Hi Chris 2009/5/11 Chris Colbert <sccolb...@gmail.com>: > When convolving an image with a large kernel, its know that its faster to > perform the operation as multiplication in the frequency domain. The below > code example shows that the results of my 2d filtering are shifted from the > expected value a distance 1/2 the width of the filter in both the x and y > directions. Can anyone explain why this occurs? I have been able to find the > answer in any of my image processing books.
Just as a reminder, when doing this kind of filtering always pad correctly. Scipy does this in scipy.signal.fftconvolve I've also got some filtering implemented in http://mentat.za.net/cgi-bin/hgwebdir.cgi/filter/file/e97c0a6dd0ea/lpi_filter.py Regards Stéfan _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
