A Fast Single Image Haze Removal Algorithm Using Color Attenuation Prior
A Fast Single Image Haze Removal Algorithm Using Color Attenuation Prior
复制标题
一种基于颜色衰减先验的快速单图像去雾算法
DOI：
10.1109/tip.2015.2446191
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发表时间：
2015-11-01
影响因子：
10.6
通讯作者：
Shao, Ling
中科院分区：
文献类型：
--
作者：
Zhu, Qingsong;Mai, Jiaming;Shao, Ling
由于单帧图像的病态性，其去雾一直是一个具有挑战性的问题。在本文中，我们提出了一个简单但强大的颜色衰减之前，从一个单一的输入模糊图像的烟雾消除。在此先验知识下，通过建立模糊图像的场景深度线性模型，并采用监督学习方法学习模型参数，可以很好地恢复深度信息。利用雾天图像的深度图，通过大气散射模型可以很容易地估计出透过率并恢复场景的辐射亮度，从而有效地去除单幅图像中的雾天。实验结果表明，该方法在去雾效率和去雾效果方面均优于现有的去雾算法。
Single image haze removal has been a challenging problem due to its ill-posed nature. In this paper, we propose a simple but powerful color attenuation prior for haze removal from a single input hazy image. By creating a linear model for modeling the scene depth of the hazy image under this novel prior and learning the parameters of the model with a supervised learning method, the depth information can be well recovered. With the depth map of the hazy image, we can easily estimate the transmission and restore the scene radiance via the atmospheric scattering model, and thus effectively remove the haze from a single image. Experimental results show that the proposed approach outperforms state-of-the-art haze removal algorithms in terms of both efficiency and the dehazing effect.