Verifying convolution theorem in image processing (2-D)
Step's that we have followed;
1. Computed the f (x; y) * h(x; y) in the spatial domain. (Spatial_domain.m)
2. Compute F(u; v) . H(u; v) in frequency domain. (Frequency_domain.m)
3. Verify your codes by performing filtering in both spatial and frequency
domains and check the results.
Are you getting the same results?
Citar como
ABHILASH SINGH (2024). Verifying convolution theorem in image processing (2-D) (https://www.mathworks.com/matlabcentral/fileexchange/88587-verifying-convolution-theorem-in-image-processing-2-d), MATLAB Central File Exchange. Recuperado .
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Agradecimientos
Inspirado por: Principal Component Analysis (PCA) on images in MATLAB (GUI)
Inspiración para: Frequency domain lowpass filtering on images (2-D domain)
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Convolution theorem
Versión | Publicado | Notas de la versión | |
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1.0.0 |