Skip to main content
Log in

Region of Interest-Based Tamper Detection and Lossless Recovery Watermarking Scheme (ROI-DR) on Ultrasound Medical Images

  • Published:
Journal of Digital Imaging Aims and scope Submit manuscript

Abstract

Tampering on medical image will lead to wrong diagnosis and treatment, which is life-threatening; therefore, digital watermarking on medical image was introduced to protect medical image from tampering. Medical images are divided into region of interest (ROI) and region of non-interest (RONI). ROI is an area that has a significant impact on diagnosis, whereas RONI has less or no significance in diagnosis. This paper has proposed ROI-based tamper detection and recovery watermarking scheme (ROI-DR) that embeds ROI bit information into RONI least significant bits, which will be extracted later for authentication and recovery process. The experiment result has shown that the ROI-DR has achieved a good result in imperceptibility with peak signal-to-noise ratio (PSNR) values approximately 48 dB, it is robust against various kinds of tampering, and the tampered ROI was able to recover to its original form. Lastly, a comparative table with the previous research (TALLOR and TALLOR-RS watermarking schemes) has been derived, where these three watermarking schemes were tested under the same testing conditions and environment. The experiment result has shown that ROI-DR has achieved speed-up factors of 22.55 and 26.65 in relative to TALLOR and TALLOR-RS watermarking schemes, respectively.

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

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20
Fig. 21

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  1. Guo X, Zhuang T: Lossless watermarking for verifying the integrity of medical images with tamper localization. J Digit Imaging 22:620–628, 2008

    Article  PubMed  PubMed Central  Google Scholar 

  2. Liew SC, Liew SW, Jasni MZ: Tamper localization and lossless recovery watermarking scheme with roi segmentation and multilevel authentication. J Digit Imaging 26(2):316–325, 2013

    Article  PubMed  Google Scholar 

  3. Rayachoti E, Edara SR: Robust medical image watermarking technique for accurate detection of tampers inside region of interest and recovering original region of interest. IET Image Process 9(8):615–625, 2015

    Article  Google Scholar 

  4. Wenbo D, Chueh LP, Yong LG: An improved tamper detection and localization scheme for volumetric DICOM images. J Digit Imaging 25(6):751–763, 2012

    Article  Google Scholar 

  5. Tan CK, Ng JC, Xu X, Poh CL, Guan YL, Sheah K: Security protection of dicom medical images using dual-layer reversible watermarking with tamper detection capability. J Digit Imaging 24(3):528–540, 2011

    Article  PubMed  Google Scholar 

  6. Memon NA, Gilani SAM, Asad Ali: Watermarking of chest CT scan medical images for content authentication. Proceeding of 2009 International Conference on Information and Communication Technologies, IEEE, 2009, pp. 175–180

  7. Fotopoulos V, Stavrinou ML, Skodras AN: Medical Image Authetication and Self Correction through an Adaptive Reversible Watermarking Technique. Proceedings of the 8th IEEE International Conference on BioInformatics and BioEngineering, IEEE, 2008, pp. 1–5. doi: 10.1109/BIBE.2008.4696803

  8. Huang H, Coatrieux G, Montagner J, Shu HZ, Luo LM, Roux Ch: Medical image integrity control seeking into the detail of the tampering. 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE, 2008, pp. 414–417. doi: 10.1109/IEMBS.2008.4649178

  9. Jasni MZ and Abdul RF: Medical image watermarking with tamper detection and recovery. Proceedings of the 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE, 2006, pp. 3270–3273

  10. Al-Qershi OM, Khoo BE: Authentication and data hiding using a hybrid ROI-based watermarking scheme for DICOM images. J Digit Imaging 24(1):114–125, 2011

    Article  PubMed  Google Scholar 

  11. Badran EF, Sharkas MA and Attallah OA: Multiple watermark embedding scheme in wavelet-spatial domains based on ROI of medical images. In Radio Science Conference, 2009. NRSC 2009. National, IEEE, 2009, pp. 1–8

  12. Coatrieux G, Puentes J, Roux C, Lamard M and Daccache W: January. A low distorsion and reversible watermark: application to angiographic images of the retina. In 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, IEEE, 2006, pp. 2224–2227

  13. Shih FY, Wu YT: Robust watermarking and compression for medical images based on genetic algorithms. J Inf Sci 175(3):200–216, 2005

    Article  Google Scholar 

  14. Lim SJ, Moon HM, Chae SH, Pan SB, Chung Y and Chang MH: December. Dual watermarking method for integrity of medical images. In 2008 Second International Conference on Future Generation Communication and Networking, Vol. 2, IEEE, 2008, pp. 70–73

  15. Liew SC: Tamper Localization and recovery watermarking schemes for medical images in PACS. Ph.D. Thesis. Malayisa: Universiti Malayisa Pahang, 2011

  16. Cox IJ, Miller ML, Bloom JA and Honsinger C: Digital watermarking (Vol. 1558607145). San Francisco: Morgan Kaufmann, 2002

  17. Smitha B and Navas KA: Spatial domain-high capacity data hiding in ROI images. In 2007 International Conference on Signal Processing, Communications and Networking, IEEE, 2007, pp. 528–533

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hui Liang Khor.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Khor, H.L., Liew, SC. & Zain, J.M. Region of Interest-Based Tamper Detection and Lossless Recovery Watermarking Scheme (ROI-DR) on Ultrasound Medical Images. J Digit Imaging 30, 328–349 (2017). https://doi.org/10.1007/s10278-016-9930-9

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10278-016-9930-9

Keywords

Navigation