Skip to main content
Springer Nature Link
Log in

A Neural Network Based Lossless Digital Image Watermarking in the Spatial Domain

  • 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:

  • 1658 Accesses

Abstract

A lossless digital image watermarking algorithm based on neural network is proposed. The algorithm uses the neural network technique and the exclusive-or (XOR) operation to model the relationships among some randomly selected pixels with their neighborhoods, and to extract the features of the cover image instead of embedding watermark into it. It does not degrade the visual quality of the cover image, i.e., lossless watermarking. The algorithm may be used for automatic piracy detection as well as copyright demonstration by cooperating with a copyright authentication center.

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. Swanson, M.D., Kobayashi, M., Tewfik, A.H.: Multimedia Data-Embedding and Watermarking Technologies. Proceedings of the IEEE 6, 1064–1087 (1998)

    Article  Google Scholar 

  2. Chang, C.-C., Hwang, K.-F., Hwang, M.-S.: A Block Based Digital Watermarks for Copy Protection of Images. In: Fifth Asia-Pacific Conference On Communications/Fourth Optoelectronics And Communications Conference, Beijing (October 1999)

    Google Scholar 

  3. Horng, G.-B., et al: http://www.csie.cyut.edu.tw/TAAI2002/TAAI2002PDF/Parallel%20Session(C)/C2%20Neural%20Networks(III)/C2-5.pdf

    Google Scholar 

  4. Zhang, J., Wang, N.-C.: Neural Network Based Watermarking for Image Authentication. Journal of Computer-aided Design and Computer Graphics 3, 307–312 (2003) (In Chinese)

    Google Scholar 

  5. Ding, K., He, C., Jiang, L.-G., Wang, H.-X.: A Novel Fragile Watermark Applying in Verification. In: Proceedings of the International Conference on Neural Networks and Signal Processing, Nanjing, vol. 2, pp. 1501–1504 (2003)

    Google Scholar 

  6. Perrig A., Willmott, A.: Digital Image Watermarking in the ‘Real World’, http://www.ece.cmu.edu/~adrian/projects/wmark-realworld/wmark-realworld.pdf

Download references

Author information

Authors and Affiliations

  1. School of Software Engineering, Chongqing University, Chongqing, 400044, China

    Jun Sang

  2. Department of Electrical and Computer Engineering, University of South Alabama, Mobile, Alabama, 36688, USA

    Jun Sang & Mohammad S. Alam

Authors
  1. Jun Sang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mohammad S. Alam
    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

Sang, J., Alam, M.S. (2005). A Neural Network Based Lossless Digital Image Watermarking in the Spatial Domain. 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_124

Download citation

  • DOI: https://doi.org/10.1007/11427445_124

  • 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