Stud.IP Uni Oldenburg
University of Oldenburg
23.09.2021 10:07:43
inf210 - Signal and Image Processing (Complete module description)
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Module label Signal and Image Processing
Module code inf210
Credit points 6.0 KP
Workload 180 h
Institute directory Department of Computing Science
Applicability of the module
  • 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) > Mastermodule
  • Master's Programme Computing Science (Master) > Nicht Informatik
Responsible persons
Fränzle, Martin Georg (Authorized examiners)
Hein, Andreas (Authorized examiners)
Lehrenden, Die im Modul (Authorized examiners)
Prerequisites
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
Reader's advisory
essential:
Slides

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
Links
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
Course type Comment SWS Frequency Workload of compulsory attendance
Lecture
2 WiSe 28
Exercises
2 WiSe 28
Total time of attendance for the module 56 h
Examination Time of examination Type of examination
Final exam of module
At the end of the semester
Hands-on exercises and written or oral exam