Advertisement

Selected Context Dependent Prediction for Reversible Watermarking with Optimal Embedding

  • Ravi UyyalaEmail author
  • Munaga V. N. K. Prasad
  • Rajarshi Pal
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 460)

Abstract

This paper presents a novel prediction error expansion (PEE) based reversible watermarking using 3 \(\times \) 3 neighborhood of a pixel. Use of a good predictor is important in this kind of watermarking scheme. In the proposed predictor, the original pixel value is predicted based on a selected set, out of the eight neighborhood of a pixel. Moreover, the value of prediction error expansion (PEE) is optimally divided between current pixel and top-diagonal neighbor such that distortion remains minimum. Experimental results show that the proposed predictor with optimal embedding outperforms several other existing methods.

Keywords

Reversible watermarking Prediction error expansion Optimized embedding Watermarking scheme 

References

  1. 1.
    A. Khan, A. Siddiqa, S. Munib, S. A. Malik, A recent survey of reversible watermarking techniques, Information Sciences, (279) (2014) 251–272.Google Scholar
  2. 2.
    J. Tian, Reversible data embedding using a difference expansion, IEEE Transactions on Circuits and Systems for Video Technology, 13 (8) (2003) 890–896.CrossRefGoogle Scholar
  3. 3.
    S. Weng, Y. Zhao, J.-S. Pan, R. Ni, A novel reversible watermarking based on an integer transform, in: IEEE International Conference on Image Processing, Vol. 3, 2007, pp. 241–244.Google Scholar
  4. 4.
    A. Alattar, Reversible watermark using the difference expansion of a generalized integer transform, IEEE Transactions on Image Processing, 13 (8) (2004) 1147–1156.MathSciNetCrossRefGoogle Scholar
  5. 5.
    M. Tejawat, R. Pal, Detecting tampered cheque images using difference expansion based watermarking with intelligent pairing of ixels, in: International Conference on Advanced Computing , Networking and Informatics, 2015, pp. 631–641.Google Scholar
  6. 6.
    D. Thodi, J. Rodriguez, Expansion embedding techniques for reversible watermarking, IEEE Transactions on Image Processing, 16 (3) (2007) 721–730.MathSciNetCrossRefGoogle Scholar
  7. 7.
    X. Li, B. Yang, T. Zeng, Efficient reversible watermarking based on adaptive prediction-error expansion and pixel selection, IEEE Transactions on Image Processing, 20 (12) (2011) 3524–3533.MathSciNetCrossRefGoogle Scholar
  8. 8.
    F. L. Chin, L. C. Hsing, Adjustable prediction-based reversible data hiding, Digital Signal Processing 22 (6) (2012) 941–953.Google Scholar
  9. 9.
    H. Wu, J. Huang, Reversible image watermarking on prediction errors by efficient histogram modification, Signal Processing, 92 (12) (2012) 3000–3009.Google Scholar
  10. 10.
    R. Naskar, R. Chakraborty, Reversible watermarking utilising weighted median-based prediction, IET Image Processing, 6 (5) (2012) 507–520.MathSciNetCrossRefGoogle Scholar
  11. 11.
    S. P. Jaiswal, O. C. Au, V. Jakhetiya, Y. Guo, A. K. Tiwari, K. Yue, Efficient adaptive prediction based reversible image watermarking, in: Proceedings of the 20th International Conference on Image Processing, 2013, pp. 4540–4544.Google Scholar
  12. 12.
    I. C. Dragoi, D. Coltuc, I. Caciula, Gradient based prediction for reversible watermarking by difference expansion, in: Proceedings of the 2nd ACM Workshop on Information Hiding and Multimedia Security, 2014, pp. 35–40.Google Scholar
  13. 13.
    C. Dragoi, D. Coltuc, Improved rhombus interpolation for reversible watermarking by difference expansion, in: Proceedings of the 20th European Signal Processing Conference 2012, pp. 1688–1692.Google Scholar
  14. 14.
    I. C. Dragoi, D. Coltuc, On local prediction based reversible watermarking, IEEE Transactions on Image Processing, 24 (4) (2015) 1244–1246.MathSciNetCrossRefGoogle Scholar
  15. 15.
    D. Coltuc, Improved embedding for prediction based reversible watermarking, IEEE Transactions on Information Forensics and Security, 6 (3) (2011) 873–882.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Singapore 2017

Authors and Affiliations

  • Ravi Uyyala
    • 1
    • 2
    Email author
  • Munaga V. N. K. Prasad
    • 1
  • Rajarshi Pal
    • 1
  1. 1.Institute for Development and Research in Banking TechnologyHyderabadIndia
  2. 2.SCIS, University of HyderabadHyderabadIndia

Personalised recommendations