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Cited 14 time in webofscience Cited 17 time in scopus
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Quality assessment for wireless capsule endoscopy videos compressed via HEVC: From diagnostic quality to visual perception

Authors
Usman, Muhammad ArslanUsman, Muhammad RehanShin, Soo Young
Issue Date
1-Dec-2017
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Keywords
Full reference; High efficiency video coding; Objective video quality assessment; Quantization parameter; Subjective video quality assessment
Citation
COMPUTERS IN BIOLOGY AND MEDICINE, v.91, pp.112 - 134
Journal Title
COMPUTERS IN BIOLOGY AND MEDICINE
Volume
91
Start Page
112
End Page
134
URI
https://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/434
DOI
10.1016/j.compbiomed.2017.10.007
ISSN
0010-4825
Abstract
Maintaining the quality of medical images and videos is an essential part of the e-services provided by the healthcare sector. The convergence of modern communication systems and the healthcare industry necessitates the provision of better quality of service and experience by the service provider. Recent inclusion and standardization of the high efficiency video coder (HEVC) has made it possible for medical data to be compressed and transmitted over wireless networks with minimal compromise of the quality. Quality evaluation and assessment of these medical videos transmitted over wireless networks is another important research area that requires further exploration and attention. In this paper, we have conducted an in-depth study of video quality assessment for compressed wireless capsule endoscopy (WCE) videos. Our study includes the performance evaluation of several state-of-the-art objective video quality metrics in terms of determining the quality of compressed WCE videos. Subjective video quality experiments were conducted with the assistance of experts and non-experts in order to predict the diagnostic and visual quality of these medical videos, respectively. The evaluation of the metrics is based on three major performance metrics that include, correlation between the subjective and objective scores, relative statistical performance and computation time. Results show that the metrics information fidelity criterion (IFC), visual information fidelity-(VIF) and especially pixel based VIF stand out as best performing metrics. Furthermore, our paper reports the performance of HEVC compression on medical videos and according to the results, it performs optimally in preserving the diagnostic and visual quality of WCE videos at Quantization Parameter (QP) values of up to 35 and 37 respectively.
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