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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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Autores principales: Martínez-Domingo, Miguel Ángel, Valero, Eva M., Nieves, Juan L., Molina-Fuentes, Pedro Jesús, Romero, Javier, Hernández-Andrés, Javier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7700182/
https://www.ncbi.nlm.nih.gov/pubmed/33238413
http://dx.doi.org/10.3390/s20226690
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author Martínez-Domingo, Miguel Ángel
Valero, Eva M.
Nieves, Juan L.
Molina-Fuentes, Pedro Jesús
Romero, Javier
Hernández-Andrés, Javier
author_facet Martínez-Domingo, Miguel Ángel
Valero, Eva M.
Nieves, Juan L.
Molina-Fuentes, Pedro Jesús
Romero, Javier
Hernández-Andrés, Javier
author_sort Martínez-Domingo, Miguel Ángel
collection PubMed
description 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.
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spelling pubmed-77001822020-11-30 Single Image Dehazing Algorithm Analysis with Hyperspectral Images in the Visible Range Martínez-Domingo, Miguel Ángel Valero, Eva M. Nieves, Juan L. Molina-Fuentes, Pedro Jesús Romero, Javier Hernández-Andrés, Javier Sensors (Basel) Article 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. MDPI 2020-11-23 /pmc/articles/PMC7700182/ /pubmed/33238413 http://dx.doi.org/10.3390/s20226690 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Martínez-Domingo, Miguel Ángel
Valero, Eva M.
Nieves, Juan L.
Molina-Fuentes, Pedro Jesús
Romero, Javier
Hernández-Andrés, Javier
Single Image Dehazing Algorithm Analysis with Hyperspectral Images in the Visible Range
title Single Image Dehazing Algorithm Analysis with Hyperspectral Images in the Visible Range
title_full Single Image Dehazing Algorithm Analysis with Hyperspectral Images in the Visible Range
title_fullStr Single Image Dehazing Algorithm Analysis with Hyperspectral Images in the Visible Range
title_full_unstemmed Single Image Dehazing Algorithm Analysis with Hyperspectral Images in the Visible Range
title_short Single Image Dehazing Algorithm Analysis with Hyperspectral Images in the Visible Range
title_sort single image dehazing algorithm analysis with hyperspectral images in the visible range
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7700182/
https://www.ncbi.nlm.nih.gov/pubmed/33238413
http://dx.doi.org/10.3390/s20226690
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