The two following labs deal with filtration of images, which can be used for smoothing, deblurring, denoising and other applications.
The theory behind the labs can be found in the lectures:
Start by downloading the template of the assignment.
Use test_script.m
to check your solution.
1a: implement brute-force convolution using loops (convolution_2D.m
) - 2 points
1b: implement the generator for specified kernels (get_kernel.m
): - 0.2 point / kernel - 1 point total
Compare your results to the reference:
2: implement convolution using Fourier Transform (convolution_ft.m
) - 1 point
Compare your results to the reference:
3: implement the generator of selected separable kernels (get_kernel.m
) - 0.5 point / kernel - 1.5 points total
Compare your results to the reference:
4: implement Wiener filter (wiener_filt.m
) - 2 points
Compare your results to the reference:
5: implement basic Bilateral filter (bilateral_filt.m
) - 2.5 points
Compare your results to the reference:
bilateral_filt.m
convolution_2D.m
convolution_2D_ft.m
get_kernel.m
wiener_filt.m
Keep the files in the root of the zip archive (zip directly the files, NOT a folder containing the files). The evaluation system searches for the files just in the root of zip archive.
The points will be assigned manually by TA after the deadline.