Watermarking Capacity Analysis Based on Neural Network | SpringerLink
Skip to main content
Springer Nature Link
Log in

Watermarking Capacity Analysis Based on Neural Network

  • Conference paper
Advances in Neural Networks – ISNN 2005 (ISNN 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3497))

Included in the following conference series:

Abstract

The watermarking capacity of a digital image is an evaluation of how much information can be hidden within digital images. This paper presents a blind watermarking algorithm based on the Hopfield neural network and discusses the bounds of watermark information. The Hopfield neural network is used to store the original image during the watermark embedding and to retrieve it during the watermark extracting. According to the research, the attraction basin of neural network determines the watermarking capacity.

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

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

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

    Article  Google Scholar 

  2. Cox, I., Milller, M., McKellips, A.: Watermarking as communications with side information. Proceedings of the IEEE, Special Issue on Identification and Protection of Multimedia Information 7, 1127–1141 (1999)

    Google Scholar 

  3. Servetto, S., Podilchuk, C., Ramchandran, K.: Capacity Issues in Digital Image Watermarking. In: IEEE International Conference on Image Processing, New York, vol. 1, pp. 445–449 (1998)

    Google Scholar 

  4. Barni, M., Bartolini, F., De Rosa, A., Piva, A.: Capacity of the watermarkingchannel: how many bits can be hidden within a digital image. In: Wong, P., Delp, E. (eds.) Security and Watermarking of Multimedia Contents, Proceedings of SPIE, San Jose, USA, vol. 3657, pp. 437–448 (1999)

    Google Scholar 

  5. Moulin, P., Mihcak, M.: A Framework for Evaluating the Data-Hiding Capacity of Image Sources. IEEE Transactions on Image Processing 9, 1029–1042 (2002)

    Article  Google Scholar 

  6. Moulin, P.: The Role of Information Theory in Watermarking and Its Application to Image Watermarking. Signal Processing 6, 1121–1139 (2001)

    Article  Google Scholar 

  7. Lin, C., Chang, S.: Zero-error Information Hiding Capacity of Digital Images. In: IEEE International Conference on Image Processing, New York, USA, vol. 3, pp. 1007–1010 (2001)

    Google Scholar 

  8. Zhang, F., Zhang, H.: Digital watermarking capacity and reliability. In: Bichler, M., Chung, J. (eds.) IEEE International Conference on e-Commerce Technology, San Diego, CA, USA, pp. 295–298 (2004)

    Google Scholar 

  9. Zhang, F., Zhang, H.: Wavelet Domain Watermarking Capacity Analysis. In: 12th European Signal Processing Conference, Vienna, Austria, vol. 3, pp. 1469–1472 (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Computer, Beijing University of Technology, Beijing, 100022, China

    Fan Zhang & Hongbin Zhang

Authors
  1. Fan Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hongbin Zhang
    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. The Key Laboratory of Optoelectric Technology & Systems, Ministry of Education, China

    Xiao-Feng Liao

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

    Zhang Yi

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Zhang, F., Zhang, H. (2005). Watermarking Capacity Analysis Based on Neural Network. In: Wang, J., Liao, XF., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3497. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427445_126

Download citation

  • DOI: https://doi.org/10.1007/11427445_126

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25913-8

  • Online ISBN: 978-3-540-32067-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation