The dynamic transmission map for dehazing method in single image with tropical atmospheric condition

Normally, outdoor images are degraded by light scattering and absorption from the atmosphere's dust, mist, haze, and smoke. These affect the image captured and cause poor visibility, dimmed luminosity, low contrast, and colour distortion. Therefore, it is crucial to restoring images captured, e...

全面介紹

Saved in:
書目詳細資料
Main Authors: Noor Asma Husain, Mohd Shafry Mohd Rahim, Sarudin Kari, Abdullah Bade, Huma Chaudhry
格式: Article
語言:English
English
出版: 2021 Little Lion Scientific 2021
主題:
在線閱讀:https://eprints.ums.edu.my/id/eprint/31709/1/The%20dynamic%20transmission%20map%20for%20dehazing%20method%20in%20single%20image%20with%20tropical%20atmospheric%20condition.pdf
https://eprints.ums.edu.my/id/eprint/31709/2/The%20dynamic%20transmission%20map%20for%20dehazing%20method%20in%20single%20image%20with%20tropical%20atmospheric%20condition1.pdf
https://eprints.ums.edu.my/id/eprint/31709/
http://www.jatit.org/volumes/Vol99No3/15Vol99No3.pdf
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!
實物特徵
總結:Normally, outdoor images are degraded by light scattering and absorption from the atmosphere's dust, mist, haze, and smoke. These affect the image captured and cause poor visibility, dimmed luminosity, low contrast, and colour distortion. Therefore, it is crucial to restoring images captured, especially in haze conditions called image dehazing. The crucial aim of image dehazing is to improve the details on visibility, edge, and texture and retain the structure and colours of the image without data loss. Most algorithmic methods, considering the large number of algorithms suggested for single image dehazing, introduce dehazing at a certain haze level. There is a lack of a dehazing algorithm focused on the visibility range to overcome several haze levels. This paper proposes an improvement of the dehazing algorithm based on the meteorological visibility range with a dynamic transmission map to fix this problem This algorithm focuses on removing haze at different levels based on the determination of the visibility range, which is different from most existing dehazing algorithms. The dehazing algorithm emphasizes this proposed method contribute to better image quality than the existing state-of-the-art dehazing process.