Verifying convolution theorem in image processing (2-D)
Updated 10 Mar 2021
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?
ABHILASH SINGH (2023). 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 CompatibilityWindows macOS Linux
Inspired by: Principal Component Analysis (PCA) on images in MATLAB (GUI)
Inspired: Frequency domain lowpass filtering on images (2-D domain)
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