In a conventional single-exposure photograph, moving objects or moving cameras cause motion blur. The exposure time defines a temporal box[via Behdad]
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.
coded exposure photography
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blog moved
As described elsewhere, I've quit LiveJournal. If you're interested in my continuing posts, you should look at one of these (each contains feed…
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dremel
They published a paper on Dremel, my favorite previously-unpublished tool from the Google toolchest. Greg Linden discusses it: "[...] it is capable…
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treemaps
I finally wrote up my recent adventures in treemapping, complete with nifty clickable visualizations.
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