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首页> 外文会议>IEEE International Conference on Image Processing >Nighttime haze removal based on a new imaging model
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Nighttime haze removal based on a new imaging model

机译：基于新成像模型的夜间雾霾消除

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摘要

Nighttime haze removal is important for different applications such as nighttime video surveillance in haze environment. Different from the imaging conditions in the daytime, nighttime haze images may suffer from non-uniform illumination from artificial light sources. In this paper, we proposed a novel efficient dehazing method with illumination estimation for nighttime haze condition. First, we estimate the light intensity and enhance it to obtain an illumination balanced result. Then, we process a color correction step after estimating the color characteristics of the incident light. Finally, we remove the haze by using the dark channel prior along with estimating the pointwise environmental light. Experimental results show that the proposed method can achieve both illumination balanced and haze free results. Moreover, it also has good color rendition ability.
机译：夜间雾霾对于不同的应用（例如雾霾环境中的夜间视频监控）非常重要。与白天的成像条件不同，夜间雾霾图像可能会受到来自人造光源的不均匀照明的影响。在本文中，我们提出了一种新的有效的除雾方法，该方法针对夜间雾霾条件进行了照明估计。首先，我们估算光强度并增强它以获得照明平衡的结果。然后，我们在估计入射光的颜色特征之后执行颜色校正步骤。最后，我们先使用暗通道消除雾霾，然后估算点状环境光。实验结果表明，该方法既可以达到光照平衡，又可以实现无雾效果。而且，它还具有良好的显色能力。

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