eugene T., and Edward J. Delp. "A review of fragile image watermarks."Proceedings of the Multimedia and Security Workshop (ACM Multimedia'99) Multimedia Contents. 1999. [13] Coatrieux, G., et al. "A review of image watermarking applications in healthcare." Engineering in Medicine and Biology Society, 2006. EMBS'06. 28th Annual International Conference of the IEEE. IEEE, 2006. [14] Coatrieux, G., et al. "Relevance of watermarking in medical imaging."Information Technology Applications in Biomedicine, 2000. Proceedings. 2000 IEEE EMBS International Conference on. IEEE, 2000. [15] Giakoumaki, Aggeliki, Sotiris Pavlopoulos, and Dimitris Koutsouris. "Multiple image watermarking applied to health information management." Information Technology in Biomedicine, IEEE Transactions on 10.4 (2006): 722-732. [16] Giakoumaki, A., S. Pavlopoulos, and D. Koutouris. "A medical image watermarking scheme based on wavelet transform." Engineering in medicine and biology society, 2003. Proceedings of the 25th annual international conference of the IEEE. Vol. 1. IEEE, 2003. [17] Wakatani, Akiyoshi. "Digital watermarking for ROI medical images by using compressed signature image." System Sciences, 2002. HICSS. Proceedings of the 35th Annual Hawaii International Conference on. IEEE, 2002. [18] Irany, Behrang Mehrbany, Xin Cindy Guo, and Dimitrios Hatzinakos. "A high capacity reversible multiple watermarking scheme for medical images." Digital Signal Processing (DSP), 2011 17th International Conference on. IEEE, 2011. [19] Lou, Der-Chyuan, Ming-Chiang Hu, and Jiang-Lung Liu. "Multiple layer data hiding scheme for medical images." Computer Standards & Interfaces 31.2 (2009): 329-335. [20] Tai, Wei-Liang, Chia-Ming Yeh, and Chin-Chen Chang. "Reversible data hiding based on histogram modification of pixel differences." Circuits and Systems for Video Technology, IEEE Transactions on 19.6 (2009): 906-910. [21] Memon, Nisar Ahmed, and S. A. M. Gilani. "NROI watermarking of medical images for content authentication." Multitopic Conference, 2008. INMIC 2008. IEEE International. IEEE, 2008. [22] Dey, Nilanjan, Moumita Pal, and Achintya Das. "A Session Based Blind Watermarking Technique within the NROI of Retinal Fundus Images for Authentication Using DWT, Spread Spectrum and Harris Corner Detection."arXiv preprint arXiv:1209.0053 (2012). [23] Phadikar, Amit, and Santi P. Maity. "ROI Based Error Concealment of Object Based Image Using Data Hiding in JPEG 2000 Coding Pipeline." India Conference (INDICON), 2009 Annual IEEE. IEEE, 2009. [24] Brar, Amrinder Singh, and Mandeep Kaur. "A Survey of Reversible Watermarking Techniques for Data Hiding with ROI-Tamper Detection in Medical Images." Mobile Communication and Power Engineering. Springer Berlin Heidelberg, 2013. 516-522. [25] Umaamaheshvari, A., K. Prabhakaran, and K. Thanushkodi. "Biogeography for Watermarking Medical Images." [26] Lavanya, A., and V. Natarajan. "Watermarking patient data in encrypted medical images." Sadhana 37.Part 6 (2012). [27] Potdar, Vidyasagar M., Song Han, and Elizabeth Chang. "A survey of digital image watermarking techniques." Industrial Informatics, 2005. INDIN'05. 2005 3rd IEEE International Conference on. IEEE, 2005.

D. Osborne, D. Rogers, J. Mazumdar, R. Coutts, D. Abbott, "An Overview of Wavelets for Image Processing for Wireless Applications", Proceedings of SPIE: Smart Structures, Devices and Systems, University of Melbourne, Australia, Vol. 4935, pp,427-435, 2002.

Kishore, P. V. V., and P. Rajesh Kumar. "A Video Based Indian Sign Language Recognition System (INSLR) Using Wavelet Transform and Fuzzy Logic."IACSIT International Journal of Engineering and Technology 4.5 (2012). [30] Kishore, P. V. V., et al. "Video Audio Interface for Recognizing Gestures of Indian Sign." International Journal of Image Processing (IJIP) 5.4 (2011): 479.

Allen, David M. "Mean square error of prediction as a criterion for selecting variables." Technometrics 13.3 (1971): 469-475. [32] Kim, Kyung Hwan, and Sung June Kim. "A wavelet-based method for action potential detection from extracellular neural signal recording with low signal-to-noise ratio." Biomedical Engineering, IEEE Transactions on 50.8 (2003): 999-1011.

J Jiang, A Armstrong, “Data hiding approach for efficient image indexing”, Electronics letters. 7th, 38(23), pp. 1424-1425, 2002.


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