Single Image Dehazing Algorithm Analysis with Hyperspectral Images in the Visible Range

In 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 appl...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 20; H. 22; S. 6690
Hauptverfasser:	Martínez-Domingo, Miguel Ángel, Valero, Eva M., Nieves, Juan L., Molina-Fuentes, Pedro Jesús, Romero, Javier, Hernández-Andrés, Javier
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 23.11.2020 MDPI
Schlagworte:	Algorithms Color defogging dehazing Experiments Image databases image quality Methods spectral imaging wavelength
ISSN:	1424-8220, 1424-8220
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Abstract	In 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.
AbstractList	In 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. In 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.In 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.
Author	Nieves, Juan L. Molina-Fuentes, Pedro Jesús Hernández-Andrés, Javier Martínez-Domingo, Miguel Ángel Romero, Javier Valero, Eva M.
AuthorAffiliation	Department of Optics, Faculty of Science, University of Granada, 18071 Granada, Spain; martinezm@ugr.es (M.Á.M.-D.); jnieves@ugr.es (J.L.N.); pedromf@correo.ugr.es (P.J.M.-F.); jromero@ugr.es (J.R.); javierha@ugr.es (J.H.-A.)
AuthorAffiliation_xml	– name: Department of Optics, Faculty of Science, University of Granada, 18071 Granada, Spain; martinezm@ugr.es (M.Á.M.-D.); jnieves@ugr.es (J.L.N.); pedromf@correo.ugr.es (P.J.M.-F.); jromero@ugr.es (J.R.); javierha@ugr.es (J.H.-A.)
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