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

Hui, Liang Khor and Liew, Siau-Chuin and Jasni, Mohamad Zain (2017) Region of Interest-Based Tamper Detection and Lossless Recovery Watermarking Scheme (ROI-DR) on Ultrasound Medical Images. Journal of Digital Imaging. pp. 1-22. ISSN 0897-1889. (Published)

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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.

Item Type: Article
Additional Information: Indexed by WOS; IF:1.407; JCR® Category:RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING (Q3)
Uncontrolled Keywords: Watermarking; Region of interest (ROI); Least significant bit (LSB); Speed up; Tamper detection; Recovery
Subjects: Q Science > QA Mathematics > QA76 Computer software
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 28 Aug 2017 08:34
Last Modified: 21 May 2018 02:11
URI: http://umpir.ump.edu.my/id/eprint/16594
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