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Neural Computing and Applications
Erschienen in: Neural Computing and Applications 4/2021

26.05.2020 | Original Article

A new standardisation and selection framework for real-time image dehazing algorithms from multi-foggy scenes based on fuzzy Delphi and hybrid multi-criteria decision analysis methods

verfasst von: Karrar Hameed Abdulkareem, Nureize Arbaiy, A. A. Zaidan, B. B. Zaidan, O. S. Albahri, M. A. Alsalem, Mahmood M. Salih

Erschienen in: Neural Computing and Applications | Ausgabe 4/2021

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Abstract

Given the rapid development of dehazing image algorithms, selecting the optimal algorithm based on multiple criteria is crucial in determining the efficiency of an algorithm. However, a sufficient number of criteria must be considered when selecting an algorithm in multiple foggy scenes, including inhomogeneous, homogenous and dark foggy scenes. However, the selection of an optimal real-time image dehazing algorithm based on standardised criteria presents a challenge. According to previous studies, a standardisation and selection framework for real-time image dehazing algorithms based on multi-foggy scenes is not yet available. To address this gap, this study proposes a new standardisation and selection framework based on fuzzy Delphi (FDM) and hybrid multi-criteria analysis methods. Experiments are also conducted in three phases. Firstly, the image dehazing criteria are standardised based on FDM. Secondly, an evaluation experiment is conducted based on standardised criteria and nine real-time image dehazing algorithms to obtain a multi-perspective matrix. Third, entropy and VIKOR methods are hybridised to determine the weight of the standardised criteria and to rank the algorithms. Three rules are applied in the standardisation process to determine the criteria. To objectively validate the selection results, mean is applied for this purpose. The results of this work can be taken into account in designing efficient methods and metrics for image dehazing.
Nächster Artikel Fuzzy-aided solution for out-of-view challenge in visual tracking under IoT-assisted complex environment

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Metadaten
Titel
A new standardisation and selection framework for real-time image dehazing algorithms from multi-foggy scenes based on fuzzy Delphi and hybrid multi-criteria decision analysis methods
verfasst von
Karrar Hameed Abdulkareem
Nureize Arbaiy
A. A. Zaidan
B. B. Zaidan
O. S. Albahri
M. A. Alsalem
Mahmood M. Salih
Publikationsdatum
26.05.2020
Verlag
Springer London
Erschienen in
Neural Computing and Applications / Ausgabe 4/2021
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-020-05020-4

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