Two motion-blurred images are better than one

Authors:
Alex Rav-Acha;Shmuel Peleg
Affiliations:
School of Computer Science and Engineering, The Hebrew University of Jerusalem, 91904 Jerusalem, Israel;School of Computer Science and Engineering, The Hebrew University of Jerusalem, 91904 Jerusalem, Israel
Venue:
Pattern Recognition Letters - Special issue: In memoriam Azriel Rosenfeld
Year:
2005

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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.