inf210 - Signal and Image Processing (Complete module description)

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)
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
Teaching/Learning method V+Ü
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