@misc{10481/70921,
year = {2021},
month = {9},
url = {http://hdl.handle.net/10481/70921},
abstract = {Images captured under bad weather conditions (e.g., fog, haze, mist, dust, etc.), suffer from
poor contrast and visibility, and color distortions. The severity of this degradation depends on the
distance, the density of the atmospheric particles and the wavelength. We analyzed eight single
image dehazing algorithms representative of different strategies and originally developed for RGB
images, over a database of hazy spectral images in the visible range. We carried out a brute force
search to find the optimum three wavelengths according to a new combined image quality metric.
The optimal triplet of monochromatic bands depends on the dehazing algorithm used and, in most
cases, the different bands are quite close to each other. According to our proposed combined metric,
the best method is the artificial multiple exposure image fusion (AMEF). If all wavelengths within the
range 450–720 nm are used to build a sRGB renderization of the imagaes, the two best-performing
methods are AMEF and the contrast limited adaptive histogram equalization (CLAHE), with very
similar quality of the dehazed images. Our results show that the performance of the algorithms
critically depends on the signal balance and the information present in the three channels of the input
image. The capture time can be considerably shortened, and the capture device simplified by using a
triplet of bands instead of the full wavelength range for dehazing purposes, although the selection of
the bands must be performed specifically for a given algorithm.},
organization = {Spanish Ministry of Science Innovation and Universities (MICINN)	RTI2018-094738-B-100},
organization = {Junta de Andalucia	A-TIC-050-UGR18},
organization = {European Commission},
publisher = {MDPI},
keywords = {Dehazing},
keywords = {Hyperspectral},
keywords = {Band selection},
keywords = {Image quality metric},
title = {Band Selection for Dehazing Algorithms Applied to Hyperspectral Images in the Visible Range},
doi = {10.3390/s21175935},
author = {Fernández Carvelo, Sol and Martínez Domingo, Miguel Ángel and Valero Benito, Eva María and Romero Mora, Francisco Javier and Nieves Gómez, Juan Luis and Hernández Andrés, Javier},
}