DocumentCode :
2238900
Title :
The research of intelligent method for blurring image reconstruction
Author :
Qing Tian ; Rong Wang
Author_Institution :
Res. Inst., Minist. of Public Security, Beijing, China
fYear :
2012
fDate :
Oct. 30 2012-Nov. 1 2012
Firstpage :
201
Lastpage :
205
Abstract :
The restoration methods of foggy blurring image and fast movement blurring image are researched in this paper. Hue saturation adjustment method, Retinex method and the dark channel prior method are all used for restoring foggy blurring image. POCS method and bicubic interpolation methods are all used for restoring fast movement blurring image. The experimental results show that the restoration image of foggy degradation image obtained by using dark channel prior method is better than the ones obtained by Retinex algorithm and hue saturation adjustment method, in which the color and detail information are all recovered well; POCS and bicubic interpolation super-resolution methods can all recover lots of information lost in low-resolution images, suitable for high-resolution reconstruction image.
Keywords :
image colour analysis; image resolution; image restoration; interpolation; set theory; POCS method; Retinex method; bi-cubic interpolation super-resolution methods; blurring image reconstruction; color information; dark channel prior method; detail information; fast movement blurring image; foggy blurring image; high-resolution reconstruction image; hue saturation adjustment method; image restoration methods; intelligent method; low-resolution images; projection onto convex sets; Degradation; Estimation; Image color analysis; Image reconstruction; Image resolution; Image restoration; Interpolation; Foggy removal; Interpolation; POCS; Retinex;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud Computing and Intelligent Systems (CCIS), 2012 IEEE 2nd International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-1855-6
Type :
conf
DOI :
10.1109/CCIS.2012.6664396
Filename :
6664396
Link To Document :
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