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Single Image Haze Removal Using Dark Channel Prior

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3 Author(s)
Kaiming He ; The Chinese University of Hong Kong, Hong Kong ; Jian Sun ; Xiaoou Tang

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.

Published in:

IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:33 ,  Issue: 12 )