DocumentCode :
2642501
Title :
Motion deblurring from a single image using multi-layer statistics priors
Author :
Chunhe, SONG ; Hai, Zhao ; Wei, JING
fYear :
2011
fDate :
9-12 Jan. 2011
Firstpage :
481
Lastpage :
482
Abstract :
In order to remove camera shake from a single photograph, we present a new deconvolution approach based on multi-layer statistics priors. Our approach is based on the three observations: the estimation of image gradients distribution can affect the deblurring quality; homogeneity region of the blurred image can serve to reduce ringing artifacts; regions with different homogeneities are with different statistics even for a single scene. Based on these observations we propose a multilayer deblurring model and the experimental results show that our model can reduce ringing while improve deblurring quality.
Keywords :
cameras; image motion analysis; image restoration; statistical analysis; camera shake; deblurring quality; deconvolution approach; image gradients distribution; motion deblurring; multilayer deblurring model; multilayer statistics prior; ringing artifacts; single photograph; Approximation methods; Deconvolution; Kernel; Laplace equations; Mathematical model; Nonhomogeneous media; Pixel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics (ICCE), 2011 IEEE International Conference on
Conference_Location :
Las Vegas, NV
ISSN :
2158-3994
Print_ISBN :
978-1-4244-8711-0
Type :
conf
DOI :
10.1109/ICCE.2011.5722695
Filename :
5722695
Link To Document :
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