Comprehensive Review of Machine Learning (ML) in Image Defogging: Taxonomy of Concepts, Scenes, Feature Extraction, and Classification techniques

Comprehensive Review of Machine Learning (ML) in Image Defogging: Taxonomy of Concepts, Scenes, Feature Extraction, and Classification techniques

Abstract Images captured through a visual sensory system are degraded in a foggy scene, which negatively influences recognition, tracking, and detection of targets. Efficient tools are needed to detect, pre‐process, and enhance foggy scenes. Machine learning (ML) has a significant role in image defo...

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Bibliographic Details
Main Authors: Zainab Hussein Arif, Moamin A. Mahmoud, Karrar Hameed Abdulkareem, Mazin Abed Mohammed, Mohammed Nasser Al‐Mhiqani, Ammar Awad Mutlag, Robertas Damaševičius
Format: Article
Language:English
Published: Wiley 2022-02-01
Series:IET Image Processing
Subjects:
Optical, image and video signal processing
Image recognition
Image sensors
Other topics in statistics
Computer vision and image processing techniques
Online Access:https://doi.org/10.1049/ipr2.12365

Internet

https://doi.org/10.1049/ipr2.12365

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