Optimal Single Image Capture for Motion
Deblurring
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Amit
Agrawal and Ramesh Raskar CVPR 2009 |
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. Recent techniques have
attempted to engineer the motion point spread function (PSF) by either
making it invertible using coded exposure, or invariant to motion by
moving the camera in a specific fashion. We address the problem
of optimal single image capture strategy for best deblurring
performance. We formulate the problem of optimal capture as maximizing
the signal to noise ratio (SNR) of the deconvolved image given a scene
light level. As the exposure time increases, the sensor integrates more
light, thereby increasing the SNR of the captured signal. However, for
moving objects, larger exposure time also results in more blur and
hence more deconvolution noise. We compare the following three single
image capture strategies: (a) traditional camera, (b) coded exposure
camera, and (c) motion invariant photography, as well as the best
exposure time for capture by analyzing the rate of increase of
deconvolution noise with exposure time. We analyze which strategy is
optimal for known/unknown motion direction and speed and investigate
how the performance degrades for other cases. We present real
experimental results by simulating the above capture strategies using a
high speed video camera.
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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
Figure 1. (Left) We
consider object motion in terms of magnitude and
direction. If both magnitude and direction are known, trivial capture
strategy is to move the camera in that direction with that magnitude.
Both coded exposure and MIP will also work well. If direction is
unknown and magnitude is known, coded exposure should be used (left
col). As magtnitude changes, the performace of coded exposure degrades
gradually. If direction is known and magnitude is unknonw, MIP should
be used However, as the direction changes, MIP performace
degrades sharply.
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