Journal
ACM TRANSACTIONS ON GRAPHICS
Volume 25, Issue 3, Pages 795-804Publisher
ASSOC COMPUTING MACHINERY
DOI: 10.1145/1141911.1141957
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In a conventional single-exposure photograph, moving objects or moving cameras cause motion blur. The exposure time defines a temporal box filter that smears the moving object across the image by convolution. This box filter destroys important high-frequency spatial details so that deblurring via deconvolution becomes an ill-posed problem. Rather than leaving the shutter open for the entire exposure duration, we flutter the camera's shutter open and closed during the chosen exposure time with a binary pseudo-random sequence. The flutter changes the box filter to a broad-band filter that preserves high-frequency spatial details in the blurred image and the corresponding deconvolution becomes a well-posed problem. We demonstrate that manually-specified point spread functions are sufficient for several challenging cases of motion-blur removal including extremely large motions, textured backgrounds and partial occluders.
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