Universität Wien

052600 VU Signal and Image Processing (2018W)

6.00 ECTS (4.00 SWS), SPL 5 - Informatik und Wirtschaftsinformatik
Continuous assessment of course work

URL: http://vda.univie.ac.at/Teaching/SIP/18w/
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 50 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 01.10. 15:00 - 16:30 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 04.10. 15:00 - 16:30 Elise Richter-Saal Hauptgebäude, 1.Stock, Stiege 1
  • Monday 08.10. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 11.10. 15:00 - 16:30 Elise Richter-Saal Hauptgebäude, 1.Stock, Stiege 1
  • Monday 15.10. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 18.10. 15:00 - 16:30 Elise Richter-Saal Hauptgebäude, 1.Stock, Stiege 1
  • Monday 22.10. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 25.10. 15:00 - 16:30 Elise Richter-Saal Hauptgebäude, 1.Stock, Stiege 1
  • Monday 29.10. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
  • Monday 05.11. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 08.11. 15:00 - 16:30 Elise Richter-Saal Hauptgebäude, 1.Stock, Stiege 1
  • Monday 12.11. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 15.11. 15:00 - 16:30 Elise Richter-Saal Hauptgebäude, 1.Stock, Stiege 1
  • Monday 19.11. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 22.11. 15:00 - 16:30 Elise Richter-Saal Hauptgebäude, 1.Stock, Stiege 1
  • Monday 26.11. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 29.11. 15:00 - 16:30 Elise Richter-Saal Hauptgebäude, 1.Stock, Stiege 1
  • Monday 03.12. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 06.12. 15:00 - 16:30 Elise Richter-Saal Hauptgebäude, 1.Stock, Stiege 1
  • Monday 10.12. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 13.12. 15:00 - 16:30 Elise Richter-Saal Hauptgebäude, 1.Stock, Stiege 1
  • Monday 07.01. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 10.01. 15:00 - 16:30 Elise Richter-Saal Hauptgebäude, 1.Stock, Stiege 1
  • Monday 14.01. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 17.01. 15:00 - 16:30 Elise Richter-Saal Hauptgebäude, 1.Stock, Stiege 1
  • Monday 21.01. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 24.01. 15:00 - 16:30 Elise Richter-Saal Hauptgebäude, 1.Stock, Stiege 1
  • Monday 28.01. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 31.01. 15:00 - 16:30 Elise Richter-Saal Hauptgebäude, 1.Stock, Stiege 1

Information

Aims, contents and method of the course

Spatial signals are ubiquitous. Whether they are 1D signals, as in audio or time-dependent measurement/sensors, whether these are 2D photographs and LIDAR images or whether they are 3D medical volumes, climate models, or computational fluid studies; these signals are everywhere. While many of the techniques we are covering can be explained in 1D (and for didactic reasons we will fall back to 1D a number of times) there is a fundamental difference when we need to create models of processing for more-than-1D signals. While most of "image" processing is really focused on 2D images, it is important to me that we keep the 3-dimensional nature of the world we live in in mind from day one. Hence, I am presenting a course, which is mostly an image processing course, but with some topics that are necessary to properly deal with 3D images.

* linear time-invariant systems (LTI)
* Fourier transform
* sampling + convolution
* DFT + FFT
* basic image transformations, some mathematical basics
* image restoration and reconstruction (denoising)
* wavelets and multi-resolution
* 3D scalar data / projection, rendering
* vectors and tensors

Assessment and permitted materials

Assignments: 51%
2xReaction sheets: 4%
Midterm: 20%
Final: 25%

Minimum requirements and assessment criteria

Teilnahmevorraussetzungen: StEOP, PR2, MG2, THI, MOD, ADS
Empfohlene Teilnahmevoraussetzung: NUM

The grading scale for the course will be:
1: at least 87.5%
2: at least 75.0%
3: at least 62.5%
4: at least 50.0%

Examination topics

The major goals of this course include:
* understanding transforms and being able to apply them to 2D images and 3D data
* understanding of implementations in Matlab
* use of rendering methods for understanding 3D data

Reading list

Rafael C. Gonzales, Richard E. Woods Digital Image Processing 4th edition, Addison-Wesley, 2018.
Alan V. Oppenheim, Ronald W. Schafer, Discrete-Time Signal Processing, 3rd Edition, Pearson, 2010

Association in the course directory

Last modified: Mo 07.09.2020 15:30