to deblur an image using the Wiener filter. Wiener deconvolution can
be used effectively when the frequency characteristics of the image
and additive noise are known, to at least some degree. In the absence
of noise, the Wiener filter reduces to the ideal inverse filter. See
deconvwnr reference page
for an example of deblurring an image with the Wiener filter.
You can affect the deconvolution results by providing values
for the optional arguments supported by the
Using these arguments you can specify the noise-to-signal power value
and/or provide autocorrelation functions to help refine the result
of deblurring. To see the impact of these optional arguments, view
the Image Processing Toolbox™ deblurring examples.