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A visual quality evaluation method for telemedicine applications

A visual quality evaluation method for telemedicine applications

Nasr, Karim M. ORCID: 0000-0002-8604-6274 and Martini, Maria G. (2017) A visual quality evaluation method for telemedicine applications. Signal Processing: Image Communication, 57. pp. 211-218. ISSN 0923-5965 (doi:https://doi.org/10.1016/j.image.2017.06.003)

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Abstract

We present a new approach for image and video quality evaluation in telemedicine applications, relying on the quality assessment of a pre-known reduced size logo embedded in an unused part of the medical ultrasound frame. The method is tested using two different objective metrics, namely: the Peak Signal to Noise Ratio (PSNR) and the Structural SIMilarity index (SSIM). Comparisons with subjective results in terms of Differential Mean Opinion Scores (DMOS) are also presented. We show that the presented method, not needing the original frame to predict the quality, achieves a high correlation with subjective results (more than 0.9) for the different quality metrics used. We also present relationships between the quality derived via the logo and via the original frame and we assess the overhead in data transmission resulting from the compressed logo data and its protection overhead.

Item Type: Article
Uncontrolled Keywords: visual quality evaluation, medical ultrasound, objective quality metrics, subjective quality metrics, medical quality of service/experience, wireless telemedicine
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Department of Engineering Science
Last Modified: 01 Oct 2019 14:25
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/25312

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