Title
Visibility dehazing based on channel-weighted analysis and illumination tuning.
Abstract
The air pollution and foggy weather often result in serious distortion while taking photos or recognizing patterns. He et al. have introduced the dark channel prior to solve this dehazing problem. Unfortunately, it cannot function well once the color difference of target image is large. More precisely, the dehazed result looks unnatural. Thus, we aim to develop a brand-new visibility dehazing technique based on the channel-weighted analysis and illumination tuning. The channel-weighted analysis is adopted to eliminate the unnatural effect, while the illumination tuning is applied to refine the details. Simulation results have demonstrated that the new method can guarantee the readability of a hazed image after removing noise, including the foggy photo and sandstorm one.
Year
DOI
Venue
2019
10.1007/s11042-018-6280-2
Multimedia Tools Appl.
Keywords
Field
DocType
Visibility, Dehaze, Dark channel, Illumination, Fog, Sandstorm
Computer vision,Visibility,Pattern recognition,Computer science,Communication channel,Readability,Artificial intelligence,Distortion,Color difference
Journal
Volume
Issue
ISSN
78
2
1573-7721
Citations 
PageRank 
References 
1
0.35
12
Authors
3
Name
Order
Citations
PageRank
Jung-San Lee135330.52
Chih-Hsuan Li210.35
Hsin-Yu Lee310.35