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S-DWF: An Integrated Schema for Secure Digital Image Watermarking

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Software Engineering Methods in Intelligent Algorithms (CSOC 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 984))

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Abstract

The recent advancement in the field of information and communication technologies requires potential security solutions to provide efficient information protection. The proposed study conceptualizes a secure digital watermarking framework also abbreviated as S-DWF which performs an ‘image dithering’ form of decomposition followed by a key-based watermarking procedure. The proposed S-DWF implemented in a numerical computing platform with respect to the addition of different noisy level and also checked for performance assessment. The outcome of the study shows that the proposed S-DWF attains better information protection in terms of Peak Signal to Noise Ratio (PSNR) and Bit Error Rate (BER) even in the presence of any noisy attack as compared to the existing baseline. It also balances the trade-off between computational effort required and the visual and perceptual quality of the retrieved watermark image signal information.

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References

  1. Patsakis, C., Zigomitros, A., Papageorgiou, A., Solanas, A.: Privacy and security for multimedia content shared on OSNs: issues and countermeasures. Comput. J. 58(4), 518–535 (2015)

    Article  Google Scholar 

  2. Marqués, I., Graña, M.: Image security and biometrics: a review. In: International Conference on Hybrid Artificial Intelligence Systems, 28 March 2012, pp. 436–447. Springer, Heidelberg (2012)

    Google Scholar 

  3. Supriya, A.V., Shetty, S.: A survey on multimedia content protection (2017)

    Google Scholar 

  4. Korus, P.: Digital image integrity–a survey of protection and verification techniques. Digit. Signal Proc. 71, 1–26 (2017)

    Article  MathSciNet  Google Scholar 

  5. Taleby Ahvanooey, M., et al.: A comparative analysis of information hiding techniques for copyright protection of text documents. Secur. Commun. Netw. 2018, 22 pages (2018)

    Google Scholar 

  6. Nyeem, H., Boles, W., Boyd, C.: Digital image watermarking: its formal model, fundamental properties and possible attacks. EURASIP J. Adv. Signal Process. 2014(1), 135 (2014)

    Article  Google Scholar 

  7. Singh, A.K., Kumar, B., Singh, G., Mohan, A.: Medical image watermarking techniques: a technical survey and potential challenges. In: Medical Image Watermarking, pp. 13–41. Springer, Cham (2017)

    Chapter  Google Scholar 

  8. Rani, B.U., Praveena, B., Ramanjaneyulu, K.: Literature review on digital image Watermarking. In: Proceedings of the 2015 International Conference on Advanced Research in Computer Science Engineering & Technology (ICARCSET 2015), 6 March 2015, p. 43. ACM (2015)

    Google Scholar 

  9. Tew, Y., Wong, K.: An overview of information hiding in H.264/AVC compressed video. IEEE Trans. Circ. Syst. Video Technol. 24(2), 305–319 (2014)

    Article  Google Scholar 

  10. Bianchi, T., Piva, A.: Secure watermarking for multimedia content protection: a review of its benefits and open issues. IEEE Signal Process. Mag. 30(2), 87–96 (2013)

    Article  Google Scholar 

  11. Laouamer, L., Tayan, O.: Performance evaluation of a document image watermarking approach with enhanced tamper localization and recovery. IEEE Access 6, 26144–26166 (2018)

    Article  Google Scholar 

  12. Ernawan, F., Kabir, M.N.: A robust image watermarking technique with an optimal DCT-psychovisual threshold. IEEE Access 6, 20464–20480 (2018)

    Article  Google Scholar 

  13. Loan, N.A., Hurrah, N.N., Parah, S.A., Lee, J.W., Sheikh, J.A., Bhat, G.M.: Secure and robust digital image watermarking using coefficient differencing and chaotic encryption. IEEE Access 6, 19876–19897 (2018)

    Article  Google Scholar 

  14. Guo, Y., Au, O.C., Wang, R., Fang, L., Cao, X.: Halftone image watermarking by content aware double-sided embedding error diffusion. IEEE Trans. Image Process. 27(7), 3387–3402 (2018)

    Article  MathSciNet  Google Scholar 

  15. Shehab, A., et al.: Secure and robust fragile watermarking scheme for medical images. IEEE Access 6, 10269–10278 (2018)

    Article  Google Scholar 

  16. Ahmaderaghi, B., Kurugollu, F., Rincon, J.M.D., Bouridane, A.: Blind image watermark detection algorithm based on discrete shearlet transform using statistical decision theory. IEEE Trans. Comput. Imaging 4(1), 46–59 (2018)

