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dc.contributor.authorMartínez Domingo, Miguel Ángel
dc.contributor.authorValero Benito, Eva María
dc.contributor.authorNieves Gómez, Juan Luis
dc.contributor.authorMolina Fuentes, Pedro Jesús
dc.contributor.authorRomero Mora, Francisco Javier
dc.contributor.authorHernández Andrés, Javier
dc.date.accessioned2021-02-01T09:48:14Z
dc.date.available2021-02-01T09:48:14Z
dc.date.issued2020-11-23
dc.identifier.citationMartínez-Domingo, M. Á., Valero, E. M., Nieves, J. L., Molina-Fuentes, P. J., Romero, J., & Hernández-Andrés, J. (2020). Single Image Dehazing Algorithm Analysis with Hyperspectral Images in the Visible Range. Sensors, 20(22), 6690. [doi:10.3390/s20226690]es_ES
dc.identifier.urihttp://hdl.handle.net/10481/66164
dc.description.abstractIn foggy or hazy conditions, images are degraded due to the scattering and attenuation of atmospheric particles, reducing the contrast and visibility and changing the color. This degradation depends on the distance, the density of the atmospheric particles and the wavelength. We have tested and applied five single image dehazing algorithms, originally developed to work on RGB images and not requiring user interaction and/or prior knowledge about the images, on a spectral hazy image database in the visible range. We have made the evaluation using two strategies: the first is based on the analysis of eleven state-of-the-art metrics and the second is two psychophysical experiments with 126 subjects. Our results suggest that the higher the wavelength within the visible range is, the higher the quality of the dehazed images. The quality increases for low haze/fog levels. The choice of the best performing algorithm depends on the criterion prioritized by the metric design strategy. The psychophysical experiment results show that the level of agreement between observers and metrics depends on the criterion set for the observers’ task.es_ES
dc.description.sponsorshipSpanish Ministry of Science Innovation and Universities (MICINN) RTI2018-094738-B-I00es_ES
dc.description.sponsorshipJunta de Andalucía A-TIC-050-UGR18es_ES
dc.description.sponsorshipEuropean Union (EU)es_ES
dc.language.isoenges_ES
dc.publisherMdpies_ES
dc.rightsAtribución 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectDehazinges_ES
dc.subjectDefogginges_ES
dc.subjectSpectral imaginges_ES
dc.subjectImage qualityes_ES
dc.subjectWavelengthes_ES
dc.titleSingle Image Dehazing Algorithm Analysis with Hyperspectral Images in the Visible Rangees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.3390/s20226690
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


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Atribución 3.0 España
Except where otherwise noted, this item's license is described as Atribución 3.0 España