inf210 - Signal and Image Processing (Complete module description)
| Module label |
Signal and Image Processing |
| Modulkürzel |
inf210 |
| Credit points |
6.0 KP |
| Workload |
180 h
|
| Institute directory |
Department of Computing Science |
| Verwendbarkeit des Moduls |
-
Bachelor's Programme Computing Science (Bachelor) > Akzentsetzungsbereich - Wahlbereich Informatik
-
Dual-Subject Bachelor's Programme Computing Science (Bachelor) > Wahlpflicht Technische Informatik (30 KP)
-
Master of Education Programme (Gymnasium) Computing Science (Master of Education) > Wahlpflichtmodule (Technische Informatik)
-
Master's Programme Computing Science (Master) > Interdisziplinäre Module
|
| Zuständige Personen |
-
Hein, Andreas (Module responsibility)
-
Fränzle, Martin Georg (Module responsibility)
-
Lehrenden, Die im Modul (Prüfungsberechtigt)
|
| Prerequisites |
Module math040 Analysis II b: Differential calculus of several variables |
| Skills to be acquired in this module |
Professional competence
The students:
- name the concepts of signal and image processing in technical systems
- name the methods/algorithms of preprocessing, filtering, classification, interpretation and visualisation of signals and pictures
- Select algorithms appropriately
- evaluate the effectiveness of algorithms
- design algorithms and processing chains and evaluate their quality
Methodological competence
The students:
- get used to specific subjects of signal and image processing
Social competence
The students:
- present solutions for specific questions in signal and image processing
Self-competence
The students:
- reflect their solutions by using methods learned in this course
|
| Module contents |
Basic Concepts:
- Signal Processing
- Signal Spaces and Signal Processing Systems
- Discrete and Constant Signals
- Labelling of Signal Transmitters with Test Signals
- Representations Areas and Transformations
- Time-Discrete Systems and Scanning
- Estimation and Filtering
- Construction with MATLAB
- Image Processing
Introduction / Range of Applications:
- Functional Transformation
- Image Enhancement/Filtering
- Segmentation
- 3D Reconstruction an Visualization
|
| Literaturempfehlungen |
Essential:
- Foliensammlung zur Vorlesung
Recommended:
- Meyer, M.; Signalverarbeitung: Analoge und digitale Signale, Systeme und Filter
- Grüningen, D. C. v.; Digitale Signalverarbeitung: mit einer Einführung in die kontinuierlichen Signale und Systeme
- Tönnies, K.; Grundlagen der Bildverarbeitung; Pearson Studium 2005
- Lehmann, Th.; Oberschelp, W.; Pelinak, E.; Pepges, R.; Bildverarbeitung in der Medizin; Springer Verlag 1997
- Handels. H.; Medizinische Bildverarbeitung; Teubner Verlag, Stuttgart
- Leipzig 2000 weiterführende Literatur wird in der Vorlesung bekannt gegeben
|
| Links |
|
| Language of instruction |
German |
| Duration (semesters) |
1 Semester |
| Module frequency |
annual |
| Module capacity |
unlimited |
| Modullevel / module level |
|
| Modulart / typ of module |
|
| Lehr-/Lernform / Teaching/Learning method |
1VL + 1Ü |
| Vorkenntnisse / Previous knowledge |
Module math040 Analysis II b: Differential calculus of several variables |
| Form of instruction |
Comment |
SWS |
Frequency |
Workload of compulsory attendance |
|
Lecture |
|
2 |
WiSe |
28 |
|
Exercises |
|
2 |
WiSe |
28 |
| Präsenzzeit Modul insgesamt |
56 h |
| Examination |
Prüfungszeiten |
Type of examination |
| Final exam of module |
At the end of the semester |
Hands-on exercises and written or oral exam |
