inf210 - Signal and Image Processing (Complete module description)

# 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 competenceThe students:name the concepts of signal and image processing in technical systemsname the methods/algorithms of preprocessing, filtering, classification, interpretation and visualisation of signals and picturesSelect algorithms appropriatelyevaluate the effectiveness of algorithmsdesign algorithms and processing chains and evaluate their qualityMethodological competenceThe students:get used to specific subjects of signal and image processingSocial competenceThe students:present solutions for specific questions in signal and image processingSelf-competenceThe students:reflect their solutions by using methods learned in this course Module contents Basic Concepts:Signal ProcessingSignal Spaces and Signal Processing SystemsDiscrete and Constant SignalsLabelling of Signal Transmitters with Test SignalsRepresentations Areas and TransformationsTime-Discrete Systems and ScanningEstimation and FilteringConstruction with MATLABImage ProcessingIntroduction / Range of Applications:Functional TransformationImage Enhancement/FilteringSegmentation3D Reconstruction an Visualization Literaturempfehlungen Essential:Foliensammlung zur VorlesungRecommended:Meyer, M.; Signalverarbeitung: Analoge und digitale Signale, Systeme und FilterGrüningen, D. C. v.; Digitale Signalverarbeitung: mit einer Einführung in die kontinuierlichen Signale und SystemeTönnies, K.; Grundlagen der Bildverarbeitung; Pearson Studium 2005Lehmann, Th.; Oberschelp, W.; Pelinak, E.; Pepges, R.; Bildverarbeitung in der Medizin; Springer Verlag 1997Handels. H.; Medizinische Bildverarbeitung; Teubner Verlag, StuttgartLeipzig 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
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