Single image dehazing has been a challenging problem because of its ill-posed nature. For this reason, numerous efforts have been made in the field of haze removal. This paper proposes a simple, fast, and powerful algorithm for haze removal. The medium transmission is derived as a function of the saturation of the scene radiance only, and the saturation of scene radiance is estimated using a simple stretching method. A different medium transmission can be estimated for each pixel because this method does not assume that transmission is constant in a small patch. Furthermore, this paper presents a color veil removing algorithm, which is useful for an image with fine or yellow dust, using the white balance technique. The proposed algorithm requires no training, prior, and refinement process. The simulation results show that the proposed dehazing scheme outperforms state-of-theart dehazing approaches in terms of both computational complexity and dehazing efficiency.

中文翻译：

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使用基于饱和的传输图估计快速进行单图像去雾。

单图像去雾由于其不适性而一直是一个具有挑战性的问题。因此，在除雾领域中已经做出了许多努力。本文提出了一种简单，快速，强大的除雾算法。仅根据场景辐射的饱和度导出媒体传输，并使用简单的拉伸方法估算场景辐射的饱和度。可以为每个像素估计不同的媒体传输，因为此方法不假定传输在一个小块中是恒定的。此外，本文提出了一种使用白色平衡技术的彩色面纱去除算法，该算法可用于灰尘或黄尘图像。所提出的算法不需要训练，先验和完善过程。