| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10361786 | Pattern Recognition Letters | 2005 | 7 Pages |
Abstract
Motion blur is a smearing of the image due to a long aperture time. We show that when two motion-blurred images are available, having different blur directions, image restoration can be improved substantially. In particular, the direction of the motion blur and the PSF (Point Spread Function) of the blur can be computed robustly.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Alex Rav-Acha, Shmuel Peleg,