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Image Processing
Last Updated: 2026-02-05 15:47:41
Abstract
Introduction to basic concepts and methods of digital image processing.
Objective
Understanding core methods and algorithms in image processing and computer vision and the underlying signal processing foundations. Applying image processing algorithms to relevant problems in photogrammetry and remote sensing.
Content
- Properties of digital images - Sampling, quantisation and signal processing - Colour spaces and transformations - Geometric image transformations - Image morphology - Discrete convolution - Image filtering - Texture descriptors - 2D Fourier transform and the Fourier domain - Pattern recognition: corner and edge extraction - Image segmentation
Resources
Literature
- Gonzales, Woods, 2008: Digital Image Processing, Pearson Prentice Hall - Jähne, 2012: Digitale Bildverarbeitung und Bildgewinnung, Springer - Sonka, Hlavac, Boyle 2007: Image Processing, Analysis, and Machine Vision, Springer - Burger, Burge, 2013: Digitale Bildverarbeitung: Eine algorithmische Einführung mit Java, Springer We suggest the following textbooks for further reading: Rafael C. Gonzalez, Richard E. Woods Digital Image Processing Prentice Hall International, 2008 ISBN: 013168728X Rafael C. Gonzalez, Steven L. Eddins, Richard E. Woods: Digital Image Processing Using MATLAB Prentice Hall, 2003 ISBN: 0130085197
General Information
- Language
- English
- Levels
- MSC
- Frequency
- Semesterly recurring
Examination
- Type
- graded semester performance
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| revision course / private study |
Image Processing
Self-study course. No presence required.
|
No time listed | 90 h semesterly |
Offered In
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Course Units for Additional Admission Requirements (The courses below are only available for MSc students with additional admission requirements.)
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