Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Jessica El-Khoury"'
Publikováno v:
Transformative Works and Cultures, Vol 15 (2014)
n this initial attempt to bring volunteering, or what we call on-ground fan labor, into the ongoing discussion of fan productivity, we examine volunteer motivations as elicited through interview and participant observation data collected at a 2012 ge
Externí odkaz:
https://doaj.org/article/4b6f3a2bfeac41039354f86eb539e56b
Publikováno v:
DESALINATION AND WATER TREATMENT. 155:259-271
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030519346
ICISP
Image and Signal Processing
ICISP
Image and Signal Processing
We introduce a new database to promote visibility enhancement techniques intended for spectral image dehazing. SHIA (Spectral Hazy Image database for Assessment) is composed of two real indoor scenes M1 and M2 of 10 levels of fog each and their corre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbefdef9e793952235cbab3d682db8a3
https://hal.science/hal-02465691
https://hal.science/hal-02465691
Publikováno v:
Southwestern Mass Communication Journal. 29
In 2011, civil unrest erupted in Egypt quickly gaining a popular momentum that further led to the demise of President Hosni Mubarak. While certain media initially described the revolt as a Facebook revolution, this study specifically evaluated whethe
Publikováno v:
Multimedia Tools and Applications
Multimedia Tools and Applications, Springer Verlag, 2018, 77 (12), pp.15409-15430. ⟨10.1007/s11042-017-5122-y⟩
Multimedia Tools and Applications, Springer Verlag, 2018, 77 (12), pp.15409-15430. ⟨10.1007/s11042-017-5122-y⟩
International audience; Image dehazing is the process of enhancing a color image of a natural scene that contains an undesirable veil of fog for visualization or as a pre-processing step for computer vision systems. In this work, we investigate the p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e3bc956d884d8c75158250011a9155f
https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01858884
https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01858884
Publikováno v:
Journal of Imaging Science and Technology
Journal of Imaging Science and Technology, Society for Imaging Science and Technology, 2018, 62 (1), pp.105031-1050313. ⟨10.2352/J.ImagingSci.Technol.2018.62.1.010503⟩
Journal of Imaging Science and Technology, Society for Imaging Science and Technology, 2018, 62 (1), pp.105031-1050313. ⟨10.2352/J.ImagingSci.Technol.2018.62.1.010503⟩
International audience; In this article, the authors introduce a new color image database, CHIC (Color Hazy Images for Comparison), devoted to haze model assessment and dehazing method evaluation. For three real scenes, they provide two illumination
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0311c4811f343b2325cd0fa6c57bedff
https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01861339
https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01861339
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319942100
ICISP
ICISP
The haze model, which describes the degradation of atmospheric visibility, is a good approximation for a wide range of weather conditions and several situations. However, it misrepresents the perceived scenes and causes therefore undesirable results
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f6751c52bb1356dd4af39ae57d1757b
https://doi.org/10.1007/978-3-319-94211-7_52
https://doi.org/10.1007/978-3-319-94211-7_52
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319336176
ICISP
Image and Signal Processing 7th International Conference, ICISP 2016, Trois-Rivières, QC, Canada, May 30-June 1, 2016, Proceedings
7th International Conference on Image and Signal Processing (ICISP 2016)
7th International Conference on Image and Signal Processing (ICISP 2016), May 2016, Trois-Rivières, Canada. pp.109-117, ⟨10.1007/978-3-319-33618-3_12⟩
7th International Conference on Image and Signal Processing (ICISP 2016), May 2016, Trois-Rivières, Canada. Image and Signal Processing 7th International Conference, ICISP 2016, Trois-Rivières, QC, Canada, May 30-June 1, 2016, Proceedings, 9680, pp.109-117, 2016, Lecture Notes in Computer Science. 〈10.1007/978-3-319-33618-3_12〉
ICISP
Image and Signal Processing 7th International Conference, ICISP 2016, Trois-Rivières, QC, Canada, May 30-June 1, 2016, Proceedings
7th International Conference on Image and Signal Processing (ICISP 2016)
7th International Conference on Image and Signal Processing (ICISP 2016), May 2016, Trois-Rivières, Canada. pp.109-117, ⟨10.1007/978-3-319-33618-3_12⟩
7th International Conference on Image and Signal Processing (ICISP 2016), May 2016, Trois-Rivières, Canada. Image and Signal Processing 7th International Conference, ICISP 2016, Trois-Rivières, QC, Canada, May 30-June 1, 2016, Proceedings, 9680, pp.109-117, 2016, Lecture Notes in Computer Science. 〈10.1007/978-3-319-33618-3_12〉
International audience; One of the major issues related to dehazing methods (single or multiple image based) evaluation is the absence of the haze-free image (ground-truth). This is also a problem when it concerns the validation of Koschmieder model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::080c1fe529832bf4baf0152021aa1f0f
https://doi.org/10.1007/978-3-319-33618-3_12
https://doi.org/10.1007/978-3-319-33618-3_12
Autor:
Vincent Jacob Whannou de Dravo, Jean-Baptiste Thomas, Jon Yngve Hardeberg, Jessica El Khoury, Alamin Mansouri
Publikováno v:
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⟩
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⟩
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
Publikováno v:
SITIS 2014
SITIS 2014, Nov 2014, Marrakech, Morocco. 2014, 〈10.1109/SITIS.2014.78〉
SITIS
SITIS 2014, Nov 2014, Marrakech, Morocco. ⟨10.1109/SITIS.2014.78⟩
SITIS 2014, Nov 2014, Marrakech, Morocco. 2014, 〈10.1109/SITIS.2014.78〉
SITIS
SITIS 2014, Nov 2014, Marrakech, Morocco. ⟨10.1109/SITIS.2014.78⟩
International audience; —Image dehazing aims at estimating the image information lost caused by the presence of fog, haze and smoke in the scene during acquisition. Degradation causes a loss in contrast and color information, thus enhancement becom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c17143081c1f5ba6da173020277f372
https://hal.archives-ouvertes.fr/hal-01202981/file/SITIS_Article.pdf
https://hal.archives-ouvertes.fr/hal-01202981/file/SITIS_Article.pdf