Stud.IP Uni Oldenburg
University of Oldenburg
08.06.2023 19:47:57
inf210 - Signal and Image Processing (Complete module description)
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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)
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

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

-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
Language of instruction German
Duration (semesters) 1 Semester
Module frequency jährlich
Module capacity unlimited
Modullevel / module level AS (Akzentsetzung / Accentuation)
Modulart / typ of module je nach Studiengang Pflicht oder Wahlpflicht
Lehr-/Lernform / Teaching/Learning method V+Ü
Vorkenntnisse / Previous knowledge Modul math040 Analysis II b: Differentialrechnung mehrerer Variablen
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