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An SVD Based Location Specific Robust Color Image Watermarking Scheme Using RDWT and Arnold Scrambling

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Abstract

In recent times, effectiveness of the robust image watermarking scheme almost successfully solves the authenticity and copyright protection problem of images. Among several existing robust watermarking schemes, very few have been designed for color images. In this paper, the authors have proposed a redundant discrete wavelet transform (RDWT) and singular value decomposition based hybrid robust color image watermarking method where scrambled watermark is used for embedding purpose to provide extra security to authentic logo. At first, RGB color image is converted to YCbCr color image and then the Y component of YCbCr color space is used to insert Arnold scrambled grayscale watermark. In the next step, Y component of the YCbCr color model is decomposed into non overlapping blocks and subsequently RDWT are applied to each block. For better imperceptibility and effectiveness, in this proposed algorithm some singular values of RDWT transformed Y component blocks are modified by non overlapping decomposed and scrambled watermark blocks. Robustness of the proposed method is experimented against common geometric transformation attacks (like rotation, flip operation, cropping, scaling, shearing and deletion of lines or column operation etc.), common enhancement technique attacks (like lowpass filtering, histogram equalization, sharpening, gamma correction, noise addition etc.), jpeg compression attacks, some combinational attacks and satisfactory results are achieved. For better evaluation, proposed scheme is verified against standard benchmark software “Checkmark”.

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References

  1. Swanson, M. D., Kobayashi, M., & Tewfik, A. H. (1998). Multimedia data-embedding and watermarking technologies. Proceedings of the IEEE, 86(6), 1064–1087.

    Article  Google Scholar 

  2. Cox, I. J., Kilian, J., Leighton, F. T., & Shamoon, T. (1997). Secure spread spectrum watermarking for multimedia. IEEE Transactions on Image Processing, 6(12), 1673–1687.

    Article  Google Scholar 

  3. Hernandez, J. R., Amado, M., & Perez-Gonzalez, F. (2000). DCT-domain watermarking techniques for still images: Detector performance analysis and a new structure. IEEE Transactions on Image Processing, 9(1), 55–68.

    Article  Google Scholar 

  4. Kusyk, J., & Eskicioglu, A. M. (2005). A semi-blind logo watermarking scheme for color images by comparison and modification of DFT coefficients. In Optics east, international society for optics and photonics.

  5. Campisi, P., Kundur, D., & Neri, A. (2004). Robust digital watermarking in the ridgelet domain. IEEE Signal Processing Letters, 11(10), 826–830.

    Article  Google Scholar 

  6. Barni, M., Bartolini, F., & Piva, A. (2001). Improved wavelet-based watermarking through pixel-wise masking. IEEE Transactions on Image Processing, 10(5), 783–791.

    Article  MATH  Google Scholar 

  7. Hien, T. D., Nakao, Z., & Chen, Y. W. (2006). Robust multi-logo watermarking by RDWT and ICA. Signal Processing, 86(10), 2981–2993.

    Article  MATH  Google Scholar 

  8. Mabtoul, S., Ibn-Elhaj, E., & Aboutajdine, D. (2006). A blind image watermarking algorithm based on dual tree complex wavelet transform. In Proceeding of 2nd international symposium on communication, control and signal process.

  9. Barni, M., Bartolini, F., & Piva, A. (2002). Multichannel watermarking of color images. IEEE Transactions on Circuits and Systems for Video Technology, 12(3), 142–156.

    Article  MATH  Google Scholar 

  10. Su, Q., Niu, Y., Wang, Q., & Sheng, G. (2013). A blind color image watermarking based on DC component in the spatial domain. Optik-International Journal for Light and Electron Optics, 124(23), 6255–6260.

    Article  Google Scholar 

  11. Shi, H., Lv, F., & Cao, Y. (2014). A blind watermarking technique for color image based on SVD with circulation. Journal of Software, 9(7), 1749–1756.

    Google Scholar 

  12. Dharwadkar, N. V., & Amberker, B. B. (2010). An efficient and secured non blind watermarking scheme for color images using DWT and Arnold transform. International Journal of Computing, 9(2), 183–191.

    Google Scholar 

  13. Gonzalez, R. C., & Woods, R. E. (2007). Digital image processing (2nd ed.). London: Pearson Education.

    Google Scholar 

  14. Su, Q., Niu, Y., Liu, X., & Yao, T. (2013). A novel blind digital watermarking algorithm for embedding color image into color image. Optik-International Journal for Light and Electron Optics, 124(18), 3254–3259.

