An Adaptive Combination of Dark and Bright Channel Priors for Single Image Dehazing

Autor: Vincent Jacob Whannou de Dravo, Jean-Baptiste Thomas, Jon Yngve Hardeberg, Jessica El Khoury, Alamin Mansouri
Přispěvatelé: Laboratoire d'Electronique, d'Informatique et d'Image UMR CNRS 6306 ( Le2i ), Université de Technologie de Belfort-Montbeliard ( UTBM ) -Université de Bourgogne ( UB ) -École Nationale Supérieure d'Arts et Métiers ( ENSAM ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), Université Bourgogne Franche-Comté ( UBFC ), The Norwegian Colour and Visual Computing Laboratory, Norwegian University of Science and Technology ( NTNU ), Laboratoire d'Electronique, d'Informatique et d'Image [EA 7508] (Le2i), Université de Technologie de Belfort-Montbeliard (UTBM)-Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Université Bourgogne Franche-Comté [COMUE] (UBFC), Norwegian University of Science and Technology [Gjøvik] (NTNU), Norwegian University of Science and Technology (NTNU)-Norwegian University of Science and Technology (NTNU)
Rok vydání: 2017
Předmět:
Channel (digital image)
business.industry
Computer science
020206 networking & telecommunications
[ INFO.INFO-GR ] Computer Science [cs]/Graphics [cs.GR]
[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing
Astrophysics::Cosmology and Extragalactic Astrophysics
02 engineering and technology
General Chemistry
[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]
Atomic and Molecular Physics
and Optics
Computer Science Applications
Electronic
Optical and Magnetic Materials
[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]
Computer graphics (images)
[ INFO.INFO-TI ] Computer Science [cs]/Image Processing
Prior probability
0202 electrical engineering
electronic engineering
information engineering
020201 artificial intelligence & image processing
Computer vision
Artificial intelligence
Single image
business
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Zdroj: Journal of Imaging Science and Technology
Journal of Imaging Science and Technology, Is&t Society for Imaging Science and, 2017, 61 (4), pp.404081-404089. 〈http://www.ingentaconnect.com/content/10.2352/J.ImagingSci.Technol.2017.61.4.040408〉. 〈10.2352/J.ImagingSci.Technol.2017.61.4.040408〉
Journal of Imaging Science and Technology, Society for Imaging Science and Technology, 2017, 61 (4), pp.404081-404089. ⟨10.2352/J.ImagingSci.Technol.2017.61.4.040408⟩
ISSN: 1943-3522
1062-3701
DOI: 10.2352/j.imagingsci.technol.2017.61.4.040408
Popis: Dehazing methods based on prior assumptions derived from statistical image properties fail when these properties do not hold. This is most likely to happen when the scene contains large bright areas, such as snow and sky, due to the ambiguity between the airlight and the depth information. This is the case for the popular dehazing method Dark Channel Prior. In order to improve its performance, the authors propose to combine it with the recent multiscale STRESS, which serves to estimate Bright Channel Prior. Visual and quantitative evaluations show that this method outperforms Dark Channel Prior and competes with the most robust dehazing methods, since it separates bright and dark areas and therefore reduces the color cast in very bright regions. (c) 2017 Reprinted with permission of IS&T: The Society for Imaging Science and Technology sole copyright owners of the Journal of Imaging Science and Technology.
Databáze: OpenAIRE
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