Dear All,

I am trying to denoising some simulated images by using a Gaussian filter. I

would check if my results are right by deconvolving the output images in the

frequency domain. Suppose that Image_out is the output of my filter, in the

frequency domain we should get: F(Image_out)=F(Image_inp)*F(Filter_Gaus),

where F() represent the Fourier transform. As a consequence the

deconvolution result should be the inverse Fourier transfer

of F(Image_out)*(F(Filter_Gaus))^{-1}, i.e. the multiplication of the

Fourier transform of the Image_out by the 1/(F(Filter_Gaus)). Now the

problem: Since the window size of Gaussian filter is smaller than image size

(i.e. image is 100x100 pixels, whereas the Gaussian filter window size is

10x10 pixels), how can implement my deconvolution? Any suggestion?

Many thanks in advance for your time.

Regards

Giovanni