KSII Transactions on Internet and Information Systems (TIIS)

Korean Society for Internet Information (한국인터넷정보학회)
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Adaptive reversible image watermarking algorithm based on DE

  • Zhang, Zhengwei (Faculty of Computer and Software Engineering, Huaiyin Institute of Technology) ;
  • Wu, Lifa (College of Command Information System, PLA University of Science and Technology) ;
  • Yan, Yunyang (Faculty of Computer and Software Engineering, Huaiyin Institute of Technology) ;
  • Xiao, Shaozhang (Faculty of Computer and Software Engineering, Huaiyin Institute of Technology) ;
  • Gao, Shangbing (Faculty of Computer and Software Engineering, Huaiyin Institute of Technology)
  • Received : 2016.06.19
  • Accepted : 2016.12.28
  • Published : 2017.03.31
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Abstract

In order to improve the embedding rate of reversible watermarking algorithm for digital image and enhance the imperceptibility of the watermarked image, an adaptive reversible image watermarking algorithm based on DE is proposed. By analyzing the traditional DE algorithm and the generalized DE algorithm, an improved difference expansion algorithm is proposed. Through the analysis of image texture features, the improved algorithm is used for embedding and extracting the watermark. At the same time, in order to improve the embedding capacity and visual quality, the improved algorithm is optimized in this paper. Simulation results show that the proposed algorithm can not only achieve the blind extraction, but also significantly heighten the embedded capacity and non-perception. Moreover, compared with similar algorithms, it is easy to implement, and the quality of the watermarked images is high.

