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103-0274-AAL 3 Credits MSC D-BAUG

Image Processing

Lecturers & Examiners: Prof. Dr. Konrad Schindler, Prof. Dr. Jan Dirk Wegner
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement. Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
VVZ CR n/a

Last Updated: 2026-02-05 15:54:47

Abstract

The objective of this lecture is to introduce the basic concepts of image formation and explain the basic methods of signal and 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

The following topics will be covered in the course: - Properties of digital images - Signal processing/Sampling - Image enhancement - Image restoration: Spatial domain - Image restoration: Fourier domain - Color/Demosaicing - Image compression - Feature extraction - Texture analysis - Image segmentation

Resources

Lecture Notes

A script will be provided as PDF files on the lecture website.

Literature

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