Fast Visibility Restoration Using a Single Degradation Image in Scattering Media

Visibility restoration of an image degraded by scattering media (such as haze, fog, smog) is a challenging task which requires careful design of computational methods. The fundamental problem which limits clear image reconstruction is the random diffusion of light in the scattering medium. Recently,...

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Bibliographic Details
Published inIEEE photonics journal Vol. 12; no. 3; pp. 1 - 13
Main Authors Wang, Yingbo, Cao, Jie, Xu, Chengqiang, Rizvi, Saad, Li, Kun, Hao, Qun
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 01.06.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Atmospheric modeling
atmospheric optics
Channel estimation
Computational efficiency
Computing time
Fog
Haze
Image degradation
Image edge detection
Image reconstruction
Image restoration
Image segmentation
Image transmission
Media
Military applications
Optimization
propagation and scattering
Remote sensing
Scattering
Smog
turbid media
Visibility
Visibility restoration
Weather
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Summary:Visibility restoration of an image degraded by scattering media (such as haze, fog, smog) is a challenging task which requires careful design of computational methods. The fundamental problem which limits clear image reconstruction is the random diffusion of light in the scattering medium. Recently, the dark channel prior method has emerged as a powerful approach for haze removal under adverse weather conditions. However, this method requires high computational time, and fails to achieve haze-free image in the sky region. To overcome these problems, we propose a novel imaging method based on quadtree theory combined with transmission optimization (QTCTO) to restore the visibility of images degraded by scattering medium. The proposed method uses the quadtree theory (for region segmentation) to estimate the global atmospheric light, while the transmission in the media is estimated by coefficient modification for the dark channel. The experimental results show that the proposed method is robust against scattering (under smoke and turbid water conditions) and has the advantage of low computational time. The proposed method can be used for security surveillance, remote sensing, and various military applications.
ISSN:1943-0655
1943-0647
DOI:10.1109/JPHOT.2020.2988279