A single image de-hazing algorithm based on hybrid filter

Wei-lan Wang, Youguang Chen
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Abstract

Images captured in foggy weather often suffer from bad visibility, because of bad atmospheric visibility. The existence of particles, dust and water impurities always fade the color and lead to a bad contrast of the observed objects. And then, we will feel indistinct by our eyes. We introduce a novel algorithm of single image that based on hybrid filter in this paper. The algorithm is based on an advanced median filter, and combined with average filter. The visibility of photos has been greatly improved by use of iteration. Experimental results on a variety of haze images demonstrate the effectiveness of the advanced method, which contains the fast speed of Median filter and also gets more distinct in details compared with other algorithms. The main advantage of the proposed algorithm compared with others is its speed. This speed allows visibility restoration to be applied for the first time within real-time processing applications such as sign, lane-marking and obstacle detection.
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一种基于混合滤波的单幅图像去雾算法
由于大气能见度差,在大雾天气中拍摄的图像往往能见度差。颗粒、灰尘和水杂质的存在总是使颜色褪色,导致观察到的物体对比度差。然后,我们会觉得我们的眼睛模糊不清。本文介绍了一种新的基于混合滤波的单幅图像提取算法。该算法基于一种先进的中值滤波器,并与平均滤波器相结合。通过迭代的使用,大大提高了照片的可见性。在各种雾霾图像上的实验结果证明了该方法的有效性,该方法不仅具有中值滤波速度快的优点,而且在细节上也比其他算法更加清晰。与其他算法相比,该算法的主要优点是速度快。这种速度使得能见度恢复首次应用于实时处理应用,如标志、车道标记和障碍物检测。
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