NTIRE 2020 Challenge on NonHomogeneous Dehazing
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2020
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Conference Paper
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Abstract
This paper reviews the NTIRE 2020 Challenge on Non-Homogeneous Dehazing of images (restoration of rich details in hazy image). We focus on the proposed solutions and their results evaluated on NH-Haze, a novel dataset consisting of 55 pairs of real haze free and nonhomogeneous hazy images recorded outdoor. NH-Haze is the first realistic nonhomogeneous haze dataset that provides ground truth images. The nonhomogeneous haze has been produced using a professional haze generator that imitates the real conditions of haze scenes. 168 participants registered in the challenge and 27 teams competed in the final testing phase. The proposed solutions gauge the state-of-the-art in image dehazing. © 2020 IEEE.
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published
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2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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2029 - 2044
Publisher
IEEE
Event
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2020) (virtual)
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Notes
Due to the Corona virus (COVID-19) the conference was conducted virtually.