Tutorial 1: Convolution in Python
Convolution: implementation, examples, applications
Tutorials
Tutorial 2: Fourier transform
Fourier transform: 1D, 2D; Frequency-domain filtering
Tutorial 3: Computed Tomography
Radon Transform, Filtered Back Projection, Hough Transform
Tutorial 4: Sampling and Interpolation
Polyphase resamplers, MRI aliasing, De-mosaicing
Tutorial 5: Inverse filtering
Image degradation models, Inverse filtering
Tutorial 6: ML vs MAP
Wiener filter, ML vs MAP estimators, Poisson denoising
Tutorial 7: Bilateral filter, Non-local means
Bilateral filter, Non-local means
Tutorial 8: PatchMatch
PatchMatch, Applications: stereo depth estimation, inpainting
Tutorial 9: L1-L2 optimization, BM3D
ISTA, FISTA, BM3D
Tutorial 10: Dictionary Learning, Deep Image Prior
K-SVD, Parametric priors, Deep Image Prior
Tutorial 11: Deep learning for inverse problems and beyond
NNs, CNNs, Applications: Denoising, CT & MRI reconstruction, DeepISP, Perceptual losses, Applications: super-resolution & style-transfer