    Article  Google Scholar 

  15. Chen, B., Coatrieux, G., Chen, G., Sun, X., Coatrieux, J. L., & Shu, H. (2014). Full 4-D quaternion discrete Fourier transform based watermarking for color images. Digital Signal Processing, 28, 106–119.

    Article  Google Scholar 

  16. Ouyang, J., Coatrieux, G., Chen, B., & Shu, H. (2015). Color image watermarking based on quaternion Fourier transform and improved uniform log-polar mapping. Computers & Electrical Engineering, 46, 419–432.

    Article  Google Scholar 

  17. Kalra, G. S., Talwar, R., & Sadawarti, H. (2015). Adaptive digital image watermarking for color images in frequency domain. Multimedia Tools and Applications, 74(17), 6849–6869.

    Article  Google Scholar 

  18. Ward, D. L. (2003). Redundant discrete wavelet transform based super-resolution using sub-pixel image registration (No. AFIT/GE/ENG/03-18). Air Force Inst Of Tech Wright-Patterson AFB Oh School of Engineering and Management.

  19. Moonen, M., Van Dooren, P., & Vandewalle, J. (1992). A singular value decomposition updating algorithm for subspace tracking. SIAM Journal on Matrix Analysis and Applications, 13(4), 1015–1038.

    Article  MathSciNet  MATH  Google Scholar 

  20. Ali, M., Ahn, C. W., & Pant, M. (2014). A robust image watermarking technique using SVD and differential evolution in DCT domain. Optik-International Journal for Light and Electron Optics, 125(1), 428–434.

    Article  Google Scholar 

  21. Konda, T., & Nakamura, Y. (2009). A new algorithm for singular value decomposition and its parallelization. Parallel Computing, 35(6), 331–344.

    Article  MathSciNet  Google Scholar 

  22. Sadek, R. A. (2012). SVD based image processing applications: State of the art, contributions and research challenges. arXiv preprint arXiv:1211.7102.

  23. Aslantas, V. (2009). An optimal robust digital image watermarking based on SVD using differential evolution algorithm. Optics Communications, 282(5), 769–777.

    Article  Google Scholar 

  24. Su, Q., Niu, Y., Wang, G., Jia, S., & Yue, J. (2014). Color image blind watermarking scheme based on QR decomposition. Signal Processing, 94, 219–235.

    Article  Google Scholar 

  25. Su, Q., Niu, Y., Zou, H., & Liu, X. (2013). A blind dual color images watermarking based on singular value decomposition. Applied Mathematics and Computation, 219(16), 8455–8466.

    Article  MathSciNet  MATH  Google Scholar 

  26. Zhang, X. P., & Li, K. (2005). Comments on” An SVD-based watermarking scheme for protecting rightful Ownership”. IEEE Transactions on Multimedia, 7(3), 593–594.

    Article  Google Scholar 

  27. Rykaczewski, R. (2007). Comments on “An SVD-based watermarking scheme for protecting rightful ownership”. IEEE Transactions on Multimedia, 2(9), 421–423.

    Article  Google Scholar 

  28. Voloshynovskiy, S., Pereira, S., Pun, T., Eggers, J. J., & Su, J. K. (2001). Attacks on digital watermarks: Classification, estimation based attacks, and benchmarks. IEEE Communications Magazine, 39(8), 118–126.

    Article  Google Scholar 

  29. Kutter, M., & Petitcolas, F. A. (1999). Fair benchmark for image watermarking systems. In Electronic imaging ‘99 (pp. 226–239). International Society for Optics and Photonics.

  30. “Checkmark”. http://watermarking.unige.ch/checkmark/.

  31. Pereira, S., Voloshynovskiy, S., Madueño, M., Marchand-Maillet, S., & Pun, T. (2001). Second generation benchmarking and application oriented evaluation.In Information hiding workshop III, Pittsburgh, PA, USA (pp. 340–353).

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Correspondence to Soumitra Roy.

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Roy, S., Pal, A.K. An SVD Based Location Specific Robust Color Image Watermarking Scheme Using RDWT and Arnold Scrambling. Wireless Pers Commun 98, 2223–2250 (2018). https://doi.org/10.1007/s11277-017-4971-z

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