An Improved Air-Light Estimation Scheme for Single Haze Images Using Color Constancy Prior

Hazy environment attenuates the scene radiance and causes difficulty in distinguishing the color and texture of the scene. A crucial step in dehazing is the recovery of the global air-light vector. Traditional methods usually interpret the RGB value of the brightest region in haze images as the air-...

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Bibliographic Details
Published in:IEEE signal processing letters 2020, Vol.27, p.1695-1699
Main Authors: Gautam, Sidharth, Gandhi, Tapan Kumar, Panigrahi, B.K.
Format: Article
Language:English
Subjects:
Air-light estimation
Atmospheric modeling
Brightness
Channel estimation
Color
Computational modeling
dehazing
Estimation
Haze
Image color analysis
Indexes
Light
Radiance
Recovery
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Summary:Hazy environment attenuates the scene radiance and causes difficulty in distinguishing the color and texture of the scene. A crucial step in dehazing is the recovery of the global air-light vector. Traditional methods usually interpret the RGB value of the brightest region in haze images as the air-light. In this letter, a new prior called 'color constancy prior' has been proposed to improve the robustness of air-light estimation when varicolored illumination exists. The prior utilizes the statistical observation that distant scenery objects become the most haze-opaque due to the pixel escalation towards the higher intensity side. The comparative evaluation on a variety of haze images manifests that the proposed prior perform better than existing air-light recovery methods and can be used for subsequent dehazing applications.
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2020.3025462