DocumentCode :
2726200
Title :
Image restoration for single blurred image
Author :
Shaojie, Sun ; Qiong, Wu ; Guohui, Li
Author_Institution :
Coll. of Inf. Syst. & Manage., Nat. Univ. of Defense Technol., Changsha, China
Volume :
4
fYear :
2009
fDate :
20-22 Nov. 2009
Firstpage :
491
Lastpage :
494
Abstract :
A blind image restoration algorithm is proposed to deblur the camera-shake blurred image based on the variational Bayesian theory. Experimental results on the real blurred images, show that the algorithm can remove the camera-shake motion blur, and improve the algorithm´s efficiency, while preserve the image edges and details well.
Keywords :
belief networks; image restoration; blind image restoration; blurred image removal; camera-shake motion blur; variational Bayesian theory; Bayesian methods; Cameras; Convolution; Deconvolution; Degradation; Educational institutions; Image restoration; Kernel; Management information systems; Sun; blind image restoration; camera shake; motion blur; variational Bayesian;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-4754-1
Electronic_ISBN :
978-1-4244-4738-1
Type :
conf
DOI :
10.1109/ICICISYS.2009.5357629
Filename :
5357629
Link To Document :
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