该论文是CVPR2009最佳论文，提出了一种新的图像去雾方法。-In this paper, we propose a simple but effective image prior- dark channel prior to remove haze from a single input image. The dark channel prior is a kind of statistics of the haze-free outdoor images. It is bas

黑通道去雾算法：主要是寻找图像的黑通道来估计光照，再通过图像融合技术，实现图像去雾-Black channel to fog algorithm: The main is to find an image of the black channel to estimate the light, and then through the image fusion technology, image to fog

我们提出了一种简单但是有效的图像先验规律——暗原色先验来为单一输入图像去雾。暗原色先验来自对户外无雾图像数据库的统计规律，它基于经观察得到的这么一个关键事实——绝大多数的户外无雾图像的每个局部区域都存在某些至少一个颜色通道的强度值很低的像素。利用这个先验建立的去雾模型，我们可直接估算雾的浓度并且复原得到高质量的去除雾干扰的图像。对户外各种不同的带雾图像的处理结果表明了 dark channel prior的巨大作用。同时，作为去雾过程中的副产品，我们还可获得该图像高质量的深度图。-we prop

何恺明等人研究出的基于暗通道的经典图像去雾算法，不仅可以还原图像的颜色和能见度，同时也能利用雾的浓度来估计物体的距离。(The classic fog removal algorithm based on dark channel, which was developed by He Kaiming and others, not only can restore the color and visibility of images, but also can estimate the dist