INSTITUTIONAL DIGITAL REPOSITORY

NTIRE 2019 image dehazing challenge report

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dc.contributor.author Ancuti, C. O.
dc.contributor.author Ancuti, C.
dc.contributor.author Timofte, R.
dc.contributor.author Gool, L. V.
dc.contributor.author Zhang, L.
dc.contributor.author Yang, M. H.
dc.contributor.author Guo, T.
dc.contributor.author Li, X.
dc.contributor.author Cherukuri, V.
dc.contributor.author Monga, V.
dc.contributor.author Jiang, H.
dc.contributor.author Yang, S.
dc.contributor.author Liu, Y.
dc.contributor.author Qu, X.
dc.contributor.author Wan, P.
dc.contributor.author Park, D.
dc.contributor.author Chun, S. Y.
dc.contributor.author Hong, M.
dc.contributor.author Huang, J.
dc.contributor.author Chen, Y.
dc.contributor.author Chen, S.
dc.contributor.author Wang, B.
dc.contributor.author Michelini, P. N.
dc.contributor.author Liu, H.
dc.contributor.author Zhu, D.
dc.contributor.author Liu, J.
dc.contributor.author Santra, S.
dc.contributor.author Mondal, R.
dc.contributor.author Chanda, B.
dc.contributor.author Morales, P.
dc.contributor.author Klinghoffer, T.
dc.contributor.author Quan, L. M.
dc.contributor.author Kim, Y. G.
dc.contributor.author Liang, X.
dc.contributor.author Li, R.
dc.contributor.author Pan, J.
dc.contributor.author Tang, J.
dc.contributor.author Purohit, K.
dc.contributor.author Suin, M.
dc.contributor.author Rajagopalan, A. N.
dc.contributor.author Schettini, R.
dc.contributor.author Bianco, S.
dc.contributor.author Piccoli, F.
dc.contributor.author Cusano, C.
dc.contributor.author Celona, L.
dc.contributor.author Hwang, S.
dc.contributor.author Ma, Y. S.
dc.contributor.author Byun, H.
dc.contributor.author Murala, S.
dc.contributor.author Dudhane, A.
dc.contributor.author Aulakh, H.
dc.contributor.author Zheng, T.
dc.contributor.author Zhang, T.
dc.contributor.author Qin, W.
dc.contributor.author Zhou, R.
dc.contributor.author Wang, S.
dc.contributor.author Tarel, J. P.
dc.contributor.author Wang, C.
dc.contributor.author Wu, J.
dc.date.accessioned 2021-08-21T12:00:49Z
dc.date.available 2021-08-21T12:00:49Z
dc.date.issued 2021-08-21
dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/2438
dc.description.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. en_US
dc.language.iso en_US en_US
dc.title NTIRE 2019 image dehazing challenge report en_US
dc.type Article en_US


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