Skip to main content

An Improved RDH Model for Medical Images with a Novel EPR Embedding Technique

  • Conference paper
  • First Online:

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 905))

Abstract

An improved RDH scheme is proposed in this paper for medical images that can overcome the challenges in implementing secure online medical system. Security of the medical images and privacy of the medical report and patient information remains a big hurdle. This approach aims at solving the security problem through two level security mechanism: encryption and data embedding. For privacy preservation EPR embedding technique is introduced to hide sensitive patient data into the medical image itself. The experimental results shows that the proposed method is highly efficient in embedding capacity and lossless recovery for grey-scale medical images. Based on PSNR values it outperforms the existing RDH methods for medical images.

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   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

Learn about institutional subscriptions

References

  1. Barton, J.M.: U.S. Patent No. 5,646,997. U.S. Patent and Trademark Office, Washington, DC (1997)

    Google Scholar 

  2. Zhang, X.: Reversible data hiding in encrypted image. IEEE Sig. Process. Lett. 18(4), 255–258 (2011)

    Article  Google Scholar 

  3. Mondal, J., Swain, D., Singh, D.P., Mohanty, S.: An improved LSB-based RDH technique with better reversibility. Int. J. Electron. Secur. Digit. Forensics 9(3), 254–268 (2017)

    Article  Google Scholar 

  4. Ahmad, T., Holil, M., Wibisono, W., Muslim, I.R.: An improved Quad and RDE-based medical data hiding method. In: 2013 IEEE International Conference on Computational Intelligence and Cybernetics (CYBERNETICSCOM), pp. 141–145. IEEE, December 2013

    Google Scholar 

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

    Google Scholar 

  6. Wu, H.T., Huang, J., Shi, Y.Q.: A reversible data hiding method with contrast enhancement for medical images. J. Vis. Commun. Image Represent. 31, 146–153 (2015)

    Article  Google Scholar 

  7. Wu, H.T., Dugelay, J.L., Shi, Y.Q.: Reversible image data hiding with contrast enhancement. IEEE Sig. Process. Lett. 22(1), 81–85 (2015)

    Article  Google Scholar 

  8. Qian, Z., Dai, S., Jiang, F., Zhang, X.: Improved joint reversible data hiding in encrypted images. J. Vis. Commun. Image Represent. 40, 732–738 (2016)

    Article  Google Scholar 

  9. Hong, W., Chen, T.S., Wu, H.Y.: An improved reversible data hiding in encrypted images using side match. IEEE Sig. Process. Lett. 19(4), 199–202 (2012)

    Article  Google Scholar 

  10. Liao, X., Shu, C.: Reversible data hiding in encrypted images based on absolute mean difference of multiple neighboring pixels. J. Vis. Commun. Image Represent. 28, 21–27 (2015)

    Article  Google Scholar 

  11. Chandrasekaran, V., Sevugan, P.: Applying Reversible Data Hiding for Medical Images in Hybrid Domain Using Haar and Modified Histogram

    Google Scholar 

  12. Sachnev, V., Kim, H.J., Nam, J., Suresh, S., Shi, Y.Q.: Reversible watermarking algorithm using sorting and prediction. IEEE Trans. Circuits Syst. Video Technol. 19(7), 989–999 (2009)

    Article  Google Scholar 

  13. Gao, G., Shi, Y.Q.: Reversible data hiding using controlled contrast enhancement and integer wavelet transform. IEEE Sig. Process. Lett. 22(11), 2078–2082 (2015)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Debabala Swain .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Mondal, J., Swain, D., Panda, D.D. (2018). An Improved RDH Model for Medical Images with a Novel EPR Embedding Technique. In: Singh, M., Gupta, P., Tyagi, V., Flusser, J., Ören, T. (eds) Advances in Computing and Data Sciences. ICACDS 2018. Communications in Computer and Information Science, vol 905. Springer, Singapore. https://doi.org/10.1007/978-981-13-1810-8_42

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-1810-8_42

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1809-2

  • Online ISBN: 978-981-13-1810-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics