This page was translated automatically using artificial intelligence (DeepL). The German version is binding. More information about automatic translation

Digital image processing

Introductory session

Lecture 

Discretisation, colour spaces

Neighbourhoods (video)
Digital curves (video)
Gradient (video)
Dynamic programming (video)
Preliminary exercise solutions 

Digital curves

Discretisation (video)
CCD sensors (video)
Colour spaces (video)
Preliminary exercises 

Comparison of curves

Time-warping (video) Character
recognition (video)
Exercise solutions 

Seam carving

Seam-Carving (video) Determining the direction
of light (pdf)
Exercise solutions 

Neural networks

Preparation (video)
Basics (video)
Feedforward (video)
Backpropagation (video)
Outlook (video)
Example (video)
Sample exercise solutions 

Hough transformation

Hough (Straight lines/Functions) (Video)
Hough (Arbitrary shapes/R-table) (Video)
Sample exercises and solutions  

Curvature Scale Space

CSS (Video)
Preliminary Exercises (css.tgz)  

Segmentation I

Motivation (video)
Alpha matting (video)
Live-Wire (video)
Exercises I and II: Solutions 

Segmentation II

Shadow segmentation (video)
Watershed (video)
Graph Cut (video)
K-means (video)
Lecture I & II. Exercise solutions. 

Base transformation

Motivation (video)
Fourier (video)
DCT (video)
Eigenfaces (video)
Preliminary exercise solutions 

Filter

Motivation (video)
Convolution (video)
Box filter (video)
Gaussian filter (video)
Butterworth (video)
Morphology (pdf)
Lecture notes. Exercise solutions. 

Short-time Fourier/Wavelets

Derivative filter (video)
Compass filter (video) Corner
detection (video)
Short-time FT/wavelets (video)
Haar wavelet (video)
Exercise solutions 

Histograms

Entropy of Histograms (Video)
Gamma Correction (Video) Histogram
Normalisation (Video)
Preliminary Exercise Solutions 

Histograms

Motivation (video)
Haralick (video)
Preliminary 

Histograms

Preliminary.