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Optimum watermark detection of ultrasonic echo medical images
Author(s) -
Khawne Amnach,
Attachoo Boonwat,
Hamamoto Kazuhiko
Publication year - 2015
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.22047
Subject(s) - watermark , digital watermarking , computer science , echo (communications protocol) , pseudorandom number generator , artificial intelligence , computer vision , cauchy distribution , generalized normal distribution , statistical power , encryption , gaussian , image (mathematics) , pattern recognition (psychology) , algorithm , mathematics , computer security , normal distribution , statistics , physics , quantum mechanics
To prevent unauthorized access to a person's medical images, it is widely acknowledged that the security features of confidentiality, availability and integrity should be in place. This paper proposes the watermarking of ultrasonic echo images together with optimal watermark detection, in which pseudorandom noise is added to the images for integrity. The optimum watermark detection is the integration of the generalized Gaussian distribution ( ρ ‐GGD) and the Cauchy distribution. The results show that the proposed method gives good detection performance. The proposed method not merely achieves optimum detection using the Rao test but also leads to the highest detection probability with JPEG2000 compression. Compared with other detection methods, our proposed method exhibits better watermark detection performance even when the watermark‐to‐document ratio (WDR) is −50 dB. © 2014 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.