transforms
The Fourier transform in several dimensions, and separability
taught
Taught in
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The 2D Fourier transform, defined
Fourier Analysis
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Separability — computing a 2D transform as 1D transforms
Fourier Analysis
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Radial symmetry and rotation
Fourier Analysis
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The 2D DFT
Fourier Analysis
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Spatial frequency, low vs. high, in an image
Fourier Analysis
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Applied problem set: frequency masking on a small synthetic test image
Fourier Analysis
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A brief look at diffraction as a 2D Fourier transform of an aperture
Fourier Analysis
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What Digital Image Processing adds to this
Fourier Analysis
Requires
- fourier-transform-properties required
- dft-definition-and-matrix-form required
Required by
Local knowledge map
Local knowledge map
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Solid arrows are required prerequisites; dashed are recommended or helpful. Lower rows are more foundational. Click any box to jump to that concept.