Color-Dense Illumination Adjustment Network for Removing Haze and Smoke from Fire Scenario Images
The atmospheric particles and aerosols from burning usually cause visual artifacts in single images captured from fire scenarios. Most existing haze removal methods exploit the atmospheric scattering model (ASM) for visual enhancement, which inevitably leads to inaccurate estimation of the atmospher...
Main Authors: | Chuansheng Wang, Jinxing Hu, Xiaowei Luo, Mei-Po Kwan, Weihua Chen, Hao Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-01-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/22/3/911 |
Similar Items
-
New Technique for Aerosol Detection in Haze Day Using Side‐Scattering Lidar and Its Inversion Method
by: Zhenzhu Wang, et al.
Published: (2020-01-01) -
Aerosol Optical Properties and Contribution to Differentiate Haze and Haze-Free Weather in Wuhan City
by: Miao Zhang, et al.
Published: (2020-03-01) -
Secondary aerosol formation promotes water uptake by organic-rich wildfire haze particles in equatorial Asia
by: Chen, Jing, et al.
Published: (2018) -
Did the widespread haze pollution over China increase during the last decade? A satellite view from space
by: Minghui Tao, et al.
Published: (2016-01-01) -
Image Dehazing in Disproportionate Haze Distributions
by: Shih-Chia Huang, et al.
Published: (2021-01-01)