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Bild-, Video- und mehrdimensionale Signalverarbeitung (IVMSP)
- Dozent/in
- Prof. Dr.-Ing. André Kaup
- Angaben
- Vorlesung
Online 3 SWS, ECTS-Studium, ECTS-Credits: 5
nur Fachstudium, Sprache Englisch
Zeit: Mo 12:15 - 13:45, H9; Bemerkung zu Zeit und Ort: Die Vorlesung wird semesterbegleitend im Hörsaal aufgezeichnet und im Videoportal der Universität zur Verfügung gestellt.
- Studienfächer / Studienrichtungen
- WPF MT-MA-BDV ab 1 (ECTS-Credits: 5)
WPF CE-MA 1 (ECTS-Credits: 5)
WPF IuK-MA-ES-EEI 1-4 (ECTS-Credits: 5)
WPF IuK-MA-KN-EEI 1-4 (ECTS-Credits: 5)
WPF IuK-MA-MMS-EEI 1-4 (ECTS-Credits: 5)
WPF IuK-MA-REA-EEI 1-4 (ECTS-Credits: 5)
WF ICT-MA 1-4 (ECTS-Credits: 5)
WPF ICT-MA-NDC 1-4 (ECTS-Credits: 5)
WPF ICT-MA-MPS 1-4 (ECTS-Credits: 5)
WPF CME-MA 3 (ECTS-Credits: 5)
WF EEI-MA 1-4 (ECTS-Credits: 5)
WF WING-MA 1-4 (ECTS-Credits: 5)
WPF ASC-MA 1-4 (ECTS-Credits: 5)
WPF MT-MA-MEL ab 1 (ECTS-Credits: 5)
- Voraussetzungen / Organisatorisches
- Prerequisite: Lecture "Signals & Systems I+II"
At the first visit, access to the StudOn course has to be requested via the link https://www.studon.fau.de/studon/goto.php?target=crs_2002842 and will be granted by the course assistant.
- Inhalt
- Point operations
Histogram equalization, gamma correctionBinary operations
Morphological filters, erosion, dilation, opening, closing Color spaces
Trichromacy, red-green-blue color spaces, color representation using hue, saturation and value of intensity Multidimensional signals and systems
Theory of multidimensional signals and systems, impulse response, linear image filtering, power spectrum, Wiener filtering Interpolation of image signals
Bi-linear interpolation, bi-cubic interpolation, spline interpolation Image feature detection
Image features, edge detection, Hough transform, Harris corner detector, texture features, co-occurrence matrix Scale space representation
Laplacian of Gaussian, difference of Gaussian, scale invariant feature transform, speeded-up robust feature transform Image matching
Projective transforms, block matching, optical flow, feature-based matching using SIFT and SURF, random sample consensus algorithm Image segmentation
Amplitude thresholding, k-means clustering, Bayes classification, region-based segmentation, combined segmentation and motion estimation, temporal segmentation of video Transform domain image processing
Unitary transform, Karhunen-Loeve transform, separable transform, Haar and Hadamard transform, DFT, DCT
- Empfohlene Literatur
- J.-R. Ohm: Multimedia Content Analysis, Springer Verlag, 2016
J. W. Woods: Multidimensional Signal, Image, and Video Processing and Coding, Academic Press, 2. Auflage, 2012
- ECTS-Informationen:
- Title:
- Image, Video, and Multidimensional Signal Processing
- Credits: 5
- Prerequisites
- Prerequisite: Lecture "Signals & Systems I+II"
At the first visit, access to the StudOn course has to be requested via the link https://www.studon.fau.de/studon/goto.php?target=crs_2002842 and will be granted by the course assistant.
- Contents
- Point operations
Histogram equalization, gamma correctionBinary operations
Morphological filters, erosion, dilation, opening, closing Color spaces
Trichromacy, red-green-blue color spaces, color representation using hue, saturation and value of intensity Multidimensional signals and systems
Theory of multidimensional signals and systems, impulse response, linear image filtering, power spectrum, Wiener filtering Interpolation of image signals
Bi-linear interpolation, bi-cubic interpolation, spline interpolation Image feature detection
Image features, edge detection, Hough transform, Harris corner detector, texture features, co-occurrence matrix Scale space representation
Laplacian of Gaussian, difference of Gaussian, scale invariant feature transform, speeded-up robust feature transform
Image matching
Projective transforms, block matching, optical flow, feature-based matching using SIFT and SURF, random sample consensus algorithm Image segmentation
Amplitude thresholding, k-means clustering, Bayes classification, region-based segmentation, combined segmentation and motion estimation, temporal segmentation of video Transform domain image processing
Unitary transform, Karhunen-Loeve transform, separable transform, Haar and Hadamard transform, DFT, DCT
- Literature
- J.-R. Ohm: Multimedia Content Analysis, Springer, 2016
J. W. Woods: Multidimensional Signal, Image, and Video Processing and Coding, Academic Press, 2nd edition, 2012
- Zusätzliche Informationen
- Erwartete Teilnehmerzahl: 50
www: https://www.studon.fau.de/studon/goto.php?target=crs_2002842
- Zugeordnete Lehrveranstaltungen
- UE ([online]):Übung zu Bild-, Video- und mehrdimensionaler Signalverarbeitung
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Dozent/in: Andreas Spruck, M. Sc.
Zeit: Mi 16:15 - 17:45, H8; Bemerkung zu Zeit und Ort: The supplement course will be recorded and provided via the FAU video portal. In addition, consulting hours will be offered via Zoom. Further information can be found on StudOn. www: https://www.studon.fau.de/studon/goto.php?target=crs_2002842
- Verwendung in folgenden UnivIS-Modulen
- Startsemester WS 2020/2021:
- Bild-, Video- und mehrdimensionale Signalverarbeitung (IVMSP)
- Institution: Lehrstuhl für Multimediakommunikation und Signalverarbeitung
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