Coded Exposure Deblurring: Optimized Codes for
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Amit
Agrawal and Yi Xu CVPR 2009 |
Abstract
We consider the problem
of single image object motion deblurring from a
static camera. It is well-known that deblurring of moving objects using
a traditional camera is ill posed, due to the loss of high spatial
frequencies in the captured blurred image. A coded exposure camera
modulates the integration pattern of light by opening and closing the
shutter within the exposure time using a binary code. The code is
chosen to make the resulting point spread function (PSF) invertible,
for best deconvolution performance. However, for a successful
deconvolution algorithm, PSF estimation is as important as PSF
invertibility. We show that PSF estimation is easier if the resulting
motion blur is smooth and the optimal code for PSF invertibility could
worsen PSF estimation, since it leads to non-smooth blur.
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Paper (Preprint)
Related Papers in Motion/Focus Deblurring SIGGRAPH 2006 Coded exposure for motion deblurring CVPR 2007
Simultaneous motion
deblurring and super-resolution |
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