Skip to main content

Modified Difference Expansion for Reversible Watermarking Using Fuzzy Logic Based Distortion Control

  • Conference paper

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 177))

Abstract

Digital watermarking using Difference Expansion (DE) is quite popular to embed reversibly the data followed by recovery of the original image. According to this algorithm, the least significant bit (LSB) of inter-pixel differences (between a pair of neighboring pixel) is used to embed data. It is seen that none of the DE works focuses on structural information retentions for the watermarked image at high embedding capacity. Moreover, security measure of the hidden data is not investigated under distortion constraint scenario. To this aim, a modification in DE is proposed that not only increase embedding space (hence, watermark payload) but also makes little change in structure and contrast comparison (imperceptibility) under similar luminance background. A simple fuzzy function is used to classify the image content into smooth, texture and edge region followed by adaptive distortion control. Modification also makes little change in relative entropy between the host and the watermarked data that leads to better security of the hidden data.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   329.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Tian, J.: Reversible Watermarking by Difference Expansion. In: Multimedia and Security Workshop at ACM Multimedia 2002, Juan-Les-Pins, France, December 6 (2002)

    Google Scholar 

  2. Feng, J.-B., Lin, I.-C., Tsai, C.-S., Chu, Y.-P.: Reversible Watermarking: Current States and Key Issues. International Journal of Network Security 2(3), 161–171 (2006)

    Google Scholar 

  3. Tian, J.: Reversible Data Embedding Using a Difference Expansion. IEEE Transactions on Circuit and Systems for Video Technology 13(8) (August 2003)

    Google Scholar 

  4. Alattar, A.M.: Reversible watermark using difference expansion of triplets. In: Proceedings of the IEEE International Conference on Image Processing, Catalonia, Spain, vol. 1, pp. 501–504 (September 2003)

    Google Scholar 

  5. Alattar, A.M.: Reversible watermark using difference expansion of quads. In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Montreal, Canada, vol. 3, pp. 377–380 (May 2004)

    Google Scholar 

  6. Alattar, A.M.: Reversible Watermarking Using the Difference Expansion of a Generalized Integer Transform. IEEE Transaction on Image Processing 13(8), 1147–1156 (2004)

    Article  MathSciNet  Google Scholar 

  7. Wang, X.T., Shao, C.Y., Xu, X.G., Niu, X.M.: Reversible Data-Hiding Scheme for 2-D Vector Maps Based on Difference Expansion. IEEE Transaction on Information forensics and Security 2(3) (September 2007)

    Google Scholar 

  8. Lin, C.C., Yang, S.P., Hsueh, N.L.: Lossless Data Hiding Based on Difference Expansion without a Location Map. In: 2008 Congress on Image and Signal Processing, pp. 8–12 (2008)

    Google Scholar 

  9. Hu, Y., Lee, H.K., Li, J.: DE-Based Reversible Data Hiding With Improved Overflow Location Map. IEEE Transactions on Circuit and Systems for Video Technology 19(2) (February 2009)

    Google Scholar 

  10. Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image Quality Asssesment: From Error Visibility to structural similarity. IEEE Transaction on Image Processing 13(4) (April 2004)

    Google Scholar 

  11. Georgiou, T.T., Lindquist, A.: Kullback–Leibler Approximation of Spectral Density Functions. IEEE Transactions on Information Theory 49(11) (November 2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hirak Kumar Maity .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Maity, H.K., Maity, S.P., Maity, D. (2013). Modified Difference Expansion for Reversible Watermarking Using Fuzzy Logic Based Distortion Control. In: Meghanathan, N., Nagamalai, D., Chaki, N. (eds) Advances in Computing and Information Technology. Advances in Intelligent Systems and Computing, vol 177. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31552-7_89

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-31552-7_89

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31551-0

  • Online ISBN: 978-3-642-31552-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics