DOIONLINE 
DOIONLINE Publish In |
International Journal of Electrical, Electronics and Data Communication (IJEEDC)-IJEEDC |
 Journal Home Volume Issue |
||||||||
Issue |
Volume-6,Issue-4 ( Apr, 2018 ) | |||||||||
Paper Title |
Dehazing Technique based on Channel-Weighted Analysis and Illumination Tuning | |||||||||
Author Name |
Jung-San Lee, Chih-Hsuan Li, Hsin-Yu Lee | |||||||||
Affilition |
Information Engineering and Computer Science,Feng Chia University | |||||||||
Pages |
50-55 | |||||||||
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, such as the foggy photo. Keywords - Visibility, Dehaze, Dark channel, Illumination, Fog | |||||||||
| View Paper | ||||||||||
