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 based on a key

observation- most local patches in haze-free outdoor images

contain some pixels which have very low intensities in

at least one color channel. Using this prior with the haze

imaging model, we can directly estimate the thickness of the

haze and recover a high quality haze-free image. Results on

a variety of outdoor haze images demonstrate the power of

the proposed prior. Moreover, a high quality depth map can

also be obtained as a by-product of haze removal.