A New Blind Video Quality Metric for Assessing Different Turbulence Mitigation Algorithms

Although many algorithms have been proposed to mitigate air turbulence in optical videos, there do not seem to be consistent blind video quality assessment metrics that can reliably assess different approaches. Blind video quality assessment metrics are necessary because many videos containing air t...

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Published in:Electronics (Basel) 2021-09, Vol.10 (18), p.2277
Main Authors: Kwan, Chiman, Budavari, Bence
Format: Article
Language:English
Subjects:
Algorithms
Deep learning
Image quality
Quality assessment
Registration
Turbulence
Video
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description Although many algorithms have been proposed to mitigate air turbulence in optical videos, there do not seem to be consistent blind video quality assessment metrics that can reliably assess different approaches. Blind video quality assessment metrics are necessary because many videos containing air turbulence do not have ground truth. In this paper, a simple and intuitive blind video quality assessment metric is proposed. This metric can reliably and consistently assess various turbulent mitigation algorithms for optical videos. Experimental results using more than 10 videos in the literature show that the proposed metrics correlate well with human subjective evaluations. Compared with an existing blind video metric and two other blind image quality metrics, the proposed metrics performed consistently better.
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subjects Algorithms
Deep learning
Image quality
Quality assessment
Registration
Turbulence
Video
title A New Blind Video Quality Metric for Assessing Different Turbulence Mitigation Algorithms
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