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- W2125318705 abstract "Single image haze removal (or de-haze) using dark channel prior model is effective when there exists a dark channel within the image. So for the images which do not meet the dark channel prior, the haze removal result may appear light pollution, cross-color. In this paper, we propose an algorithm to judge whether a single image meets the dark channel prior, and for the image that fails to meet the prior, it eliminates the cross-color influence in the image after de-hazing. Experimental results show that ours can determine whether the image meets dark channel prior, and has the better de-haze effect." @default.
- W2125318705 created "2016-06-24" @default.
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- W2125318705 date "2011-06-01" @default.
- W2125318705 modified "2023-09-22" @default.
- W2125318705 title "Single image haze removal to deal with cross-color" @default.
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- W2125318705 doi "https://doi.org/10.1109/rsete.2011.5964142" @default.
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