Abstract
Due to rapid development in the field of computer networks, exchange of medical records over the Internet has become common practice now-a-days. Medical records, which contain patient information and medical images, are exchanged among medical personnel for number of reasons. Discussing diagnostic and therapeutic measures is one of the main reasons of this exchange. Since patients are highly sensitive about their medical information; therefore these images require strict security. To achieve this stringent requirement digital image watermarking provides a good solution. In this paper, we present a prediction-based reversible medical image watermarking (MIW) system, which is comprised of two phases: embedding phase and extraction phase. In embedding phase, the proposed system, first divides the cover image in region of interest (ROI) and region of non-interest (RONI). Later it embeds a fragile watermark (FW) in ROI for achieving integrity control of ROI and a robust watermark (RW) in RONI for achieving security and authenticity of medical image. In extraction phase, the implanted watermarks are extracted first and then are compared with their reference watermarks to verify the integrity, security and confidentiality of the received image. We have used CT scan medical images for simulations. Experimental results show that proposed system provides better security and confidentiality for safe transfer of CT scan medical images. In addition, proposed system also outperforms the other reversible MIW techniques, which are currently reported in literature.
Keywords
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Jamali, M., Samavi, S., Karimi, N., Soroushmehr, S.M.R., Ward, K. Najarian, K.: Robust watermarking in non-ROI of medical images based on DCT-DWT. In: 38th IEEE Annual International Conference on Engineering in Medicine and Biology Society (EMBC), Orlando, FL, USA, pp. 1200–1203 (2016)
Abbasi, F., Memon, N.A.: Reversible watermarking for security of medical image databases. In: 21st Saudi Computer Society National Computer Conference (CNN), Riyadh, Kingdom of Saudi Arabia (2018)
Memon, N.A., Chaudhary, A., Ahmad, M., Keerio, Z.A.: Hybrid watermarking of medical images for ROI authentication and recovery. Int. J. Comput. Math. 88(10), 2057–2071 (2011)
Rahman, A., Sultan, K., Aldhafferi, N., Alqahtani, A., Mahmud, M.: Reversible and fragile watermarking for medical images. Comput. Math. Methods Med. 2018, 7 (2018)
Qasim, A.F., Aspin, R., Meziane, F.: ROI-based reversible watermarking scheme for ensuring the integrity and authenticity of DICOM MR images. Multimedia Tools Appl. 78, 16433–16463 (2018)
Mousavi, S.M., Naghsh, A., Abu-Bakar, S.A.R.: Watermarking techniques used in medical images: a survey. J. Digit. Imaging 27, 714–729 (2014)
Parah, S.A., Ahad, F., Shaikh, J.A., Bhat, G.M.: Hiding clinical information in medical images: a new high capacity and reversible data hiding technique. J. Biomed. Inform. 66(2017), 214–230 (2017)
Alsaade, F., Bhuiyan, A.: Digital watermarking for medical diagnosis. J. Appl. Sci. 15(8), 1112–1119 (2015)
Liew, S.-C., Zain, J.M.: Reversible medical image watermarking for tamper detection and recovery with Run Length Encoding compression. In: International Conference on Computer Science and Information Technology (ICCSIT 2010), pp. 417–420 (2010)
Zain, J.M., Fauzi, A.R.M.: Medical image watermarking with tamper detection and recovery. In: Proceedings of the 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2006), pp. 3270–3273 (2006)
Tjokorda Agung, B.W., Permana, F.P.: Medical image watermarking with tamper detection and recovery using reversible watermarking with LSB modification and run length encoding (RLE) compression. In: Proceedings of the IEEE International Conference on Communication, Networks and Satellite (ComNetSat 2012), Bali, Indonesia, pp. 167–171 (2012)
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 (ICEMSE 2009), 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. J. Nanosci. Nanotechnol. 13(3), 2099–2107 (2013)
Tseng, H.W., Hsieh, C.P.: Prediction-based reversible data-hiding. J. Inform. Sci. 179(14), 2460–2469 (2010)
Abokhdair, N.O., Manaf, A.A.: A prediction-based reversible watermarking for MRI images. Int. J. Comput. Electr. Autom. Control Inf. Eng. 7(2), 328–331 (2013)
Lee, C.-F., Chen, H.-L., Tso, H.-K.: Embedding capacity rasing in reversible data hiding based on prediction of difference expansion. J. Syst. Softw. 83, 1864–1872 (2010)
Memon, N.A., Keerio, Z.A., Abbasi, F.: Dual watermarking of CT scan medical images for content authentication and copyright protection. In: Shaikh, F.K., Chaudhary, B.S. (eds.) Communication Technologies, Information Security and Sustainable Development, IMTIC 2013. CCIS, vol. 14, pp. 73–183. Springer, Cham (2014)
Navas, K.A., Sasikumar, M.: Survey of medical image watermarking algorithms. In: Proceedings of the 4th International Conference on Sciences of Electronic Technologies of Informations and Telecommunications, pp. 1–6 (2007)
Acknowledgment
The authors are very grateful to College of Computer Science and Information Technology (CCSIT), King Faisal University, Saudi Arabia for providing the resources to carry out this research.
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Memon, N.A., Ahmed, S. (2020). Prediction-Based Reversible Watermarking for Safe Transfer of CT Scan Medical Images. In: Arai, K., Bhatia, R., Kapoor, S. (eds) Proceedings of the Future Technologies Conference (FTC) 2019. FTC 2019. Advances in Intelligent Systems and Computing, vol 1069. Springer, Cham. https://doi.org/10.1007/978-3-030-32520-6_54
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DOI: https://doi.org/10.1007/978-3-030-32520-6_54
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