Title :
Rolling shutter motion deblurring
Author :
Shuochen Su;Wolfgang Heidrich
Author_Institution :
University of British Columbia, 2329 West Mall, Vancouver, V6T 1Z4, Canada
fDate :
6/1/2015 12:00:00 AM
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 undistorted 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.
Keywords :
"Cameras","Kernel","Trajectory","Image segmentation","Motion segmentation","Estimation","Polynomials"
Conference_Titel :
Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on
Electronic_ISBN :
1063-6919
DOI :
10.1109/CVPR.2015.7298760