Hey everybody,

i have to filter an 2D Image(256*256) but i fail in appliing the filter function to the image frequency using 2D fft.

Using 1D fft works for me but unfortunately it’s really slow.

:Here’s my current method:

I’m using the following filter-function(lowpass, emphasizes edges):

for i = 0:256

filter[i] = i * M_PI * sinf(i*M_PI/256.0f/2.0f) / (i*M_PI/256.0f/2.0f);

Now I take each row of my image…

- pad the row
- transfer it into frequncy domain
- then multiply each element of my frequency with its corresponding value of my filter

( e.g. cufftComplex[i].x *= filter[i]; cufftComplex[i].y *= filter[i]) - normalize each element
- transfer from frequency to image doamin
- replacing unfiltered row with filtered row

… as mentioned, this works really well … but i have absolutely no idea on how to do that with 2Dfft.

if someone has a suggestion or a hint i would be very thankfull.

best regards, rob