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Secured Telemedicine Using Region-Based Watermarking with Tamper Localization

Overview of attention for article published in Journal of Digital Imaging, May 2014
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Title
Secured Telemedicine Using Region-Based Watermarking with Tamper Localization
Published in
Journal of Digital Imaging, May 2014
DOI 10.1007/s10278-014-9709-9
Pubmed ID
Authors

Ali Al-Haj, Alaa’ Amer

Abstract

Medical images exchanged over public networks require a methodology to provide confidentiality for the image, authenticity of the image ownership and source of origin, and image integrity verification. To provide these three security requirements, we propose in this paper a region-based algorithm based on multiple watermarking in the frequency and spatial domains. Confidentiality and authenticity are provided by embedding robust watermarks in the region-of-non-interest (RONI) of the image using a blind scheme in the discrete wavelet transform and singular value decomposition domain (DWT-SVD). On the other hand, integrity is provided by embedding local fragile watermarks in the region-of-interest (ROI) of the image using a reversible scheme in the spatial domain. The integrity provided by the proposed algorithm is implemented on a block-level of the partitioned-image, thus enabling localized detection of tampered regions. The algorithm was evaluated with respect to imperceptibility, robustness, capacity, and tamper localization capability, using MRI, Ultrasound, and X-ray gray-scale medical images. Performance results demonstrate the effectiveness of the proposed algorithm in providing the required security services for telemedicine applications.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 2%
Unknown 56 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 16%
Student > Ph. D. Student 8 14%
Researcher 7 12%
Student > Doctoral Student 5 9%
Professor > Associate Professor 4 7%
Other 9 16%
Unknown 15 26%
Readers by discipline Count As %
Computer Science 13 23%
Engineering 10 18%
Medicine and Dentistry 4 7%
Nursing and Health Professions 3 5%
Psychology 2 4%
Other 6 11%
Unknown 19 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 July 2015.
All research outputs
#17,721,395
of 22,756,196 outputs
Outputs from Journal of Digital Imaging
#806
of 1,049 outputs
Outputs of similar age
#155,148
of 226,629 outputs
Outputs of similar age from Journal of Digital Imaging
#15
of 19 outputs
Altmetric has tracked 22,756,196 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,049 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 226,629 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.