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?
Cite As
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. Retrieved .
MATLAB Release Compatibility
Platform Compatibility
Windows macOS LinuxTags
Acknowledgements
Inspired by: Principal Component Analysis (PCA) on images in MATLAB (GUI)
Inspired: 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!Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.
Convolution theorem
Version | Published | Release Notes | |
---|---|---|---|
1.0.0 |