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Bild-, Video- und mehrdimensionale Signalverarbeitung

Lecturers

Details

Time and place:

  • Mon 12:15-13:45, Room H9

Fields of study

  • WPF MT-MA-BDV from SEM 1
  • WPF CE-MA from SEM 1
  • WPF IuK-MA-ES-EEI from SEM 1
  • WPF IuK-MA-KN-EEI from SEM 1
  • WPF IuK-MA-MMS-EEI from SEM 1
  • WPF IuK-MA-REA-EEI from SEM 1
  • WF ICT-MA from SEM 1
  • WPF ICT-MA-NDC from SEM 1
  • WPF ICT-MA-MPS from SEM 1
  • WPF CME-MA from SEM 3
  • WF EEI-MA from SEM 1
  • WF WING-MA from SEM 1
  • WPF ASC-MA from SEM 1
  • WPF MT-MA-MEL from SEM 1

Prerequisites / Organizational information

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.

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

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

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

Literature:

J.-R. Ohm: |Multimedia Content Analysis|, Springer, 2016 J. W. Woods: |Multidimensional Signal, Image, and Video Processing and Coding|, Academic Press, 2^nd^ edition, 2012

Additional information

Expected participants: 50

www: https://www.studon.fau.de/studon/goto.php?target=crs_2002842