A Motion Blurred Image Restoration Method Based on Wiener Filtering

Qian Qian Quan

doi:10.4028/www.scientific.net/AMR.403-408.1664

Paper Titles

Study on College Mathematics Education and Teaching Strategies
p.1648

Optimization of Monitoring Network Point about Total N in Soil in Hangjiahu Plain
p.1652

Series Limit Calculation in Teaching Software of Advanced Mathematics
p.1656

The Rectification of the Building Texture Image Distortion in 3D Virtual City
p.1660

A Motion Blurred Image Restoration Method Based on Wiener Filtering
p.1664

The Active Power Filter Research Based on ANN Harmonic Detection and PR Control
p.1668

The Construction of Customer Satisfaction Index for Government Portals
p.1672

A Research on the Internal Control Information’s Disclosure of Signal Game Model of the Listed Companies
p.1676

Research on Erosion Mechanical Parameters of Wind-Sand Environmentin the Central and Western Region of Inner Mongolia
p.1680

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 403-408A Motion Blurred Image Restoration Method Based on...

A Motion Blurred Image Restoration Method Based on Wiener Filtering

Abstract:

To the deficiencies of traditional methods for avoiding motion image blurring, a motion blur image restoration method is studied based on Wiener filtering in this paper. The formation factors of motion-blurred images and the imaging process are analyzed, and the motion blur degradation model is established. It introduced the working principle of Wiener filtering, described the steps of blurred image restoration in details. The experiment testing and data analyzing are also conducted. Experimental results showed that the method can has good performance.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 403-408)

Pages:

1664-1667

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.403-408.1664

Citation:

Cite this paper

Online since:

November 2011

Authors:

Qian Qian Quan

Keywords:

Degradation, Image Restoration, Motion Blurred, Wiener Filtering

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Huei-Yung Lin. Vehicle Speed Detection and Identification from a Single Motion Blurred Image[C]. The Seventh IEEE Workshops on Application of Computer Vision, 2005, pp.461-467.

DOI: 10.1109/acvmot.2005.121

Google Scholar

[2] Likas, A.C. Galatsanos N.P. A Variational Approach for Bayesian Blind Image Deconvolution[J]. Signal Processing, 2004, 52(8): 2222-2233.

DOI: 10.1109/tsp.2004.831119

Google Scholar

[3] Arashloo, S.R., Ahmadyfard, A. Fine estimation of blur parameters for image restoration[C]. Proceeding of the 15th International Conference on Digital Signal Processing, 2007, pp.427-430.

DOI: 10.1109/icdsp.2007.4288610

Google Scholar

[4] Y. Yitzhaky, G. Boshusha,Y. Levy, N.S. Kopeika. Restoration of an image degraded by vibrations using only a single frame[J]. Optical Engineering. 2000, 39(8): 2083-(2091).

DOI: 10.1117/1.1305319

Google Scholar

[5] Rav-Acha A, Peleg S. Two motion-blurred images are better than one[J]. Pattern Recognition Letters, 2005, 26(3): 311-318.

DOI: 10.1016/j.patrec.2004.10.017

Google Scholar