文件名称:SingleImageHazeRemovalUsingDarkChannelPrior
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- 图形图像处理(光照,映射..)
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- [PDF]
- 上传时间：
- 2012-11-26
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- 2.52mb
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- ste***
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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.
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