Single Image Dehazing Algorithm Analysis with Hyperspectral Images in the Visible Range
Metadatos
Afficher la notice complèteAuteur
Martínez Domingo, Miguel Ángel; Valero Benito, Eva María; Nieves Gómez, Juan Luis; Molina Fuentes, Pedro Jesús; Romero Mora, Francisco Javier; Hernández Andrés, JavierEditorial
Mdpi
Materia
Dehazing Defogging Spectral imaging Image quality Wavelength
Date
2020-11-23Referencia bibliográfica
Martínez-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]
Patrocinador
Spanish Ministry of Science Innovation and Universities (MICINN) RTI2018-094738-B-I00; Junta de Andalucía A-TIC-050-UGR18; European Union (EU)Résumé
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.