Motion blur removal with orthogonal parabolic exposures
Name
Freeman_Motion blur.pdf
Size
1.84 MB
Format
Adobe PDF
Checksum (MD5)
4c07818b39a080b0ece2d963e2854f99
Author(s)
Cho, Taeg Sang
Levin, Anat
Durand, Fredo
Freeman, William T.
Date Issued
March 2010
Journal
IEEE International Conference on Computational Photography (ICCP) (2010 )
Publisher
Institute of Electrical and Electronics Engineers
Citation
Taeg Sang Cho et al. “Motion Blur Removal with Orthogonal Parabolic Exposures.” Computational Photography (ICCP), 2010 IEEE International Conference On. 2010. 1-8. Copyright © 2010, IEEE
Version
Author's final manuscript
Abstract
Object movement during exposure generates blur. Removing blur is challenging because one has to estimate the motion blur, which can spatially vary over the image. Even if the motion is successfully identified, blur removal can be unstable because the blur kernel attenuates high frequency image contents. We address the problem of removing blur from objects moving at constant velocities in arbitrary 2D directions. Our solution captures two images of the scene with a parabolic motion in two orthogonal directions. We show that our strategy near-optimally preserves image content, and allows for stable blur inversion. Taking two images of a scene helps us estimate spatially varying object motions. We present a prototype camera and demonstrate successful motion deblurring on real motions.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike 3.0
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/ICCPHOT.2010.5585100
