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?
Cita come
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. Recuperato .
Compatibilità della release di MATLAB
Compatibilità della piattaforma
Windows macOS LinuxTag
Riconoscimenti
Ispirato da: Principal Component Analysis (PCA) on images in MATLAB (GUI)
Ispirato: Frequency domain lowpass filtering on images (2-D domain)
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Scopri Live Editor
Crea script con codice, output e testo formattato in un unico documento eseguibile.
Convolution theorem
Versione | Pubblicato | Note della release | |
---|---|---|---|
1.0.0 |