This paper reviews the second NTIRE challenge on image dehazing (restoration of rich details in hazy image) with focus on proposed solutions and results. The training data consists from 55 hazy images (with dense haze generated in an indoor or outdoor environment) and their corresponding ground truth (haze-free) images of the same scene. The dense haze has been produced using a professional haze/fog generator that imitates the real conditions of haze scenes. The evaluation consists from the comparison of the dehazed images with the ground truth images. The dehazing process was learnable through provided pairs of haze-free and hazy train images. There were ~ 270 registered participants and 23 teams competed in the final testing phase. They gauge the state-of-the-art in image dehazing.

Ancuti, C., Ancuti, C., Timofte, R., Van Gool, L., Zhang, L., Yang, M., et al. (2019). NTIRE 2019 image dehazing challenge report. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (pp.2241-2253). IEEE Computer Society [10.1109/CVPRW.2019.00277].

NTIRE 2019 image dehazing challenge report

Schettini R.;Bianco S.;Piccoli F.;Cusano C.;Celona L.;
2019

Abstract

This paper reviews the second NTIRE challenge on image dehazing (restoration of rich details in hazy image) with focus on proposed solutions and results. The training data consists from 55 hazy images (with dense haze generated in an indoor or outdoor environment) and their corresponding ground truth (haze-free) images of the same scene. The dense haze has been produced using a professional haze/fog generator that imitates the real conditions of haze scenes. The evaluation consists from the comparison of the dehazed images with the ground truth images. The dehazing process was learnable through provided pairs of haze-free and hazy train images. There were ~ 270 registered participants and 23 teams competed in the final testing phase. They gauge the state-of-the-art in image dehazing.
paper
image dehazing, image enhancement, cameras, graphics processing units, runtime, image restoration, generators, lighting, image color analysis
English
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019
2019
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
9781728125060
2019
2019-
2241
2253
9025690
none
Ancuti, C., Ancuti, C., Timofte, R., Van Gool, L., Zhang, L., Yang, M., et al. (2019). NTIRE 2019 image dehazing challenge report. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (pp.2241-2253). IEEE Computer Society [10.1109/CVPRW.2019.00277].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/273969
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