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Partial Differential Equations Based Image Processing (IPro)5 ECTS (englische Bezeichnung: Partial Differential Equations Based Image Processing)
(Prüfungsordnungsmodul: Partial differential equations based image processing)
Modulverantwortliche/r: J. Michael Fried Lehrende:
Martin Burger
weitere Studienfächer/Prüfungsordnungsmodule:
Mathematische Wahlmodule (78606)
Start semester: |
SS 2019 | Duration: |
1 semester | Cycle: |
unregelmäßig |
Präsenzzeit: |
113 Std. | Eigenstudium: |
37 Std. | Language: |
Englisch |
Lectures:
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PDE based Image Processing
(Vorlesung, 2 SWS, Daniel Tenbrinck, Tue, 8:00 - 10:00, Übung 1 / 01.250-128; single appointment on 22.7.2019, 10:00 - 12:00, Praktikum 2 / 00.327-128)
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Tutorial to PDE based Image Processing
(Tutorium, 0,5 SWS, Daniel Tenbrinck, single appointment on 8.7.2019, 10:00 - 12:00, Praktikum 2 / 00.327-128)
Empfohlene Voraussetzungen:
Basic knowledge in functional analysis and numerical methods for pdes is recommended
Inhalt:
Lernziele und Kompetenzen:
Students
explain mathematical and algorithmic methods for image processing,
apply above image processing methods in computerised practical exercises,
apply analytical techniques to evaluate the qualitative characteristics of the above methods.
Literatur:
G. Aubert, P. Kornprobst: Mathematical problems in image processing, Springer
Verwendbarkeit des Moduls / Einpassung in den Musterstudienplan:
- Computational and Applied Mathematics (Master of Science)
(Po-Vers. 2017w | NatFak | Computational and Applied Mathematics (Master of Science) | Specialisation:Modeling and applied analysis (MApA) and numerical analysis and simulation (NASi) | Partial differential equations based image processing)
- Computational and Applied Mathematics (Master of Science)
(Po-Vers. 2017w | NatFak | Computational and Applied Mathematics (Master of Science) | Specialisation: Modeling and applied analysis (MApA) and optimization (Opti) | Partial differential equations based image processing)
- Computational and Applied Mathematics (Master of Science)
(Po-Vers. 2017w | NatFak | Computational and Applied Mathematics (Master of Science) | Specialisation: Numerical analysis and simulation (NASi) and optimization (Opti) | Partial differential equations based image processing)
Dieses Modul ist daneben auch in den Studienfächern "Mathematik (Master of Science)" verwendbar. Details
Studien-/Prüfungsleistungen:
Partial differential equations based image processing (Prüfungsnummer: 59121)
(englischer Titel: Partial differential equations based image processing)
zugeh. "mein campus"-Prüfung: | - 59121 Partial differential equations based image processing (Gewichtung: 100.0 %, Prüfung, Form: mündliche Prüfung, Drittelnoten (mit 4,3), Dauer: -, 5 ECTS, Prüfung).
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- Prüfungsleistung, mündliche Prüfung, Dauer (in Minuten): 20, benotet, 5.0 ECTS
- Anteil an der Berechnung der Modulnote: 100.0 %
- Erstablegung: SS 2019, 1. Wdh.: SS 2019
1. Prüfer: | Martin Burger (060190) |
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