inf210 - Signal and Image Processing (Complete module description)

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03.06.2023 14:10:56

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
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: 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

Form of instruction	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