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Medical images protection and authentication using hybrid DWT-DCT and SHA256-MD5 hash functions
ICECS 2017 - 24th IEEE International Conference on Electronics, Circuits and Systems
  • Alavi Kunhu, University of Dubai
  • Hussain Al-Ahmad, University of Dubai
  • Fatma Taher, Zayed University
Document Type
Conference Proceeding
Publication Date
2-14-2018
Abstract

© 2017 IEEE. This paper deals with a blind digital watermarking technique for the ownership protection and content authentication of X-ray and MRI medical images. Extreme care is required before embedding watermarking information in medical images, to protect the image quality to avoid the wrong diagnosis. The proposed watermarking technique contains a robust watermark for the ownership protection and fragile watermarks for the content authentication. In the watermarking technique, the medical image is divided into regions and the watermark information is embedded in both the transform domain and the spatial domain. The proposed watermarking technique was successfully tested on a variety of X-ray and MRI medical images and offered high peak signal to noise ratios, similarity structure index measure values and wavelet domain signal to noise rations.

ISBN
9781538619117
Publisher
Institute of Electrical and Electronics Engineers Inc.
Disciplines
Keywords
  • Medical image,
  • ROI,
  • RONI,
  • WSNR
Scopus ID
85047324431
Indexed in Scopus
Yes
Open Access
No
https://doi.org/10.1109/ICECS.2017.8292084
Citation Information
Alavi Kunhu, Hussain Al-Ahmad and Fatma Taher. "Medical images protection and authentication using hybrid DWT-DCT and SHA256-MD5 hash functions" ICECS 2017 - 24th IEEE International Conference on Electronics, Circuits and Systems Vol. 2018-January (2018) p. 397 - 400
Available at: http://works.bepress.com/fatma-taher/26/