Rolling Shutter Motion Deblurring

Type
Conference Paper

Authors
Su, Shuochen
Heidrich, Wolfgang

KAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Online Publication Date
2015-10-15

Print Publication Date
2015-06

Date
2015-10-15

Abstract
Although motion blur and rolling shutter deformations are closely coupled artifacts in images taken with CMOS image sensors, the two phenomena have so far mostly been treated separately, with deblurring algorithms being unable to handle rolling shutter wobble, and rolling shutter algorithms being incapable of dealing with motion blur. We propose an approach that delivers sharp and undis torted output given a single rolling shutter motion blurred image. The key to achieving this is a global modeling of the camera motion trajectory, which enables each scanline of the image to be deblurred with the corresponding motion segment. We show the results of the proposed framework through experiments on synthetic and real data.

Citation
Su, S., & Heidrich, W. (2015). Rolling shutter motion deblurring. 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). doi:10.1109/cvpr.2015.7298760

Publisher
Institute of Electrical and Electronics Engineers (IEEE)

Journal
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition

Conference/Event Name
Computer Vision and Pattern Recognition (CVPR),2015

DOI
10.1109/CVPR.2015.7298760

Additional Links
http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_046.pdf

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