Lehrinhalte
Fourier transform, image representation in frequency domain, wavelets, filtering, inverse & Wiener filter, image enhancement, edge detection, segmentation, interest operators, mathematical morphology (skeletonization, medial axis and distance transform), texture, graphical models.
Image formation: Pinhole camera model, digital cameras, geometric image transformations
Signal processing: Convolution, Fourier transform, convolution via the frequency domain
Image filtering: Low- and high-pass filtering, mathematical morphology
Image restoration: Inverse filter, Wiener filter, super-resolution
Feature extraction: Texture, extraction of salient points, segmentation
Advances image processing: Scale space, graphical models, image transformations
