Basis beeldverwerking (8D040) dr. Andrea Fuster Prof.dr. Bart ter Haar Romeny dr. Anna Vilanova Prof.dr.ir. Marcel Breeuwer The Fourier Transform II
Contents Fourier Transform of sine and cosine 2D Fourier Transform Properties of the Discrete Fourier Transform 2
Euler’s formula 3
Cosine 4 Recall
Sine 5
Contents Fourier Transform of sine and cosine 2D Fourier Transform Properties of the Discrete Fourier Transform 6
Discrete Fourier Transform Forward Inverse 7
Formulation in 2D spatial coordinates Discrete Fourier Transform (2D) Inverse Discrete Transform (2D) 8 f(x,y) digital image of size M x N
Spatial and Frequency intervals Inverse proportionality Suppose function is sampled M times in x, with step, distance is covered, which is related to the lowest frequency that can be measured And similarly for y and frequency v 9
Examples 10
Examples 11
Periodicity 2D Fourier Transform is periodic in both directions 12
Periodicity 2D Inverse Fourier Transform is periodic in both directions 13
Contents Fourier Transform of sine and cosine 2D Fourier Transform Properties of the Discrete Fourier Transform 14
Properties of the 2D DFT 15
16 Real Imaginary Sin (x) Sin (x + π/2) Real
Note: translation has no effect on the magnitude of F(u,v) 17
Symmetry: even and odd Any real or complex function w(x,y) can be expressed as the sum of an even and an odd part (either real or complex) 18
Properties Even function (symmetric) Odd function (antisymmetric) 19
Properties
FT of even and odd functions FT of even function is real FT of odd function is imaginary 21
22 Real Imaginary Cos (x) Even
23 Real Imaginary Sin (x) Odd
24 Real Imaginary F(Cos(x))F(Cos(x+k)) Even
25 Real Odd Sin (x)Sin(y)Sin (x) Imaginary
Consequences for the Fourier Transform FT of real function is conjugate symmetric FT of imaginary function is conjugate antisymmetric 26
Scaling property Scaling t with a 27
a 28 Imaginary parts
Differentiation and Fourier Let be a signal with Fourier transform Differentiating both sides of inverse Fourier transform equation gives: 29
Examples – horizontal derivative 30
Examples – vertical derivative 31
Examples – hor and vert derivative 32
Thanks and see you next Wednesday!☺ 33