This course was mainly about digital image fundamentals including:
- image transforms (Fourier, Haar, wavelet),
- image enhancement (histogram processing, spatial filtering, high- and low-pass filtering), image restoration,
- image compression (elements of information theory, image compression models, error-free compression, lossy compression),
- image segmentation (line detection, Hough transform, edge detection and linking, thresholding, region splitting and merging),
- representation and description (chain codes, signatures, skeletons, shape descriptors, moments, texture).