103-0274-AAL Image Processing
| Semester | Frühjahrssemester 2021 |
| Dozierende | K. Schindler, J. D. Wegner |
| Periodizität | jedes Semester wiederkehrende Veranstaltung |
| Lehrsprache | Englisch |
| Kommentar | Belegung ist NUR erlaubt für MSc Studierende, die diese Lerneinheit als Auflagenfach verfügt haben. Alle anderen Studierenden (u.a. auch Mobilitätsstudierende, Doktorierende) können diese Lerneinheit NICHT belegen. |
| Kurzbeschreibung | The objective of this lecture is to introduce the basic concepts of image formation and explain the basic methods of signal and image processing. |
| Lernziel | 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. |
| Inhalt | 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 |
| Skript | A script will be provided as PDF files on the lecture website. |
| Literatur | 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 |
| Voraussetzungen / Besonderes | The lecture is accompanied by programming assignments, that need to be completed in order to pass the course. |