Abstract
In this paper, we propose a novel fragile block based medical image watermarking technique to produce high quality watermarked medical images, verify the integrity of ROI, accurately detect the tampered blocks inside ROI using both average and variance and recover the original ROI without loss. In the proposed technique, the medical image is segmented into three sets of pixels: ROI, Region of Non Interest (RONI) and border pixels. Later, authentication data along with ROI information is embedded inside border. ROI recovery data is embedded inside RONI. Results of experiments disclose that proposed method produced high quality watermarked medical images, identified the presence of tampers inside ROI with 100% accuracy and recovered the original ROI without any loss.
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References
Coatrieux, G., Montagner, J., Huang, H.: Ch. Roux.: Mixed reversible and RONI watermarking for medical image reliability protection. In: 29th IEEE International Conference of EMBS, pp. 5653–5656. IEEE Press, Lyon (2007)
Zain, J.M., Fauzi, A.R.M.: Medical image watermarking with tamper detection and recovery. In: Proceedings of the 28th IEEE EMBS Annual International Conference, pp. 3270–3273. IEEE Press, New York (2006)
Liew, S.C., Zain, J.M.: Reversible medical image watermarking for tamper detection and recovery. In: 3rd IEEE International Conference on Computer Science and Information Technology (ICCSIT), pp. 417–420. IEEE Press, Chengdu (2010)
Liew, S.C., Zain, J.M.: Reversible medical image watermarking for tamper detection and recovery with Run Length Encoding compression. World Academy of Science, Engineering and Technology, 799–803 (2010)
Agung, T., AdiWijaya, B.W., Fermana, F.B.: Medical image watermarking with tamper detection and recovery using reversible watermarking with LSB modification and Run Length Encoding compression. In: IEEE International Conference on Communication, Networks and Satellite, pp. 167–171. IEEE Press, Bali (2012)
Wu, J.H.K., Chang, R.-F., Chen, C.-J., Wang, C.-L., Kuo, T.-H., Moon, W.K., Chen, D.-R.: Tamper detection and recovery for medical images using near-lossless information hiding technique. Journal of Digital Imaging 21, 59–76 (2008)
Chiang, K.-H., Chang-Chien, K.-C., Chang, R.-F., Yen, H.-Y.: Tamper detection and restoring system for medical images using wavelet-based reversible data embedding. Journal of Digital Imaging 21, 77–90 (2008)
Al-Qershi, O.M., Khoo, B.E.: Authentication and data hiding using a reversible ROI-based watermarking scheme for DICOM images. In: Proceedings of International Conference on Medical Systems Engineering (ICMSE), pp. 829–834 (2009)
Deng, X., Chen, Z., Zeng, F., Zhang, Y., Mao, Y.: Authentication and recovery of medical diagnostic image using dual reversible digital watermarking. Journal of Nanoscience and Nanotechnology 13(3), 2099–2107 (2013)
Al-Qershi, O.M., Khoo, B.E.: ROI-based tamper detection and recovery for medical images using reversible watermarking technique. In: International Conference on Information Theory and Information Security (ICITIS), pp. 151–155 (2010)
Luo, X., Cheng, Q., Tan, J.: A lossless data embedding scheme for medical images in application of e-Diagnosis. In: Proceedings of the 25th Annual International Conference of the IEEE EMBS, pp. 852–855 (2003)
Eggers, J.J., Bauml, R., Tzschoppe, R., Girod, B.: Scalar SOSTA scheme for information hiding. IEEE Transactions on Signal Processing 151(4), 1003–1019 (2003)
Memon, N.A., Gilani, S.A.M.: NROI watermarking of medical images for content authentication. In: Poceedings of 12th IEEE International Mutitopic Conference (INMIC 2008), Karachi, Pakistan, pp. 106–110 (2008)
Giakoumaki, Pavlopulos, S., Koutouris, D.: Multiple image watermaking applied to health information management. IEEE Transactions on Information Technology and Biomedicine 10(4), 722–732 (2006)
Memon, N.A., Chaudhry, A., Ahmad, M.: Hybrid watermarking of medical images for ROI authentication and recovery. International Journal of Computer Mathematics 88(10), 2057–2071 (2011)
Al-Qershi, O.M., Khoo, B.E.: Authentication and data hiding using a hybrid ROI-based watermarking scheme for DICOM images. Journal of Digital Imaging 24(1), 114–125 (2011)
Lei, B., Tan, E.-L., Chen, S., Ni, D., Wang, T., Lei, H.: Reversible watermarking scheme for medical image based on differential evolution. Expert Systems with Applications 41, 3178–3188 (2014)
Nyeem, H., Boles, W., Boyd, C.: Ultilizing least significant bit-planes of RONI pixels for medical image watermarking. In: International Conference on Digital Image Computing: Techniques and Applications (DICTA), pp. 1–8. IEEE Press, Hobart (2013)
Kim, K.-S., Lee, M.-J., Lee, J.-W., Oh, T.-W., Lee, H.-Y.: Region-based tampering detection and recovery using homogeneity analysis in quality-sensitive imaging. Computer Vision and Image Understanding 115, 1308–1323 (2011)
Tan, C.K., Ng, J.C., Xu, X., Poh, C.L., Guan, Y.L., Sheah, K.: Security Protection of DICOM Medical Images Using Dual-Layer Reversible Watermarking with Tamper Detection Capability. Journal of Digital Imaging 24(3), 528–540 (2011)
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Eswaraiah, R., Reddy, E.S. (2015). A Novel Fragile Medical Image Watermarking Technique for Tamper Detection and Recovery Using Variance. In: Satapathy, S., Biswal, B., Udgata, S., Mandal, J. (eds) Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014. Advances in Intelligent Systems and Computing, vol 328. Springer, Cham. https://doi.org/10.1007/978-3-319-12012-6_27
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DOI: https://doi.org/10.1007/978-3-319-12012-6_27
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-12011-9
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