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Cited by 2,414

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Single image haze removal using dark channel prior

Kaiming He, Jian Sun, Xiaoou Tang·2009·2009 IEEE Conference on Computer Vision and Pattern Recognition

Abstract

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.

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Metadata

Authors
He, K., Sun, J., & Tang, X.
Venue
2009 IEEE Conference on Computer Vision and Pattern Recognition
Publisher
IEEE
Published
2009-06
Pages
1956-1963
ISSN
1063-6919 (ISSN-L)
OpenAlex
W1990592195
Cited by
2,414
References
1
FWCI
46.62
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Single image haze removal using dark channel prior. https://app.cochat.ai/papers/10.1109/cvpr.2009.5206515
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He, K., Sun, J., & Tang, X. (2009). Single image haze removal using dark channel prior. 2009 IEEE Conference on Computer Vision and Pattern Recognition. https://doi.org/10.1109/cvpr.2009.5206515

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