Robust Single-Image Haze Removal Using Optimal Transmission Map and Adaptive Atmospheric Light
Haze removal is an ill-posed problem that has attracted much scientific interest due to its various practical applications. Existing methods are usually founded upon various priors; consequently, they demonstrate poor performance in circumstances in which the priors do not hold. By examining hazy an...
Main Authors: | Dat Ngo, Seungmin Lee, Bongsoon Kang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-07-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/12/14/2233 |
Similar Items
-
Haziness Degree Evaluator: A Knowledge-Driven Approach for Haze Density Estimation
by: Dat Ngo, et al.
Published: (2021-06-01) -
MCPA: A Fast Single Image Haze Removal Method Based on the Minimum Channel and Patchless Approach
by: Chiou-Shann Fuh, et al.
Published: (2022-01-01) -
Real-Time Haze Removal Using Normalised Pixel-Wise Dark-Channel Prior and Robust Atmospheric-Light Estimation
by: Yutaro Iwamoto, et al.
Published: (2020-02-01) -
Improved Color Attenuation Prior for Single-Image Haze Removal
by: Dat Ngo, et al.
Published: (2019-09-01) -
A Semiphysical Approach of Haze Removal for Landsat Image
by: Feng Liu, et al.
Published: (2021-01-01)