Avoiding Ringing in Deblurred Images
The discrete Fourier transform (DFT), used by the deblurring
functions, assumes that the frequency pattern of an image is periodic.
This assumption creates a high-frequency drop-off at the edges of
images. In the figure, the shaded area represents the actual extent
of the image; the unshaded area represents the assumed periodicity.
This high-frequency drop-off can create an effect called boundary
related ringing in deblurred images. In this figure, note
the horizontal and vertical patterns in the image.
To avoid ringing, use the edgetaper function
to preprocess your images before passing them to the deblurring functions.
The edgetaper function removes the high-frequency
drop-off at the edge of an image by blurring the entire image and
then replacing the center pixels of the blurred image with the original
image. In this way, the edges of the image taper off to a lower frequency.
 | Creating Your Own Deblurring Functions | | Color |  |
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