The reason for doing the filtering in the frequency domain is generally because it is computationally faster to perform two 2D Fourier transforms and a filter multiply than to perform a convolution in the image (spatial) domain. This is particularly so as the filter size increases. In what follows it is assumed that the reader is familiar with the Discrete Fourier Transform, its properties, and the transforms of commonly used functions (delta, noise, rectangular pulse, step, etc).

Filename	Size	Update
128-u.bmp	49206	2009-11-08
FF1.bmp	49206	2011-02-10
image 1.bmp	388174	2011-02-16
Mostafa-128low.bmp	49206	2009-02-18
T2.bmp	49206	2011-02-11
T.jpg	47613	2011-02-11
Untitled.jpg	3956	2011-01-22
code.txt	9219	2011-02-12
FORM.frx	342933	2011-02-16
FORM.frm	15001	2011-02-16
_PROJECT.vbp	639	2013-03-24
_PROJECT.vbw	50	2013-03-24

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