DocumentCode
183121
Title
Single image haze removal using dark channel prior and fields of experts model
Author
Pucheng Zhou ; Yuan Zhou
Author_Institution
AnHui Province Key Lab. of Polarization Imaging Detection Technol., Hefei, China
fYear
2014
fDate
19-21 Aug. 2014
Firstpage
820
Lastpage
824
Abstract
The quality of images taken outsides will be impaired severely in bad weather conditions, such as haze, mist, fog or rain. In this paper, to improve the visibility with only single hazy image, a kind of haze removal algorithm is proposed. Firstly, the raw atmospheric transmission map is estimated by use of the dark channel prior. And then, Fields of Experts model is adopted to amend the raw atmosphere transmission map. Finally, the scene albedo is restored based on the atmosphere scattering model. Experiments on a variety of outdoor hazy images verify the feasibility and validity of our algorithm.
Keywords
image denoising; image restoration; atmosphere scattering model; dark channel prior; expert model; hazy image; image quality; raw atmospheric transmission map; single image haze removal algorithm; weather conditions; Atmospheric modeling; Computational modeling; Computer vision; Equations; Image restoration; Mathematical model; Fields of Experts model; dark channel prior; haze removal; image restoration;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2014 11th International Conference on
Conference_Location
Xiamen
Print_ISBN
978-1-4799-5147-5
Type
conf
DOI
10.1109/FSKD.2014.6980943
Filename
6980943
Link To Document