DocumentCode :
2453533
Title :
Method and Application of Image Clearness in Bad Weather
Author :
Wang Jin-song ; An Chao ; Yi Peng
Author_Institution :
Coll. of Comput. Sci. & Technol., Chongqing Univ. of Posts & Telecommun., Chongqing, China
Volume :
3
fYear :
2010
fDate :
12-14 April 2010
Firstpage :
40
Lastpage :
44
Abstract :
Aiming at degraded phenomena of images taken in bad weather, in this paper, a new entirely self - adapting method of image clearness is proposed on the basis of an atmospheric scattering model. First, under the gray distributing characteristics of a degraded image, we can get the optimal normal distribution. Second, the gray mean of the sky distribution can be obtained according to the optimal normal distribution. At the same time, to use the gray histogram segments this original image, and we can obtain the iso-depth neighborhoods. Last, employing the model lists equations, and the values of normalized radiance can be gotten. Thereby, the overcast of degraded images can be cleared. Experiments show the method can effectively improve degraded images in bad weather.
Keywords :
image processing; normal distribution; atmospheric scattering model; bad weather; degraded image; degraded phenomena; gray distributing characteristics; gray histogram; gray mean; image clearness; iso-depth neighborhoods; model lists equations; normalized radiance; optimal normal distribution; self-adapting method; sky distribution; Arithmetic; Atmospheric modeling; Degradation; Educational institutions; Gaussian distribution; Histograms; Image restoration; Image segmentation; Layout; Scattering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Mobile Computing (CMC), 2010 International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-6327-5
Electronic_ISBN :
978-1-4244-6328-2
Type :
conf
DOI :
10.1109/CMC.2010.194
Filename :
5471318
Link To Document :
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