    Article  MathSciNet  Google Scholar 

  17. Liu, X.L., Lin, C.C., Yuan, S.M.: Blind dual watermarking for color images’ authentication and copyright protection. IEEE Trans. Circ. Syst. Video Technol. 28(5), 1047–1055 (2018)

    Article  Google Scholar 

  18. Wang, S., Cui, C., Niu, X.: A novel DIBR 3D image watermarking algorithm resist to geometrical attacks. Chin. J. Electron. 26(6), 1184–1193 (2017)

    Article  Google Scholar 

  19. Kim, W.H., Nam, S.H., Lee, H.K.: Blind curvelet watermarking method for high-quality images. Electron. Lett. 53(19), 1302–1304 (2017)

    Article  Google Scholar 

  20. Guo, Y., Li, B.Z., Goel, N.: Optimised blind image watermarking method based on firefly algorithm in DWT-QR transform domain. IET Image Process. 11(6), 406–415 (2017)

    Article  Google Scholar 

  21. Liu, X., Han, G., Wu, J., Shao, Z., Coatrieux, G., Shu, H.: Fractional Krawtchouk transform with an application to image watermarking. IEEE Trans. Signal Process. 65(7), 1894–1908 (2017)

    Article  MathSciNet  Google Scholar 

  22. Su, Q.: Novel blind colour image watermarking technique using Hessenberg decomposition. IET Image Process. 10(11), 817–829 (2016)

    Article  Google Scholar 

  23. Bhowmik, D., Oakes, M., Abhayaratne, C.: Visual attention-based image watermarking. IEEE Access 4, 8002–8018 (2016)

    Article  Google Scholar 

  24. Guo, Y., Li, B.Z.: Blind image watermarking method based on linear canonical wavelet transform and QR decomposition. IET Image Process. 10(10), 773–786 (2016)

    Article  Google Scholar 

  25. Zong, T., Xiang, Y., Guo, S., Rong, Y.: Rank-based image watermarking method with high embedding capacity and robustness. IEEE Access 4, 1689–1699 (2016)

    Article  Google Scholar 

  26. Rosales Roldan, L., Cedillo Hernandez, M., Chao, J., Nakano Miyatake, M., Perez Meana, H.: Watermarking-based color image authentication with detection and recovery capability. IEEE Latin Am. Trans. 14(2), 1050–1057 (2016)

    Article  Google Scholar 

  27. Makbol, N.M., Khoo, B.E., Rassem, T.H.: Block-based discrete wavelet transform-singular value decomposition image watermarking scheme using human visual system characteristics. IET Image Process. 10(1), 34–52 (2016)

    Article  Google Scholar 

  28. Dragoi, I.C., Coltuc, D.: Adaptive pairing reversible watermarking. IEEE Trans. Image Process. 25(5), 2420–2422 (2016)

    Article  MathSciNet  Google Scholar 

  29. Zope-Chaudhari, S., Venkatachalam, P., Buddhiraju, K.M.: Secure dissemination and protection of multispectral images using crypto-watermarking. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 8(11), 5388–5394 (2015)

    Article  Google Scholar 

  30. Chang, C.S., Shen, J.J.: Features classification forest: a novel development that is adaptable to robust blind watermarking techniques. IEEE Trans. Image Process. 26(8), 3921–3935 (2017)

    Article  MathSciNet  Google Scholar 

  31. Amiri, S.H., Jamzad, M.: Robust watermarking against print and scan attack through efficient modeling algorithm. Signal Process. Image Commun. 29(10), 1181–1196 (2014)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. JNT University, Anantapur, India

    R. Radha Kumari

  2. Department of CSE & IT and CACR, Anurag Group of Institutions, Hyderabad, India

    V. Vijaya Kumar

  3. Department of ECE, Jawaharlal Nehru Technological University, Anantapur, India

    K. Rama Naidu

Authors
  1. R. Radha Kumari
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  2. V. Vijaya Kumar
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  3. K. Rama Naidu
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Corresponding author

Correspondence to R. Radha Kumari .

Editor information

Editors and Affiliations

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

    Radek Silhavy

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Radha Kumari, R., Vijaya Kumar, V., Rama Naidu, K. (2019). S-DWF: An Integrated Schema for Secure Digital Image Watermarking. In: Silhavy, R. (eds) Software Engineering Methods in Intelligent Algorithms. CSOC 2019. Advances in Intelligent Systems and Computing, vol 984. Springer, Cham. https://doi.org/10.1007/978-3-030-19807-7_3

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