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-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.
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Datasets
| Task | Dataset | Model | Metric Name | Metric Value | Global Rank | Benchmark |
|---|---|---|---|---|---|---|
| Single Image Dehazing | UIEB | Bradley-Terry model | L2 Norm | minimum is better | # 1 |
