DocumentCode :
1899625
Title :
Research on Local Motion-Blurred Image Restoration Algorithm Based on Physical Methods
Author :
Hua Jin ; Chen Yan ; Huang Shunyu
Author_Institution :
Coll. of Mech. & Electron. Eng., Nanjing Forestry Univ., Nanjing, China
fYear :
2010
fDate :
25-26 Dec. 2010
Firstpage :
1
Lastpage :
4
Abstract :
A new restoration algorithm aimed at local motion-blur in a complex background is proposed in this paper. First, the local blur part of the image is extracted from the complex background and it is pasted on a bottom of monochromatic background. Then image restoration is done on the blur part in the monochromatic background which is easy to be restored. Finally, the restored local image is pasted back to the original complex background. The algorithm simplifies the restoration problem of local blur image with complex background. And all operations can be completed by physical methods. The algorithm is simple, fast and effectual. It is an effective method of image restoration.
Keywords :
feature extraction; image restoration; complex background; image local blur part extraction; local motion blurred image restoration algorithm; monochromatic background; Cameras; Image edge detection; Image restoration; Interference; Mathematical model; Noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
Conference_Location :
Wuhan
ISSN :
2156-7379
Print_ISBN :
978-1-4244-7939-9
Electronic_ISBN :
2156-7379
Type :
conf
DOI :
10.1109/ICIECS.2010.5678277
Filename :
5678277
Link To Document :
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