digital image processing
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Digital Image Processing. Chapter 4: Image Enhancement in the Frequency Domain. Background. The French mathematiian Jean Baptiste Joseph Fourier Born in 1768 Published Fourier series in 1822 Fourier ’ s ideas were met with skepticism Fourier series - PowerPoint PPT PresentationTRANSCRIPT
Digital Image Processing
Chapter 4: Image Enhancement in the Frequency Domain
Background
The French mathematiian Jean Baptiste Joseph Fourier Born in 1768 Published Fourier series in 1822 Fourier’s ideas were met with
skepticism Fourier series
Any periodical function can be expressed as the sum of sines and/or cosines of different frequencies, each multiplied by a different coefficient
Fourier transform Functions can be expressed as the
integral of sines and/or cosines multiplied by a weighting function
Functions expressed in either a Fourier series or transform can be reconstructed completely via an inverse process with no loss of information
1),( yx2222222 2/)()(222 vuyx AeeA
Applications Heat diffusion Fast Fourier transform (FFT) developed
in the late 1950s
Introduction to the Fourier Transform and the Frequency Domain
The one-dimensional Fourier transform and its inverse Fourier transform
Inverse Fourier transform
dxexfuF uxj 2)()(
dueuFxf uxj 2)()(
Two variables
dxdyeyxfvuF vyuxj )( 2),(),(
dudvevuFyxf vyuxj )( 2),(),(
Fourier transform
Inverse Fourier transform
Discrete Fourier transform (DFT) Original variable
Transformed variable
1,...,2,1,0),( Mxxf
1,...,2,1,0),( MuuF
1,...,2,1,0
,)(1
)(1
0
/ 2
Mu
exfM
uFM
x
Muxj
1,...,2,1,0
,)()(1
0
/ 2
Mx
euFxfM
u
Muxj
DFT The discrete Fourier transform and its
inverse always exist f(x) is finite in the book
Sines and cosines
sincos je j
1
0
]/ 2sin/ 2)[cos(1
)(M
x
MuxjMuxxfM
uF
Time domain
Time components
Frequency domain
Frequency components
x
)(xf
u
)(uF
Fourier transform and a glass prism Prism
Separates light into various color components, each depending on its wavelength (or frequency) content
Fourier transform Separates a function into various
components, also based on frequency content
Mathematical prism
Polar coordinates
Real part
Imaginary part
)()()( ujeuFuF
)(uR
)(uI
Magnitude or spectrum
Phase angle or phase spectrum
Power spectrum or spectral density
2
122 )()()( uIuRuF
)(
)(tan)( 1
uR
uIu
)()()()( 222uIuRuFuP
Samples
)()( 0 xxxfxf
)()( uuFuF
xMu
1
Some references http://local.wasp.uwa.edu.au/~pbourke/
other/dft/ http://homepages.inf.ed.ac.uk/rbf/HIPR2
/fourier.htm
Examples test_fft.c fft.h fft.c Fig4.03(a).bmp test_fig2.bmp