Motion blur removal based on restoration error analysis

Jin Zhang; Huirong Chen; Gang Rong

doi:10.1117/12.584988

1 March 2005 Motion blur removal based on restoration error analysis

Jin Zhang, Huirong Chen, Gang Rong

Proceedings Volume 5672, Image Processing: Algorithms and Systems IV; (2005) https://doi.org/10.1117/12.584988
Event: Electronic Imaging 2005, 2005, San Jose, California, United States

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.

Citation Download Citation

Jin Zhang, Huirong Chen, and Gang Rong "Motion blur removal based on restoration error analysis", Proc. SPIE 5672, Image Processing: Algorithms and Systems IV, (1 March 2005); https://doi.org/10.1117/12.584988

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