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Image, Video, and Multidimensional Signal Processing (IVMSP)
- Lecturer
- Prof. Dr.-Ing. André Kaup
- Details
- Vorlesung
3 cred.h, ECTS studies, ECTS credits: 5
nur Fachstudium, Sprache Englisch, This lecture replaces the previous lecture Visual Computing for Communication (VCC).
Time and place: Mon 12:15 - 13:45, H6; Tue 10:15 - 11:45, H6
- Fields of study
- 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 IuK-MA 1-4 (ECTS-Credits: 5)
WPF IuK-MA-KOMÜ 1-4 (ECTS-Credits: 5)
WPF IuK-MA-MMS 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)
- Prerequisites / Organisational information
- Signale und Systeme I + II
- 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
- Recommended literature
- 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 information:
- Title:
- Image, Video, and Multidimensional Signal Processing
- Credits: 5
- Prerequisites
- Lecture "Signals and Systems I+II"
- 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
- Additional information
- Expected participants: 47
- Assigned lectures
- UE: Supplements for Image, Video, and Multidimensional Signal Processing
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Lecturer: Andreas Spruck, M. Sc.
Time and place: Wed 10:15 - 11:45, room tbd; comments on time and place: Raum 03.215 (Wetterkreuz 15, Erlangen-Tennenlohe)
- Verwendung in folgenden UnivIS-Modulen
- Startsemester WS 2017/2018:
- Image, Video, and Multidimensional Signal Processing (IVMSP)
- Department: Chair of Multimedia Communications and Signal Processing (Prof. Dr. Kaup)
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