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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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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. |
format | Online Article Text |
id | pubmed-7700182 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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