A Multi-Purpose Realistic Haze Benchmark With Quantifiable Haze Levels and Ground Truth

Imagery collected from outdoor visual environments is often degraded due to the presence of dense smoke or haze. A key challenge for research in scene understanding in these degraded visual environments (DVE) is the lack of representative benchmark datasets. These datasets are required to evaluate s...

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Publié dans:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 32(2023) vom: 23., Seite 3481-3492
Auteur principal: Narayanan, Priya (Auteur)
Autres auteurs: Hu, Xin, Wu, Zhenyu, Thielke, Matthew D, Rogers, John G, Harrison, Andre V, D'Agostino, John A, Brown, James D, Quang, Long P, Uplinger, James R, Kwon, Heesung, Wang, Zhangyang
Format: Article en ligne
Langue:English
Publié: 2023
Accès à la collection:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:Journal Article