Visibility Restoration: A Systematic Review and Meta-Analysis

Image acquisition is a complex process that is affected by a wide variety of internal and environmental factors. Hence, visibility restoration is crucial for many high-level applications in photography and computer vision. This paper provides a systematic review and meta-analysis of visibility resto...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2021-04, Vol.21 (8), p.2625
Main Authors: Ngo, Dat, Lee, Seungmin, Ngo, Tri Minh, Lee, Gi-Dong, Kang, Bongsoon
Format: Article
Language:English
Subjects:
Algorithms
Atmospheric aerosols
Computer vision
Digital cameras
Haze
haze removal
Image acquisition
image defogging
image dehazing
Light
Maximum likelihood estimates
Meta-analysis
Optics
Researchers
Sensors
Systematic Review
Visibility
visibility enhancement
Weather
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Summary:Image acquisition is a complex process that is affected by a wide variety of internal and environmental factors. Hence, visibility restoration is crucial for many high-level applications in photography and computer vision. This paper provides a systematic review and meta-analysis of visibility restoration algorithms with a focus on those that are pertinent to poor weather conditions. This paper starts with an introduction to optical image formation and then provides a comprehensive description of existing algorithms as well as a comparative evaluation. Subsequently, there is a thorough discussion on current difficulties that are worthy of a scientific effort. Moreover, this paper proposes a general framework for visibility restoration in hazy weather conditions while using haze-relevant features and maximum likelihood estimates. Finally, a discussion on the findings and future developments concludes this paper.
ISSN:1424-8220
1424-8220
DOI:10.3390/s21082625