A novel multi-perspective benchmarking framework for selecting image dehazing intelligent algorithms based on BWM and group VIKOR techniques

KH Abdulkareem, N Arbaiy, AA Zaidan… - … Journal of Information …, 2020 - World Scientific
The increasing demand for image dehazing-based applications has raised the value of
efficient evaluation and benchmarking for image dehazing algorithms. Several perspectives …

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

KH Abdulkareem, N Arbaiy, AA Zaidan… - Neural Computing and …, 2021 - Springer
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 …

[PDF][PDF] Map** and Deep Analysis of Image Dehazing: Coherent Taxonomy, Datasets, Open Challenges, Motivations, and Recommendations.

KH Abdulkareem, N Arbaiy, ZH Arif… - … Journal of Interactive …, 2021 - researchgate.net
Our study aims to review and analyze the most relevant studies in the image dehazing field.
Many aspects have been deemed necessary to provide a broad understanding of various …

An anisotropic Gaussian filtering model for image de-hazing

H Fu, W Liu, H Chen, Z Wang - IEEE Access, 2020 - ieeexplore.ieee.org
This paper proposes a de-hazing algorithm on the basis of the anisotropic Gaussian filtering
method to overcome some essential limitations of the DCP-based (the dark channel prior …

Multi-feature-based bilinear CNN for single image dehazing

H Fu, B Wu, Y Shao - IEEE Access, 2019 - ieeexplore.ieee.org
Image dehazing has been a great challenge in the process of adjusting haze images. In this
paper, an effective and accurate dehazing method based on atmospheric scattering model …

DLT-Net: deep learning transmittance network for single image haze removal

B Li, J Zhao, H Fu - Signal, Image and Video Processing, 2020 - Springer
Outdoor images taken in inclement weather conditions are often contaminated with colloidal
particles and droplet in the atmosphere. These captured images are susceptible to low …

Deeplearning method for single image dehazing based on HSI colour space.

C Yong, TAO Meifeng… - Journal of …, 2021 - search.ebscohost.com
Thetraditionalsingleimagedehazingalgorith… distortion. Anew methodofdeeplearningmulti-scaleconvolutionneuralnetworkbasedonHSI…
dehazingisproposedinthispaper, whichdirectlylearnsthemap**relationship …

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

AAZ Al-Juboori - 2022 - ir.upsi.edu.my
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 …

Map** and Deep Analysis of Image Dehazing: Coherent Taxonomy, Datasets, Open Challenges, Motivations, and Recommendations

K Hameed Abdulkareem, N Arbaiy, Z Hussein Arif… - 2021 - reunir.unir.net
Our study aims to review and analyze the most relevant studies in the image dehazing field.
Many aspects have been deemed necessary to provide a broad understanding of various …

A new multiperspective framework for standardization and benchmarking of image dehazing algorithms

KH Abdulkareem - 2021 - eprints.uthm.edu.my
A standardization and benchmarking framework for image dehazing algorithms based on
multiple perspectives is not yet available. Hence, this study proposed a new multi …