Skip to main content

Implementation of Medical Image Watermarking Technique Using FPGA

  • Conference paper
  • First Online:
Advances in Computing and Data Sciences (ICACDS 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 721))

Included in the following conference series:

Abstract

Protection and confidentiality are essential for Medical Image Watermarking because thorough analysis on health pictures is needed for proper diagnosis. In this paper we address this problem and designed a watermarking algorithm for medical images. Protection resolutions are increasingly joined alongside biomedical images. The patient data and patient fingerprint are added to the medical images, without disturbing the essential information in an image. Consequently, watermarking algorithms that involve embedding the patient report and finger print are proposed. In this method we are separating Region of Interest and Region of noninterest pixels from medical image using MATLAB. We have used RONI for adding watermark (patient report and fingerprint) to the medical cover image. In this paper we designed a new method to protect and authenticate medical images. We developed Independent Component Analysis on A Field programmable Gate Array (FPGA) and applied to RONI image that enables the addition of watermark. In this way X ray or scan report are utilized for watermark creation and for patient authentication. The aim of proposed technique is assembly of Independent Component Analysis watermarking to insert two autonomous data’s for accuracy and authentication.

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

Access this chapter

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

Institutional subscriptions

References

  1. Al-Otum, H.: Semi-fragile watermarking for grayscale image authentication and tamper detection based on an adjusted expanded-bit multiscale quantization-based technique. J. Vis. Commun. Image Represent. 25(5), 1064–1081 (2014)

    Article  Google Scholar 

  2. Bounkong, S., Toch, B., Saad, D., Lowe, D.: ICA for watermarking digital images. J. Mach. Learn. Res. 4, 1471–1498 (2003)

    MATH  Google Scholar 

  3. Hajisami, A., Hosseini, S.: Application of ICA in watermarking. In: Gupta, M.D., (ed) Watermarking, vol. 1. InTech (2012)

    Google Scholar 

  4. Rao, N., Thrimurthy, P., Babu, B.: A novel scheme for digital rights management of images using biometrics. Int. J. Comput. Sci. Netw. Security 9(3), 157–167 (2009)

    Google Scholar 

  5. Giakoumaki, A., Pavlopoulos, S., Koutsouris, D.: Multiple image watermarking applied to health information management. IEEE Trans. Inf. Technol. Biomed. 10(4), 722–732 (2006)

    Article  Google Scholar 

  6. Wójtowicz, W., Ogiela, M.R.: Digital images authentication scheme based on bimodal biometric watermarking in an independent domain. J. Vis. Commun. Image Represent. 38, 1–10 (2016)

    Article  Google Scholar 

  7. Badakhshannoory, H., Saeedi, P.: A model-based validationscheme for organ segmentation in CT scan volumes. IEEE Trans. Biomed. Inf. 58(9), 2681–2693 (2011)

    Article  Google Scholar 

  8. Forouzan, A.H., Zoroofi, R.A., Hori, M., Sato, Y.: Liver segmentation by intensity analysis and anatomical information in multislice CT images. Intensity Anal. Anat. Inf. Multi-slice CT Images 4, 287–297 (2009). In: Proceedings of Liver Segment

    Google Scholar 

  9. Memon, N.A., Gilani, S.A.M., Qayoom, S.: Multiple watermarking of medical images for content authentication and recovery. IEEE (2009)

    Google Scholar 

  10. Shoshan, Y., Fish, A., Li, X., Jullien, G.A., Yadid-Pecht, O.: VLSI watermark implementations and applications. Int. J. Inf. Technol. Knowl. 2(4), 379–386 (2008)

    Google Scholar 

  11. Grzeszczak, A., Mandal, M.K., Panchanathan, S.: VLSI implementation of discrete wavelet transform. IEEE Trans. Very Large Scale Integr. Syst. 4(4), 421–433 (1996)

    Article  Google Scholar 

  12. Sharma, S., Tim, U.S., Gadia, S., Wong, J.: Growing Cloud Density& as-a-Service Modality and OTH-CLOUD Class (2015)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to S. Sivakannan .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer Nature Singapore Pte Ltd.

About this paper

Cite this paper

Sivakannan, S., Thirugnanam, G., Mangaiyarkarasi, P. (2017). Implementation of Medical Image Watermarking Technique Using FPGA. In: Singh, M., Gupta, P., Tyagi, V., Sharma, A., Ören, T., Grosky, W. (eds) Advances in Computing and Data Sciences. ICACDS 2016. Communications in Computer and Information Science, vol 721. Springer, Singapore. https://doi.org/10.1007/978-981-10-5427-3_16

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-5427-3_16

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5426-6

  • Online ISBN: 978-981-10-5427-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics