Title:
SingleImageHazeRemovalUsingDarkChannelPrior
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Description: 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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SingleImageHazeRemovalUsingDarkChannelPrior.pdf
