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CSMI-AW: Computational System for Medical Image Authentication Using Watermarking

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Software Engineering Application in Informatics (CoMeSySo 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 232))

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Abstract

The enormous growth of digital data in the era of information technology (IT) has provided broader scope towards improving the quality of life. However, the technological aspects in various data-driven solutions also resulted in data duplication and malevolent manipulation during the digital data distributions through networks, especially when it comes to images. Thereby the demand to protect the privacy of image data is highly envisioned and a crucial concern in the current scenario. Currently, medical facilities also require protecting medical image data ownership with copyright protection and content authentication to preserve the authenticity of the patient clinical details. The study in this regard introduces a computationally efficient technique, namely-computational system for medical image authentication using watermarking (CSMI-AW) to protect the ownership of the patient chest x-ray images. The system uses the potential factors associated with the spectral domain techniques, such as with Discrete Cosine Transformation (DCT) approach with non-blind detection. The optimized procedure of DCT-based significant technique for message image/watermarking and substitution methods for embedding process makes the CSMI-AW more robust to retain the medical image watermark and watermarked image perceptual quality. It also simplifies the algorithm steps in such a way where it optimizes the performance of CSMI-AW with a proper balance between robustness, computational cost, and embedding efficiency. However, the CSMI-AW system not only ensures a higher degree of security for digital x-ray images but also attains better computational performance with higher perceptual quality of the watermark. It attains approximately 40% better outcome of PSNR and 60% computational improvement. The comparative performance analysis for the traditional approaches shows its effectiveness in terms of computational efficiency and peak-signal-to-noise ratio (PSNR).

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References

  1. Mousavi, M., Naghsh, A., Abu-Bakar, S.A.R.: Watermarking techniques used in medical image: a survey. J. Digit. Imaging 27(6), 714–729 (2014)

    Article  Google Scholar 

  2. Sunesh, H.K.: Watermark attacks and applications in aatermarking. In: National Workshop-Cum-Conference on Recent Trends in Mathematics and Computing (RTMC) (2011)

    Google Scholar 

  3. Shukla, D., Tiwari, N.: Survey on digital watermarking techniques. Int. J. Signal Process. Image Process. Pattern 8(9), 6–11 (2016)

    Google Scholar 

  4. Nangedda, M., Sudharsan, R.A.: Medical image steganography with digital watermarking. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 4(7) (2014)

    Google Scholar 

  5. Gupta, V., Barve, A.: A review on image watermarking and its techniques. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 4(1) (2014)

    Google Scholar 

  6. Goli, M.S., Naghsh, A.: A comparative study of image-in-image steganography using three methods of least significant bit, discrete wavelet transform and singular value decomposition. Bull. de la Société Royale des Sci. de Liège 85, 1465–1474 (2016)

    Google Scholar 

  7. Saneei, S., Naghsh, A.: Introducing a new method of robust digital image watermarking against cropping and salt & pepper noise using Sudoku. Majlesi J. Multimedia Process. 4(4) (2015)

    Google Scholar 

  8. Khalid, S.K.A., Deris, M.M., Mohammad, K.M.: Anti cropping digital image watermarking using Sudoku. Int. J. Grid Utility Comput. 4(2/3), 169–177 (2013)

    Article  Google Scholar 

  9. Cox, I.J., Kilian, J., Leighton, T., Shamoon, T.: A secure, robust watermark for multimedia. In: Workshop on Information Hiding. University of Cambridge (1996)

    Google Scholar 

  10. Fang, Y.M., Huang, J.W., Wu, S.Q.: CDMA-based watermarking resisting to cropping. In: Proceedings of the ISCAS 2004, pp. 25–28 (2004)

    Google Scholar 

  11. Aggarwal, A., Singla, M.: Robust watermarking of color image under noise and cropping attack in spectral domain. Int. J. Comput. Sci. Inf. Technol. 2(5), 2036–2041 (2011)

    Google Scholar 

  12. Rawat, S., Raman, B.: A new robust watermarking scheme for color images. In: Proceedings of the IEEE 2nd International Advance Computing Conference, pp. 206–209 (2010)

    Google Scholar 

  13. Megalingam, R.K., Nair, M.M., Srikumar, R., Balasubramanian, V.K., Sarma, V.S.V.: Performance comparison of novel, robust spectral domain digital image watermarking with the conventional frequency domain watermarking techniques. In: International Conference on Signal Acquisition and Processing, pp. 349–353 (2010)

    Google Scholar 

  14. Goli, M.S., Naghsh, A.: Introducing a new method robust against crop attack in digital image watermarking using two-step Sudoku. In: 3rd International Conference on Pattern Recognition and Image Analysis (IPRIA), pp. 237–242 (2017). https://doi.org/10.1109/PRIA.2017.7983054

  15. Zheng, J.Y., Ling, D.H., Liang, J.Z., Jin, M.: A DCT-based digital watermarking algorithm for image. In: 2012 International Conference on Industrial Control and Electronics Engineering, pp. 1217–1220 (2012). https://doi.org/10.1109/ICICEE.2012.323

  16. Basu, A., Roy, S.S., Chattopadhyay, A.: Implementation of a spatial domain salient region based digital image watermarking scheme. In: Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), pp. 269–270 (2016). https://doi.org/10.1109/ICRCICN.2016.7813669

  17. Basu, A., Sinha Roy, S., Sarkar, S.: FPGA implementation of saliency based watermarking framework. In: 6th International Conference on CODEC. IEEE (2015). ISSN: 978-1-4673-9513-7/15

    Google Scholar 

  18. Kutter, M., Petitcolas, F.A.P.: A fair benchmark for image watermarking systems. J. Electron. Imaging 4, 445–455 (2000)

    Google Scholar 

  19. Sinha Roy, S., Saha, S., Basu, A.: Generic testing architecture for digital watermarking. In: Proceedings of FRCCD-2015, pp. 50–58, December 2015. ISBN 978-93-8592-600-6

    Google Scholar 

  20. Wong, M.L.D., Lau, S.I.J., Chong, N.S., Sim, K.Y.: A salient region watermarking scheme for digital mammogram authentication. Int. J. Innov. Manag. Technol. 4(2), 228–232 (2013)

    Google Scholar 

  21. Hong, W., Chen, T.S.: A novel data embedding method using adaptive pixel pair matching. IEEE Trans. Inf. Forensics Secur. 7(1), 176–184 (2012)

    Article  Google Scholar 

  22. Bamatraf, A., Ibrahim, R., Salleh, M., Mohd, N.: A new digital watermarking algorithm using combination of least significant bit (LSB) and inverse bit. arXiv preprint arXiv:1111.6727 (2011)

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Authors and Affiliations

  1. Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India

    Anusha Chacko

  2. Department of Electronics and Communication Engineering, Vimal Jyothi Engineering College, Chemperi, Kerala, India

    Anusha Chacko

  3. Department of Electrical and Electronics Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India

    Shanty Chacko

Authors
  1. Anusha Chacko
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  2. Shanty Chacko
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Correspondence to Anusha Chacko .

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Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Radek Silhavy

  2. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Petr Silhavy

  3. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Zdenka Prokopova

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Chacko, A., Chacko, S. (2021). CSMI-AW: Computational System for Medical Image Authentication Using Watermarking. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Software Engineering Application in Informatics. CoMeSySo 2021. Lecture Notes in Networks and Systems, vol 232. Springer, Cham. https://doi.org/10.1007/978-3-030-90318-3_76

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