Issue No. 12 - December (2011 vol. 33)
Kaiming He , The Chinese University of Hong Kong, Hong Kong
Jian Sun , Microsoft Research Asia, Beijing
Xiaoou Tang , The Chinese University of Hong Kong , Hong Kong
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 outdoor haze-free images. It is based on a key observation—most local patches in outdoor haze-free images contain some pixels whose intensity is very low 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 hazy images demonstrate the power of the proposed prior. Moreover, a high-quality depth map can also be obtained as a byproduct of haze removal.
Dehaze, defog, image restoration, depth estimation.
J. Sun, K. He and X. Tang, "Single Image Haze Removal Using Dark Channel Prior," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 33, no. , pp. 2341-2353, 2010.