Skip to main content
SpringerLink
Log in

Blind Watermarking Based on Adaptive Lattice Quantization Index Modulation

  • Conference paper
  • First Online:
Digital-Forensics and Watermarking (IWDW 2015)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 9569))

Included in the following conference series:

Abstract

Lattice Quantization Index Modulation (LQIM) is an important tool in blind watermarking. Traditional compensative LQIM can only handle the global tradeoff between fidelity and robustness. To adapt the embedding strength to the local perceptual characteristics of the host signal, this paper proposes an adaptive LQIM scheme. The adaptive encoder minimizes the embedding distortion in the term of weighted-mean-squared error (wMSE) while maintaining the robustness at an acceptable level. The weight value associated with each signal element can be set according to certain perceptual measurement and is not required at the decoder. Experimental results demonstrate the superiority of the proposed scheme. Compared with the compensative LQIM, the proposed adaptive LQIM provides better fidelity without the loss of robustness.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Moulin, P., KoeTter, R.: Data-hiding codes. Proc. IEEE 93(12), 2083–2126 (2005)

    Article  Google Scholar 

  2. Cheng, Q., Huang, T.S.: An additive approach to transform-domain information hiding and optimum detection structure. IEEE Trans. Multimedia 3(3), 273–284 (2001)

    Article  Google Scholar 

  3. Malvar, H.S., Florêncio, D.A.: Improved spread spectrum: a new modulation technique for robust watermarking. IEEE Trans. Signal Process. 51(4), 898–905 (2003)

    Article  MathSciNet  Google Scholar 

  4. Huang, X., Zhang, B.: Statistically robust detection of multiplicative spread-spectrum watermarks. IEEE Trans. Inf. Forensics Secur. 2(1), 1–13 (2007)

    Article  Google Scholar 

  5. Chen, B., Wornell, G.W.: Quantization index modulation: a class of provably good methods for digital watermarking and information embedding. IEEE Trans. Inf. Theory 47(4), 1423–1443 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  6. Ourique, F., Licks, V., Jordan, R., Pérez-González, F.: Angle QIM: a novel watermark embedding scheme robust against amplitude scaling distortions. In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2005, vol. 2, pp. ii/797–ii/800. IEEE (2005)

    Google Scholar 

  7. Kalantari, N.K., Ahadi, S.M.: A logarithmic quantization index modulation for perceptually better data hiding. IEEE Trans. Image Process. 19(6), 1504–1517 (2010)

    Article  MathSciNet  Google Scholar 

  8. Erez, U., Litsyn, S., Zamir, R.: Lattices which are good for (almost) everything. IEEE Trans. Inf. Theory 51(10), 3401–3416 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  9. Bardyn, D., Dooms, A., Dams, T., Schelkens, P.: Comparative study of wavelet based lattice QIM techniques and robustness against AWGN and JPEG attacks. In: Ho, A.T.S., Shi, Y.Q., Kim, H.J., Barni, M. (eds.) IWDW 2009. LNCS, vol. 5703, pp. 39–53. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  10. Sloane, N.J., Conway, J., et al.: Sphere packings, lattices and groups, vol. 290. Springer (1999)

    Google Scholar 

  11. Li, Q., Cox, I.J.: Using perceptual models to improve fidelity and provide resistance to valumetric scaling for quantization index modulation watermarking. IEEE Trans. Inf. Forensics Secur. 2(2), 127–139 (2007)

    Article  Google Scholar 

  12. Wang, C., Ni, J., Huang, J.: An informed watermarking scheme using hidden Markov model in the wavelet domain. IEEE Trans. Inf. Forensics Secur. 7(3), 853–867 (2012)

    Article  Google Scholar 

  13. Wang, Z., Bovik, A.C.: Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process. 13(4), 1–14 (2004)

    Article  Google Scholar 

  14. Liu, N., Subbalakshmi, K.P.: Nonuniform quantizer design for image data hiding. In: International Conference on Image Processing, vol. 4, pp. 2179–2182. IEEE (2004)

    Google Scholar 

  15. Forney Jr., G.D.: Multidimensional constellations. ii. voronoi constellations. IEEE J. Sel. Areas Commun. 7(6), 941–958 (1989)

    Article  MATH  Google Scholar 

  16. Zamir, R., (Shitz), S.S., Erez, U.: Nested linear/lattice codes for structured multiterminal binning. IEEE Trans. Inf. Theory 48(6), 1250–1276 (2002)

    Google Scholar 

  17. Perez-Freire, L., Perez-Gonzalez, F., Furon, T., Comesana, P.: Security of lattice-based data hiding against the known message attack. IEEE Trans. Inf. Forensics Secur. 1(4), 593–610 (2006)

    Google Scholar 

  18. Zamir, R., Feder, M.: On lattice quantization noise. IEEE Trans. Inf. Theory 42(4), 1152–1159 (1996)

    Article  MATH  Google Scholar 

  19. Abdel-Aziz, B., Chouinard, J.-Y.: On perceptual quality of watermarked images – an experimental approach. In: Kalker, T., Cox, I., Ro, Y.M. (eds.) IWDW 2003. LNCS, vol. 2939, pp. 277–288. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  20. Moulin, P., Mihcak, M.K.: The parallel-gaussian watermarking game. IEEE Trans. Inf. Theory 50(2), 272–289 (2004)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Information Science and Technology, Sun Yat-sen University, Guangzhou, 510006, China

    Bingwen Feng, Wei Lu & Wei Sun

  2. Department of Computer Science, Jinan University, Guangzhou, 510632, China

    Zhuoqian Liang

  3. Department of Mathematics, Jinan University, Guangzhou, 510632, China

    Juan Liu

Authors
  1. Bingwen Feng
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Wei Lu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Wei Sun
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Zhuoqian Liang
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Juan Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Wei Lu .

Editor information

Editors and Affiliations

  1. NJIT, Newark, New Jersey, USA

    Yun-Qing Shi

  2. Korea University, Seoul, Korea (Republic of)

    Hyoung Joong Kim

  3. University of Vigo, Vigo, Spain

    Fernando Pérez-González

  4. National Institute of Informatics, Tokyo, Japan

    Isao Echizen

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Feng, B., Lu, W., Sun, W., Liang, Z., Liu, J. (2016). Blind Watermarking Based on Adaptive Lattice Quantization Index Modulation. In: Shi, YQ., Kim, H., Pérez-González, F., Echizen, I. (eds) Digital-Forensics and Watermarking. IWDW 2015. Lecture Notes in Computer Science(), vol 9569. Springer, Cham. https://doi.org/10.1007/978-3-319-31960-5_20

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-31960-5_20

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-31959-9

  • Online ISBN: 978-3-319-31960-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation