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Proceedings Paper

Motion blur removal based on restoration error analysis
Author(s): Jin Zhang; Huirong Chen; Gang Rong
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Paper Abstract

A new technique for motion blur removal is proposed in this paper. Motion blur occurs when there is relative motion between the camera and the object of interest. To remove the blur, it is first necessary to identify the point spread function (PSF). We study the characteristics of restoration errors due to some elaborately selected PSFs. The direction and extent of the PSF can be determined after some intentional restorations. Wiener filter is then incorporated to restore the blurred image. The algorithm is effective and robust to noise. We apply it to the restoration of motion blurred license plates images. The results are fairly satisfactory.

Paper Details

Date Published: 1 March 2005
PDF: 9 pages
Proc. SPIE 5672, Image Processing: Algorithms and Systems IV, (1 March 2005); doi: 10.1117/12.584988
Show Author Affiliations
Jin Zhang, Tsinghua Univ. (China)
Huirong Chen, Tsinghua Univ. (China)
Gang Rong, Tsinghua Univ. (China)

Published in SPIE Proceedings Vol. 5672:
Image Processing: Algorithms and Systems IV
Edward R. Dougherty; Jaakko T. Astola; Karen O. Egiazarian, Editor(s)

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