2D FFT / DFT + NxN Convolution (image processing) [SOLVED] [modified]

[Dusan Paulovic]

I have not so far, but I'll give it a try... But still, I would prefer any working example programmed in some .Net language or in native C / C++. Thanks...

[Lost User]

Andrew Kirillov made the image procing lab which he wrote an artical on here. It is quite a good read and good library to use as well (he has other articles around it) Christian Grauss wrote a series of articales youmight find usefull. The kernal topics fall under edge detection. Image Processing for Dummies with C# and GDI+ Part 3 - Edge Detection Filters[^]

Computers have been intelligent for a long time now. It just so happens that the program writers are about as effective as a room full of monkeys trying to crank out a copy of Hamlet.

[Dusan Paulovic]

Well, Andrew Kirillov has in his library FFT filter, but in convolution filters he does not use them and I need exactly that. Also Christion has made good stuff for beginners, but my question is little more about advanced image processing than about beginner tutorial.

[Chris Losinger]

if your kernels are separable, you can do the operation as a pair of 1-D convolutions (once in X, once in Y). that will change your complexity from N^2 to N.

image processing toolkits | batch image processing

[Lost User]

DusanDusan wrote:

Also Christion has made good stuff for beginners, but my question is little more about advanced image processing than about beginner tutorial.

DusanDusan wrote:

Hi all, does anybody know some good source to learn apply a fast convolution filter to image? I am looking for kernels with 20x20 an bigger and need to process image fast, so I need to learn how to do that using FFT or DFT.

Convulution filters and FFT are for the most part equivilant (different domains). Christian's articales are labeled beginner, but from your question I think it is exactly what you need. Why is it not advanced enough?? What details are you missing?

Computers have been intelligent for a long time now. It just so happens that the program writers are about as effective as a room full of monkeys trying to crank out a copy of Hamlet.

[Dusan Paulovic]

Yes, for most part are, but exactly that part, where they are not is in my interest. What I need is to understand how to forward transform image and mask, multiply them together and transform result back to 'normal' image. I have made some algorithms, but on borders of tiles I have some errors, so I am interested in any code to look for inspiration...

modified on Monday, August 29, 2011 3:29 PM

[Dusan Paulovic]

Some kernels are not separable, some are separable. I would like to make it using FFT, but do not know how...

[Chris Losinger]

maybe this will help: http://developer.download.nvidia.com/compute/cuda/2_2/sdk/website/projects/convolutionFFT2D/doc/convolutionFFT2D.pdf[^]

image processing toolkits | batch image processing

[Dusan Paulovic]

This is exactly what I am looking for. I have it implemented, but there is probably any error in my coding, becouse on borders of result image I have processed pixels from opposite sides of tiles. Do you know about any code that is doing that correctly? Or is it normal? Must be used overlapping of input tiles? Thanks

[Chris Losinger]

sorry, i don't know of any code that does this. but, that document spends a lot of time talking about how to arrange your kernel to handle the wrap-around problem.

image processing toolkits | batch image processing