TY - GEN
T1 - Evaluation of Fog Reduction Algorithms for Photogrammetric Applications in Agriculture
AU - Chavarria-Zamora, Luis Alberto
AU - Arriola-Valverde, Sergio
AU - Rimolo-Donadio, Renato
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/9/12
Y1 - 2018/9/12
N2 - Haze is a natural scaterring effect of light that can blur images, lowering their quality and difficulting the scene analysis. In this paper, several state-of-the-art dehazing algorithms are evaluated through a subjective method for image quality assesment. The Dark Channel Prior algorithm, which resulted the best option within the evaluated algorithms, was further optimized by manipulating color spaces before its application in order to achieve a better reconstruction of the images.
AB - Haze is a natural scaterring effect of light that can blur images, lowering their quality and difficulting the scene analysis. In this paper, several state-of-the-art dehazing algorithms are evaluated through a subjective method for image quality assesment. The Dark Channel Prior algorithm, which resulted the best option within the evaluated algorithms, was further optimized by manipulating color spaces before its application in order to achieve a better reconstruction of the images.
KW - Color Space
KW - Dark Channel Prior
KW - Dehazing
KW - Fog Reduction
KW - Histogram Equalization
KW - Retinex
KW - UAS
UR - https://www.scopus.com/pages/publications/85054491231
U2 - 10.1109/IWOBI.2018.8464186
DO - 10.1109/IWOBI.2018.8464186
M3 - Contribución a la conferencia
AN - SCOPUS:85054491231
SN - 9781538675069
T3 - 2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018 - Proceedings
BT - 2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018
Y2 - 18 July 2018 through 20 July 2018
ER -