Full Text:   <1723>

CLC number: TP317.4

On-line Access: 2010-04-28

Received: 2009-04-11

Revision Accepted: 2009-09-29

Crosschecked: 2010-03-29

Cited: 2

Clicked: 3956

Citations:  Bibtex RefMan EndNote GB/T7714

-   Go to

Article info.
1. Reference List
Open peer comments

Journal of Zhejiang University SCIENCE C 2010 Vol.11 No.5 P.375-380


Real-time motion deblurring algorithm with robust noise suppression

Author(s):  Hua-jun Feng, Yong-pan Wang, Zhi-hai Xu, Qi Li, Hua Lei, Ju-feng Zhao

Affiliation(s):  State Key Lab of Modern Optical Instrumentation, Zhejiang University, Hangzhou 310027, China

Corresponding email(s):   fenghj@zju.edu.cn

Key Words:  Motion blurring, Motion kernel, Gaussian distribution

Hua-jun Feng, Yong-pan Wang, Zhi-hai Xu, Qi Li, Hua Lei, Ju-feng Zhao. Real-time motion deblurring algorithm with robust noise suppression[J]. Journal of Zhejiang University Science C, 2010, 11(5): 375-380.

@article{title="Real-time motion deblurring algorithm with robust noise suppression",
author="Hua-jun Feng, Yong-pan Wang, Zhi-hai Xu, Qi Li, Hua Lei, Ju-feng Zhao",
journal="Journal of Zhejiang University Science C",
publisher="Zhejiang University Press & Springer",

%0 Journal Article
%T Real-time motion deblurring algorithm with robust noise suppression
%A Hua-jun Feng
%A Yong-pan Wang
%A Zhi-hai Xu
%A Qi Li
%A Hua Lei
%A Ju-feng Zhao
%J Journal of Zhejiang University SCIENCE C
%V 11
%N 5
%P 375-380
%@ 1869-1951
%D 2010
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.C0910201

T1 - Real-time motion deblurring algorithm with robust noise suppression
A1 - Hua-jun Feng
A1 - Yong-pan Wang
A1 - Zhi-hai Xu
A1 - Qi Li
A1 - Hua Lei
A1 - Ju-feng Zhao
J0 - Journal of Zhejiang University Science C
VL - 11
IS - 5
SP - 375
EP - 380
%@ 1869-1951
Y1 - 2010
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.C0910201

In an image restoration process, to obtain good results is challenging because of the unavoidable existence of noise even if the blurring information is already known. To suppress the deterioration caused by noise during the image deblurring process, we propose a new deblurring method with a known kernel. First, the noise in the measurement process is assumed to meet the gaussian distribution to fit the natural noise distribution. Second, the first and second orders of derivatives are supposed to satisfy the independent gaussian distribution to control the non-uniform noise. Experimental results show that our method is obviously superior to the Wiener filter, regularized filter, and Richardson-Lucy (RL) algorithm. Moreover, owing to processing in the frequency domain, it runs faster than the other algorithms, in particular about six times faster than the RL algorithm.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


[1]Chen, X.C., Cao, F.M., Jin, W.Q., 2007. Recursive model of forward motion blurred image based on polar coordinates. Acta Photon. Sin., 36(3):552-556.

[2]Fergus, R., Singh, B., Hertzmann, A., Roweis, S.T., Freeman, W.T., 2006. Removing camera shake from a single photograph. ACM Trans. Graph., 25(3):787-794.

[3]Fu, Z.L., Feng, H.J., Xu, Z.H., Li, Q., Mao, C.J., 2009. Restoration of the image blurred by motion based on high-speed CCD motion detection. Opto-Electron. Eng., 36(3):69-73.

[4]Gonzalez, R.C., Woods, R.E., 1992. Digital Image Processing. Addison-Wesley, New York, NY.

[5]Gonzalez, R.C., Woods, R.E., Eddins, S.L., 2004. Digital Image Processing Using MATLAB. Pearson Prentice Hall, Upper Saddle River, NJ, USA.

[6]Jain, A.K., 1989. Fundamentals of Digital Image. Prentice-Hall, Inc., Upper Saddle River, NJ, USA.

[7]Levin, A., Fergus, R., Durand, F., Freeman, W.T., 2007. Image and depth from a conventional camera with a coded aperture. ACM Tran. Graph., 26(3), Article 70.

[8]Lucy, L., 1974. An iterative technique for technique for the rectification of observed distributions. Astron. J., 79(6):745-754.

[9]Portilla, J., Strela, V., Wainwright, M.J., Simoncelli, E.P., 2003. Image denoising using scale mixtures of Gaussians in the wavelet domain. IEEE Trans. Image Process., 12(11):1338-1351.

[10]Richardson, W.H., 1972. Bayesian-based iterative method of image restoration. J. Opt. Soc. Am., 62(1):55-58.

[11]Shi, L., Su, X.Q., Xiang, J.B., 2008. An electronic image stabilization method based on feature block matching. Photon J., 37(1):202-205.

[12]Zheng, X.F., Chen, Y.T., Xu, Z.H., 2008. A fast electronic image stabilization algorithm for tranlational and rotational motion compensation. Acta Photon. Sin., 37(9):1890-1894.

Open peer comments: Debate/Discuss/Question/Opinion


Please provide your name, email address and a comment

Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou 310027, China
Tel: +86-571-87952783; E-mail: cjzhang@zju.edu.cn
Copyright © 2000 - Journal of Zhejiang University-SCIENCE