Skip to main content
SpringerLink
Log in

Data Hiding in Neural Network Prediction Errors

  • Conference paper
Advances in Neural Networks - ISNN 2006 (ISNN 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3973))

Included in the following conference series:

Abstract

In this paper, a new and efficient image hiding scheme is proposed. Different from the existing methods, the secret data is embedded into the prediction errors produced by the neural network nonlinear predictor, and the non-uniform quantization method is used to embed secret data. The proposed method can achieve higher embedding payload while keeping smaller distortion, and experimental results are given to show the advantage of this scheme.

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 119.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Lie, W.N., Chang, L.C.: Data Hiding in Images with Adaptive Numbers of Least Significant Bits Based on the Human Visual System. In: Proc. Int. Conf. Image Processing, pp. 286–290. IEEE Computer Society, Kobe Japan (1999)

    Google Scholar 

  2. Wu, D.C., Tsai, W.H.: A Steganographic Method for Images by Pixel-Value Differencing. Pattern Recognition Letters 24(9-10), 1613–1626 (2003)

    Article  MATH  Google Scholar 

  3. Yu, Y.H., Chang, C.C., Hu, Y.C.: Hiding Secret Data in Images via Predictive Coding. Pattern Recognition 38(5), 691–705 (2005)

    Article  Google Scholar 

  4. Memon, N., Wu, X.L.: Recent Developments in Context-based Predictive Techniques for Lossless Image Compression. Computer Journal 40(2-3), 127–136 (1997)

    Article  Google Scholar 

  5. Dianat, S.A., Nasrabadi, N.M., Venkataraman, S.: A Non-linear Predictor for Differential Pulse-code Encoder(DPCM) Using Artificial Neural Network. In: Proc. Int. Conf. Acoustics, Speech, and Signal Processing, pp. 2793–2796. IEEE Computer Society, Toronto (1991)

    Google Scholar 

  6. Hagan, M.T., Demuth, H.B., Beale, M.H.: Neural Network Design. PWS Publishing Company, Boston (1996)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Automation, Nanjing University of Science & Technology, 210094, Nanjing, China

    Guangjie Liu, Jinwei Wang, Yuewei Dai & Zhiquan Wang

  2. Beijing R&D Center, France Telecom, 100000, Beijing, China

    Shiguo Lian

Authors
  1. Guangjie Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jinwei Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Shiguo Lian
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yuewei Dai
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Zhiquan Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  2. Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, 610054, Chengdu, P.R. China

    Zhang Yi

  3. Department of Electrical Engineering, University of Louisville, 40292, Louisville, KY, U.S.A

    Jacek M. Zurada

  4. Laboratory for Computational Biology, Shanghai Center for Systems Biomedicine, 800 Dong Chuan Rd, 200240, Shanghai, China

    Bao-Liang Lu

  5. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Liu, G., Wang, J., Lian, S., Dai, Y., Wang, Z. (2006). Data Hiding in Neural Network Prediction Errors. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3973. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760191_40

Download citation

  • DOI: https://doi.org/10.1007/11760191_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34482-7

  • Online ISBN: 978-3-540-34483-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation