DocumentCode :
3050132
Title :
Research on image dehazing algorithms based on physical model
Author :
Liu, Qiaoling ; Zhang, Hongying ; Lin, Maosong ; Wu, Yadong
Author_Institution :
Sch. of Inf. Eng., Southwest Univ. of Sci. & Technol., Mianyang, China
fYear :
2011
fDate :
26-28 July 2011
Firstpage :
467
Lastpage :
470
Abstract :
Image dehazing is an important problem of common concern in image processing and computer vision areas. Recently, most researchers have adopted physical model based image dehazing to remove haze, in which dark channel prior law has achieved very good results in dealing with single images of outdoor scenes for image dehazing. Applying the theory of dark channel prior to estimate the atmosphere light A is a reliable method. Based on these, this paper studies five typical dehazing algorithms based on physical model and compares the advantages and disadvantages of these algorithms through a plenty of simulation experiments. It is some reference value to the researches in this filed with our studies.
Keywords :
computer vision; image restoration; natural scenes; atmosphere light estimation; computer vision; dark channel prior law; image dehazing algorithm; image processing; outdoor scenes; physical model; Atmospheric modeling; Computational modeling; Computer vision; Image color analysis; Image restoration; Mathematical model; atmosphere scattering model; atmospheric light; dark channel prior; image dehazing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-61284-771-9
Type :
conf
DOI :
10.1109/ICMT.2011.6003078
Filename :
6003078
Link To Document :
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