Generalized Polarimetric Dehazing Method Based on Low-Pass Filtering in Frequency Domain.
dehazing
frequency domain
polarimetric imaging
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
20 Mar 2020
20 Mar 2020
Historique:
received:
31
01
2020
revised:
15
03
2020
accepted:
16
03
2020
entrez:
5
4
2020
pubmed:
5
4
2020
medline:
5
4
2020
Statut:
epublish
Résumé
Polarimetric dehazing methods can significantly enhance the quality of hazy images. However, current methods are not robust enough under different imaging conditions. In this paper, we propose a generalized polarimetric dehazing method based on low-pass filtering in the frequency domain. This method can accurately estimate the polarized state of the scattering light automatically without adjusting bias parameters. Experimental results show the effectiveness and robustness of our proposed method in different hazy weather and scattering underwater environments with different densities. Furthermore, computational efficiency is enhanced more than 70% compared to the polarimetric dehazing method we proposed previously.
Identifiants
pubmed: 32244850
pii: s20061729
doi: 10.3390/s20061729
pmc: PMC7146207
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : West Light Foundation of the Chinese Academy of Sciences
ID : XAB2017B20
Organisme : China Scholarship Council
ID : 201804910323
Organisme : National Natural Science Foundation of China
ID : 61505246
Organisme : National Natural Science Foundation of China
ID : 61535015
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