Lehrstuhl für
Multimediakommunikation und Signalverarbeitung
Prof. Dr.-Ing. André Kaup

Image, Video, and Multidimensional Signal Processing

Dozent:Prof. Dr.-Ing. André Kaup
Übungsleiter:M.Sc. Andreas Spruck
Typ:Vorlesung
Sprache der Veranstaltung:Englisch
Termin Vorlesung:Mo 12:15-13:45 H6*
Di 10:15-11:45 H6*
Termin Übung:Mi 10:15-11:45 Wetterkreuz 15, Tennenlohe
Leistungspunkte:5 ECTS
Stunden (Vorlesung):3
Stunden (Übung):1

Alle Daten mit einem * sind direkt aus UnivIS importiert


Content

Point operations
Histogram equalization, gamma correction

Binary 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

Organisational Issues

Starting date for the supplements: Wed, Oct 25, 2017 at 10:15

Time Table

Mon 12:15 - 13:45 H6 Tue 10:15 - 11:45 H6 Wed 10:15 - 11:45 Wetterkreuz 15
16.10. L 17.10. -- 18.10. --
23.10. L 24.10. L 25.10. E
30.10. L 31.10. -- 01.11. --
06.11. L 07.11. L 08.11. E
13.11. L 14.11. -- 15.11. --
20.11. L 21.11. L 22.11. E
27.11. L 28.11. -- 29.11. --
04.12. L 05.12. L 06.12. E
11.12. L 12.12. L 13.12. --
18.12. L 19.12. -- 20.12. E
08.01. L 09.01. L 10.01. --
15.01. L 16.01. -- 17.01. E
22.01. L 23.01. L 24.01. --
29.01. L 30.01. -- 31.01. E
05.02. L 06.02. -- 07.02. --

Legend: L = Lecture, E = Exercise

Lecture Slides

The slides are available as PDF for students of the lecture. They can be downloaded at StudOn.

Supplements

The exercise sheets can be downloaded at StudOn subsequent to the particular exercise.

Access Data

You need a StudOn account to download the slides. The PDF files are additionally protected. The corresponding password will be given in the first lecture.

Exam

Oral exam, 30 min