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References

  1. M. J. Sahraee, S. Ghofrani, "A robust blind watermarking method using quantization of distance between wavelet coefficients," Signal, Image and Video Processing, 7:799-807, 2013. https://doi.org/10.1007/s11760-011-0269-x
  2. Li, B., He, J., Huang, J., Shi, Y.Q., "A survey on image steganography and steganalysis," J. Inf. Hiding Multimed. Signal Process, 2(2), 142-172, 2011.
  3. Hussain, M., Hussain, M., "Survey of image steganography techniques," Int. J. Adv. Sci. Technol. 54, 113-124, 2013.
  4. Tian, J., "Reversible data embedding using a difference expansion," IEEE Trans. Circuits Syst. Video Technol. 13(8), 890-896, 2003. https://doi.org/10.1109/TCSVT.2003.815962
  5. Tzu-Chuen, L., Chin-Chen, C., "Lossless nibbled data embedding scheme based on difference expansion," Image Vis. Comput. 26, 632-638, 2008. https://doi.org/10.1016/j.imavis.2007.07.011
  6. Luo L X, Chen Z Y, Chen M, "Reversible image watermarking using interpolation technique," IEEE Transactions on information forensics and security, 15(1): 187-193, 2010.
  7. Lee C F, Chen H L, Tso H K, "Embedding capacity raising in reversible data hiding based on prediction of difference expansion," The Journal of System, 83(10):1864-1872, 2010.
  8. Hong W, Chen T S, "A local variance-controlled reversible data hiding method using prediction and histogram-shifting," The Journal of System and Software, 83(12): 2653-2663, 2010. https://doi.org/10.1016/j.jss.2010.08.047
  9. Chrysochos, E., Fotopoulos, V., Skodras, A.N., "A new difference expansion transform in triplets approach for reversible data hiding," Int. J. Comput. Math. 88(10), 2016-2025, 2011. https://doi.org/10.1080/00207160.2010.539210
  10. Liu YC, Wu HC, Yu SS, "Adaptive DE-based reversible steganographic technique using bilinear interpolation and simplified location map," Multimed Tools Appl, 52(2-3):263-276, 2011. https://doi.org/10.1007/s11042-010-0496-0
  11. Tian J, "Reversible data embedding using a difference expansion," IEEE Trans Circ Syst Video Technol, 13(8):890-896, 2011.
  12. Tseng HW, Hsieh CP, "Prediction-based reversible data hiding," Inform Sci, 179(14): 2460- 2469, 2009. https://doi.org/10.1016/j.ins.2009.03.014
  13. Alattar AM, "Reversible watermark using the difference expansion of a generalized integer transform," IEEE Trans Image Process, 13(8):1147-1156, 2004. https://doi.org/10.1109/TIP.2004.828418
  14. Maity H K, Maity S P, "Reversible image watermarking using modified difference expansion," in Proc. of Emerging Applications of Information Technology (EAIT), 2012 Third International Conference on. IEEE, 17(3): 320-323, 2012.
  15. Li X.L, Li J, Li B, et al., "High-fidelity reversible data hiding scheme based on pixel-value ordering and prediction-error expansion," Signal Processing, 93(1): 198-205, 2012. https://doi.org/10.1016/j.sigpro.2012.07.025
  16. LIN S L, HUANG C- F. LI0U M H, et al., "Improving histogram based reversible information hiding by an optimal weight-based prediction scheme," Journal of Information hiding and Multimedia Signal Processing, 1(1): 19-33, 2013.
  17. Tzu-Chuen Lu, Chin-Chen Chang, Ying-Hsuan Huang, "High capacity reversible hiding scheme based on interpolation, difference expansion and histogram shifting," Multimedia Tools and Applications, 72: 417-435, 2014. https://doi.org/10.1007/s11042-013-1369-0
  18. Hala S. El-sayed, S. F. El-Zoghdy, Osama S. Faragallah, "Adaptive Difference Expansion-Based Reversible Data Hiding Scheme for Digital Images," Arabian Journal for Science and Engineering, 41: 1091-1107, 2016. https://doi.org/10.1007/s13369-015-1956-7
  19. Ma Kun, Niu Xin-Xin, "An improved reversible watermarking scheme," in Proc. of International Conference on Signal Processing. Beijing: [s. n.], 2229-2232, 2008.
  20. Li Zhuo, Chen Xiao-Ping, Pan Xue-Zeng, et al., "Lossless data hiding scheme based on adjacent pixel difference," in Proc. of the 8th International Conference on Computer Engineering and Technology. Washington, DC: IEEE Computer Society, 588-592, 2009.
  21. WANG Z, BOVIK A C, "A universal image quality index," Signal Processing Letters, IEEE, 9(3): 81-84, 2002. https://doi.org/10.1109/97.995823
  22. WANG Z, BOVIK A C, LU L, "Why is image quality assessment so difficult," in Proc. of ICASSP2002: proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing: Vol 4, IV-3316, 2002.
  23. WANG Z, BOVIK A C, SHEIKH H R, et al., "Image quality assessment: from error visibility to structural similarity," IEEE Transactions on Image Processing, 13(4): 600-612, 2004. https://doi.org/10.1109/TIP.2003.819861
  24. Shahidan M. Abdullah, Azizah A. Manaf, "Multiple Layer Reversible Images Watermarking Using Enhancement of Difference Expansion Techniques," Networked Digital Technologies, Part I, CCIS 87, pp. 333-342, 2010.
  25. Shaowei Weng, Jeng Shyang Pan, "Adaptive reversible data hiding based on a local smoothness estimator," Multimedia Tools and Applications, 74: 10657-10678, 2015. https://doi.org/10.1007/s11042-014-2197-6
  26. Kim K.S, Lee M.J, Lee H.Y, et al., "Reversible data hiding exploiting spatial correlation between sub-sampled images," Pattern Recognition, 42(11):3083-3096, 2009. https://doi.org/10.1016/j.patcog.2009.04.004
  27. Hong W, "Reversible data embedding for high quality images using interpolation and reference pixel distribution mechanism," Journal of Visual Communication and Image Representation, (22):131-140, 2011.
  28. Li X.L, Li J, Li B, et al., "High-fidelity reversible data hiding scheme based on pixel-value-ordering and prediction-error expansion," Signal Processing, 93(1):198-205, 2012. https://doi.org/10.1016/j.sigpro.2012.07.025

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