Abstract
This paper presents a new robust and secure digital watermarking scheme for its potential application in Telemedicine. The algorithm embeds medical text watermarks such as patient’s identity, image identity code and doctor’s identity into selected sub-band discrete wavelet transform (DWT) coefficients of the cover medical image using spread-spectrum technique. In the embedding process, the cover image is decomposed up to third level DWT coefficients. Three different text watermarks are embedded into the selected horizontal and vertical sub band DWT coefficients of the first, second and third level respectively. Selection of these coefficients for embedding purpose is based on threshold criteria defined in this paper. Robustness of the proposed watermarking scheme is further enhanced by applying error correcting code to the ASCII representation of the text watermark and the encoded text watermark is finally embedded into the cover medical image. It is found that the proposed scheme correctly extracts the embedded watermarks without error and provides high degree robustness against numerous known attacks while maintaining the imperceptibility of watermarked image.
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Mostafa SAK, El-sheimy N, Tolba AS, Abdelkader FM, Elhindy HM (2010) Wavelet packets-based blind watermarking for medical image management. Open Biomed Eng J 4:93–98
Chao HM, Hsu CM, Miaou SG (2002) A data-hiding technique with authentication, integration, and confidentiality for electronic patient records. IEEE Trans Inf Technol Biomed 6(1):46–53
Acharya UR, Anand D, Bhat PS, Niranjan UC (2001) Compact storage of medical images with patient information. IEEE Trans Inf Technol Biomed 5(4):320–323
Coatrieux G, Lecornu L, Roux Ch, Sankur B (2006) A review of image watermarking applications in healthcare. IEEE Eng Med Biol Soc 1:4691–4694
Giakoumaki A, Pavlopoulos S, Koutsouris D (2004) A medical image watermarking scheme based on wavelet transform, Proceedings 25th Annual International Conference of IEEE-EMBS, San Francisco, p 1541–1544
Giakoumaki A, Pavlopoulos S, Koutsouris D (2006) Secure and efficient health data management through multiple watermarking on medical images. Med Biol Eng & Comput 44:619–631
Giakoumaki A, Pavlopoulos S, Koutsouris D (2006) Multiple image watermarking applied to health information management. IEEE Trans Inf Technol Biomed 10:722–732
Kumar B, Singh HV, Singh SP, Mohan A (2011) Secure spread-spectrum watermarking for telemedicine applications. J Inf Secur 2:91–98
Mohanty SP (1999) Watermarking of digital images, M. S. Thesis, Indian Institute of Science, India
Wolak MC (2000) Digital watermarking. Preliminary proposal. Nova Southeastern University, United States
Nikolaidis N, Pitas I (1999) Digital image watermarking: an overview. IEEE Int Conf Multimed Comput Syst 1:1–6
Cox IJ, Miller ML (2002) The first 50 years of electronic watermarking (EURASIP). J Appl Signal Process 2002:126–132
Meerwald P, Uhl A (2001) Survey of wavelet-domain watermarking algorithms. In: Proceedings of the SPIE security and watermarking of multimedia contents, San Jose, p 505–516
Hajjara S, Abdallah M, Hudaib A (2009) Digital image watermarking using localized biorthogonal wavelets. Eur J Sci Res 26(4):594–608
AH Paquet, RK Ward (2002) Wavelet-based digital watermarking for authentication. In: Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, Winnipeg 2, 879–884
Feng JB, Lin IC, Tsai CS, Chu YP (2006) Reversible watermarking: current and key issues. Int J Netw Secur 2(3):161–170
Lee S, Chang CD, Kalker T (2007) Reversible image watermarking based on integer-to-integer wavelet transform. In: IEEE Transaction on Information Forensics and Security 2(3):330–321
Terry M (2009) Medical identity theft and telemedicine security. Telemed e-Health 15(10)
Dan B (2012) http://www.fiercehealthit.com/story/researchers-use-digital-watermarks-protect-medical-images
Ollove M (2014) www.usatoday.com/story/.../stateline-identity-thefts-medical.../5279351
Kumar B, Anand A, Singh SP, Mohan A (2011) High capacity spread-spectrum watermarking for telemedicine applications, World Acad Sci Eng Technol 79
Cox IJ, Kilian J, Leighton FT, Shamoon T (1997) Secure spread spectrum watermarking for multimedia. IEEE Trans Image Process 6(12):1673–1687
Malvar HS, Florencio DAF (2003) Improved spread spectrum: a new modilation technique for robust watermarking. IEEE Trans Signal Process 51(4):898–905
Perez-Freire L, Perez-Gonzalez F (2009) Spread-spectrum watermarking security. IEEE Trans Inf Forensics Secur 4(1):2–24
Xuan G, Yang C, Zheng Y, Shi YQ, Ni Z (2004) Reversible data hiding based on wavelet spread spectrum, IEEE International workshop on multimedia signal processing (MMSP2004), Siena, Italy, 211–214
Kumar B, Kumar SB, Chauhan DS (2014) Wavelet based imperceptible medical image watermarking using spread-spectrum, 37th International Conference on telecommunications and signal processing, Berlin Germany, 660–664
Umaamaheshvari A, Thanushkodi K (2014) Image security through watermarking. J Med Imaging Health Inf 4:277–284
Dharwadkar NV, Amberker BB (2012) Secured and distortion less gray-scale medical image watermarking scheme. J Med Imaging Health Inf 2:250–256
Venkatram N, Reddy LSS, Kishore PVV (2014) Multiresolution medical image watermarking for telemedicine applications. CiiT Int J Digit Image Process 6:6
Hajjaji MA, Bourennane El-B, Ben Abdelali A, Mtibaa A (2014) Combining Haar wavelet and Karhunen Loeve transforms for medical images watermarking. BioMed Res Int 2014:1–15
Singh AK, Kumar B, Dave M, Mohan A Multiple watermarking on medical images using selective dwt coefficients, J Med Imaging Health Inf, American Scientific Publisher, USA, 2014 (Accepted)
Singh AK, Dave M, Mohan A (2013) A hybrid algorithm for image watermarking against signal processing attack. S Ramanna et al. (Eds.) Proceedings of 7th Multi-disciplinary international workshop in artificial intelligence, Krabi-Thailand, Lecture Notes in Computer Science (LNCS) 8271:235–246
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Singh, A.K., Kumar, B., Dave, M. et al. Robust and Imperceptible Spread-Spectrum Watermarking for Telemedicine Applications. Proc. Natl. Acad. Sci., India, Sect. A Phys. Sci. 85, 295–301 (2015). https://doi.org/10.1007/s40010-014-0197-6
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DOI: https://doi.org/10.1007/s40010-014-0197-6