deconvwnr function 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 the
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
deconvwnr function. 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.