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Summary: Optimal Single Image Capture for Motion Deblurring
Amit Agrawal
Mitsubishi Electric Research Labs (MERL)
201 Broadway, Cambridge, MA, USA
agrawal@merl.com
Ramesh Raskar
MIT Media Lab
20 Ames St., Cambridge, MA, USA
http://raskar.info
Abstract
Deblurring images of moving objects captured from a
traditional camera is an ill-posed problem due to the loss
of high spatial frequencies in the captured images. Re-
cent techniques have attempted to engineer the motion point
spread function (PSF) by either making it invertible [16] us-
ing coded exposure, or invariant to motion [13] by moving
the camera in a specific fashion.
We address the problem of optimal single image cap-
ture strategy for best deblurring performance. We formulate
the problem of optimal capture as maximizing the signal to
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