Can anyone really help to explain the Weiss procedure of deconvolution process with FFT ?

Question

Can anyone help to explain the Weiss procedure of deconvolution process with FFT ?
In my understanding, the deconvolution process with FFT is to use divide operator instead of the deconvolution operator, that is
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In order to convolve two functions 'a' and 'b', we can take their Fourier
Transform(FT) and multiply them in Fourier domain i.e.
C= FT(a) * FT(b)
c = IFT(C)
and then Inverse Ft(IFT) of 'C' gives us the convolution of 'a' and 'b'.
Now if we want to deconvolve 'a' from 'c' to get 'b' we can do
B = FT(c)/FT(a)
b = IFT(B)
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however, when i read the paper by Wiess, he used a normalization function g,
and a delta function delta, to implement the deconvolution,
(in equation (6) and (7))
what do the equations mean??? why Weiss design the equation?

thank you!


in this paper
Deriving intrinsic images from image sequences
Weiss Y.
proc. ICCV 2001

download paper:
http://www.ai.mit.edu/courses/6.899/papers/13_02.PDF

Answer 1

Dude, you are wasting your time. Go to a newsgroup for this kind of thing.

Answer 2

Weis Procedure

Answer 3

great question!