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Digital Image Processing Chapter 4
Image Enhancement in the Frequency Domain Part II
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2D-DFT (Frequency) Domain Filtering
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Convolution Theorem f (x,y) h(x,y) g(x,y) G(u,v) = F(u,v) H(u,v)
input image impulse response (filter) output image DFT IDFT DFT IDFT DFT IDFT G(u,v) = F(u,v) H(u,v)
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Frequency Domain Filtering
Filter design: design H(u,v)
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2D-DFT Domain Filter Design
Ideal lowpass, bandpass and highpass
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2D-DFT Domain Filter Design
Ideal lowpass, bandpass and highpass
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2D-DFT Domain Filter Design
Ideal lowpass filtering with cutoff frequencies set at radii values of 5, 15, 30, 80, and 230, respectively
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2D-DFT Domain Filter Design
Gaussian lowpass
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2D-DFT Domain Filter Design
Effect of Gaussian lowpass filter
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2D-DFT Domain Filter Design
Effect of Gaussian lowpass filter
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2D-DFT Domain Filter Design
Effect of Gaussian lowpass filter
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2D-DFT Domain Filter Design
Gaussian lowpass filtering Gaussian highpass filtering
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2D-DFT Domain Filter Design
Choices of highpass filters Ideal Butterworth Gaussian
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2D-DFT Domain Filter Design
Ideal Butterworth Gaussian Obtained by applying inverse 2D-DFT to the corresponding frequency domain filters
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2D-DFT Domain Filter Design
Ideal Butterworth Gaussian
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2D-DFT Domain Filter Design
Gaussian filter with different width
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2D-DFT Domain Filter Design
Orientation selective filters
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2D-DFT Domain Filter Design
Narrowband Filtering by combining radial and orientation selection *
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