More details about the Fourier coefficients 
In order to illustrate the meaning of the Fourier coefficients one can
seek to which image corresponds a given limited number of Fourier
moduli and phases. For example, what will be the image built by the
inverse Fourier transform of an array of 16*16 all zero complex numbers
excepted F(1,0)=i & F(1,0)=i ?
Fourier trasnform of which one seeks the corresponding image (inverse Fourier transform)
Firstly, around (h,k)=(0,0) one have F(h,k)=F*(h,k): the resulting image will then be a real value image.
The Fourier coefficients F(1,0) et F(1,0) are the first around the origin, in the horizontal direction: they will then create an horizontal sine wave of period equals to 16 pixels (it is the largest possible period on a 16 pixels wide image). This function varies between ±A (a constant), with a zero average since F(0,0) is null: Images
and horizontal profiles obtained by inverse Fourier transform
containing only the following Fourier coefficients: (a) F(1,0)=i
& F(1,0)=i; (b) F(2,0)=i & F(2,0)=i; (c)
F(8,0)=1 : this case corresponds to the Nyquist frequency
(highest possible frequency that can be displayed without aliasing
(Moiré) effects), the sampling frequency of the
image (periode 1
pixel) being the double of the created sine function (periode 2
pixels).
If only the Fourier coefficients F(2,0) et F(2,0)
are not zero (and complex conjugate to each other), the image
obtained by inverse Fourier transform will be a sine wave of double
frequency compared to the first example (images (a) & (b)).
The highest horizontal frequency that could be contained in the created image corresponds to the
Nyquist frequency, and is equal to 8 times the lowest frequency (images (a) & (c)).
A digital photograph such as the Chinese Musician results from the interference of the sine waves created from each Fourier coefficient couples, in each direction of the plan.
