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QR Code Watermarking for Digital Images

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Information Security Applications (WISA 2019)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 11897))

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Abstract

With the growing use of online digital media, it is becoming increasingly challenging to protect copyright and intellectual property. Data hiding techniques like digital watermarking can be used to embed data within a signal for purposes such as digital rights management. This paper investigates a watermarking technique for digital images using QR codes. The advantage of using QR codes for watermarking is that properties of the QR code structure include error correction and high data capacity. This paper proposes a QR code watermarking technique, and examines its robustness and security against common digital image attacks.

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References

  1. Cardamone, N., d’Amore, F.: DWT and QR code based watermarking for document DRM. In: Yoo, C.D., Shi, Y.-Q., Kim, H.J., Piva, A., Kim, G. (eds.) IWDW 2018. LNCS, vol. 11378, pp. 137–150. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-11389-6_11

    Chapter  Google Scholar 

  2. Chow, Y., Susilo, W., Tonien, J., Vlahu-Gjorgievska, E., Yang, G.: Cooperative secret sharing using QR codes and symmetric keys. Symmetry 10(4), 95 (2018). https://doi.org/10.3390/sym10040095

    Article  MATH  Google Scholar 

  3. Chow, Y.-W., Susilo, W., Tonien, J., Zong, W.: A QR code watermarking approach based on the DWT-DCT technique. In: Pieprzyk, J., Suriadi, S. (eds.) ACISP 2017. LNCS, vol. 10343, pp. 314–331. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-59870-3_18

    Chapter  Google Scholar 

  4. Cox, I.J., Miller, M.L.: The first 50 years of electronic watermarking. EURASIP J. Adv. Signal Process. 2002(2), 820936 (2002). https://doi.org/10.1155/S1110865702000525

    Article  MATH  Google Scholar 

  5. Hartung, F., Kutter, M.: Multimedia watermarking techniques. Proc. IEEE 87(7), 1079–1107 (1999). https://doi.org/10.1109/5.771066

    Article  Google Scholar 

  6. Huang, J., Shi, Y.Q., Shi, Y.: Embedding image watermarks in DC components. IEEE Trans. Circuits Syst. Video Technol. 10(6), 974–979 (2000). https://doi.org/10.1109/76.867936

    Article  Google Scholar 

  7. International Organization for Standardization: Information technology—automatic identification and data capture techniques—QR Code 2005 bar code symbology specification. ISO/IEC 18004:2006 (2006)

    Google Scholar 

  8. Kang, Q., Li, K., Yang, J.: A digital watermarking approach based on DCT domain combining QR code and chaotic theory. In: 2014 Eleventh International Conference on Wireless and Optical Communications Networks (WOCN), pp. 1–7, September 2014. https://doi.org/10.1109/WOCN.2014.6923098

  9. Lai, C.C., Tsai, C.C.: Digital image watermarking using discrete wavelet transform and singular value decomposition. IEEE Trans. Instrum. Meas. 59(11), 3060–3063 (2010). https://doi.org/10.1109/TIM.2010.2066770

    Article  Google Scholar 

  10. Lee, H.C., Dong, C.R., Lin, T.M.: Digital watermarking based on JND model and QR code features. In: Pan, J.S., Yang, C.N., Lin, C.C. (eds.) Advances in Intelligent Systems and Applications. Smart Innovation, Systems and Technologies, vol. 21, pp. 141–148. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-35473-1_15

    Chapter  Google Scholar 

  11. Mallat, S.: A theory for multiresolution signal decomposition: the wavelet representation. IEEE Trans. Pattern Anal. Mach. Intell. 11(7), 674–693 (1989). https://doi.org/10.1109/34.192463

    Article  MATH  Google Scholar 

  12. Panah, A.S., Schyndel, R.V., Sellis, T., Bertino, E.: On the properties of non-media digital watermarking: a review of state of the art techniques. IEEE Access 4, 2670–2704 (2016). https://doi.org/10.1109/ACCESS.2016.2570812

    Article  Google Scholar 

  13. Podilchuk, C.I., Delp, E.J.: Digital watermarking: algorithms and applications. IEEE Signal Process. Mag. 18(4), 33–46 (2001). https://doi.org/10.1109/79.939835

    Article  Google Scholar 

  14. Seenivasagam, V., Velumani, R.: A QR code based zero-watermarking scheme for authentication of medical images in teleradiology cloud. Comput. Math. Methods Med. 2013(516465), 16 (2013). https://doi.org/10.1155/2013/516465

    Article  MathSciNet  MATH  Google Scholar 

  15. Thulasidharan, P.P., Nair, M.S.: QR code based blind digital image watermarking with attack detection code. AEU Int. J. Electron. Commun. 69(7), 1074–1084 (2015). https://doi.org/10.1016/j.aeue.2015.03.007. http://www.sciencedirect.com/science/article/pii/S1434841115001004

    Article  Google Scholar 

  16. Tkachenko, I., Puech, W., Destruel, C., Strauss, O., Gaudin, J., Guichard, C.: Two-level QR code for private message sharing and document authentication. IEEE Trans. Inf. Forensics Secur. 11(3), 571–583 (2016). https://doi.org/10.1109/TIFS.2015.2506546

    Article  Google Scholar 

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Correspondence to Yang-Wai Chow .

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Chow, YW., Susilo, W., Baek, J., Kim, J. (2020). QR Code Watermarking for Digital Images. In: You, I. (eds) Information Security Applications. WISA 2019. Lecture Notes in Computer Science(), vol 11897. Springer, Cham. https://doi.org/10.1007/978-3-030-39303-8_3

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  • DOI: https://doi.org/10.1007/978-3-030-39303-8_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-39302-1

  • Online ISBN: 978-3-030-39303-8

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