103-0274-AAL  Image Processing

SemesterHerbstsemester 2018
DozierendeJ. D. Wegner
Periodizitätjedes Semester wiederkehrende Veranstaltung
KommentarBelegung ist NUR erlaubt für MSc Studierende, die diese Lerneinheit als Auflagenfach verfügt haben.

Alle andere Studierenden (u.a. auch Mobilitätsstudierende, Doktorierende) können diese Lerneinheit NICHT belegen.

KurzbeschreibungThe objective of this lecture is to introduce the basic concepts of image formation and explain the basic methods of signal and image processing.
LernzielUnderstanding 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.
Inhalt- Image segmentation
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
SkriptA script will be provided as PDF files on the lecture website.
LiteraturWe 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
Voraussetzungen / BesonderesThe course is accompanied by programming assignments, that need to be completed in order to pass the semester performance.