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首页> 外文会议>International conference on graphic and image processing >Fast Image Dehazing Based on Non-local Saturation
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Fast Image Dehazing Based on Non-local Saturation

机译：基于非局部饱和度的快速图像去雾

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In this paper, a method based on non-local saturation algorithm is proposed to avoid block and halo effect for single image dehazing with dark channel prior. First we convert original image from RGB color space into HSV color space with the idea of non-local method. Image saturation is weighted equally by the size of fixed window according to image resolution. Second we utilize the saturation to estimate the atmospheric light value and transmission rate. Then through the function of saturation and transmission, the haze-free image is obtained based on the atmospheric scattering model. Comparing the results of existing methods, our method can restore image color and enhance contrast. We guarantee the proposed method with quantitative and qualitative evaluation respectively. Experiments show the better visual effect with high efficiency.
机译：提出了一种基于非局部饱和度算法的方法，可以避免暗通道先行的单幅图像去雾时产生的块效应和光晕效应。首先，我们使用非局部方法将原始图像从RGB颜色空间转换为HSV颜色空间。图像饱和度根据图像分辨率由固定窗口的大小平均加权。其次，我们利用饱和度来估算大气光值和透射率。然后通过饱和和透射的功能，基于大气散射模型获得无雾图像。比较现有方法的结果，我们的方法可以恢复图像色彩并增强对比度。我们保证所提方法的定量和定性评估。实验表明，较高的视觉效果具有较高的效率。

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