Convolution theorems
Let F be the 2D Fourier transform of f, H of h
Define
Convolution theorem: Convolution in the spatial
(image) domain is equivalent to multiplication in
the frequency (Fourier) domain.
Symmetric theorem: Convolution in the
frequency domain is equivalent to multiplication in
the spatial domain.
Why is this useful?