Abstract
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.
Highlights
Compared with an existing blind video metric and two other blind image quality metrics, the Received: 13 August 2021Air turbulence can seriously distort image proposed metrics performed consistently better.contents and can negatively afAccepted: September 2021Published: September 2021Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published and institumaps tional affiliations.Citation: Kwan, C.; Budavari, B
Can the use of additional alignment and registration techniques alongside the well-known method Complex waveLEt fusionfusion for Atmospheric tuRbulence (CLEAR) [11] improve air turbulence mitigation? Third, is the existing blind video quality metric known as Video Intrinsic Integrity and Distortion Evaluation Oracle (VIIDEO) [16] suitable for assessing turbulence mitigation algorithms? Answering this will motivate new research in blind video quality assessment for turbulence mitigation
The approach proposed by Mao et al [13] makes some decent improvements to preThe approach proposed by Mao et al [13] makes some decent improvements to vious air turbulence mitigation methods
Summary
Compared with an existing blind video metric and two other blind image quality metrics, the Received: 13 August 2021. It was tailored towards assessing compressed video quality At this time, there does not seem to exist a consistent blind video quality assessment tool for evaluating different turbulence mitigation algorithms. A new blind video quality metric for assessing different turbulence mitigation algorithms is proposed. Is the existing blind video quality metric known as VIIDEO [16] suitable for assessing turbulence mitigation algorithms? A new blind video quality assessment metric for assessing turbulence mitigation algorithms is proposed. The new metric combines both intra-frame and inter-frame qualities in videos This metric is consistent with subjective evaluations, meaning that the new metric can help differentiate algorithms that are too close in visual inspection. In. Section 3, the proposed blind video quality assessment metric and a workflow for performing air turbulence mitigation are explained in detail.
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