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 :
بازگشت