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This entry is from Winter semester 2022/23 and might be obsolete. You can find a current equivalent here.

CS 682 — Multimedia Signal Processing
(dt. Multimediale Signalverarbeitung)

Level, degree of commitment Specialization module, compulsory elective module
Forms of teaching and learning,
Lecture (4 SWS), recitation class (2 SWS),
270 hours (90 h attendance, 180 h private study)
Credit points,
formal requirements
9 CP
Course requirement(s): Successful completion of at least 50 percent of the points from the weekly exercises as well as at least 2 presentations of the tasks.
Examination type: Oral or written examination
The grading is done with 0 to 15 points according to the examination regulations for the degree program M.Sc. Computer Science.
One semester,
In der Regel jedes Sommersemester
Person in charge of the module's outline Prof. Dr. Thorsten Thormählen


  • Basics of digital signal processing
  • Digitization of audio, images and video
  • Audio effects
  • Image processing
  • Compression of images
  • Audio compression
  • Video compression

Qualification Goals

The lecture enables the participants to create content for modern communication media and to gain in-depth knowledge of approaches for the digital acquisition, processing, storage, and transmission of multimedia data. Here, a focus is placed on auditory and visual media. In addition, an objective is to improve the participant's skills in media design as well as the ability to recognize, formulate, and solve problems via training with practical examples.




Module imported from M.Sc. Computer Science.

It can be attended at FB12 in study program(s)

  • B.Sc. Data Science
  • B.Sc. Computer Science
  • B.Sc. Business Informatics
  • M.Sc. Data Science
  • M.Sc. Computer Science
  • M.Sc. Mathematics
  • M.Sc. Business Informatics
  • M.Sc. Business Mathematics
  • LAaG Computer Science

When studying B.Sc. Computer Science, this module can be attended in the study area Compulsory Elective Modules in Computer Science.

The module is assigned to Practical Computer Science. Further information on eligibility can be found in the description of the study area.

Recommended Reading

  • B. Jähne: Digitale Bildverarbeitung, Springer, 2005;
  • P. Ackermann: Computer und Musik: Eine Einführung in die digitale Klang- und Musikverarbeitung, Springer, 1991;
  • T. Strutz: Bilddatenkompression: Grundlagen, Codierung, Wavelets, JPEG, MPEG, H.264, Vieweg+Teubner, 2009;
  • A. C. Bovik: Handbook of Image and Video Processing, Academic Press, 2000;
  • R. C. Gonzalez, R. E. Woods: Digital Image Processing, Prentice Hall International, 2001;
  • D. Taubman, M. Marcellin: JPEG2000 Image Compression, Kluwer, 2001;
  • J Watkinson: The MPEG Handbook : MPEG-1, MPEG-2, MPEG-4, Focal Press, 2004;
  • I. E. G. Richardson: H.264 and MPEG-4 Video Compression, John Wiley & Sons, 2003;

Please note:

This page describes a module according to the latest valid module guide in Winter semester 2022/23. Most rules valid for a module are not covered by the examination regulations and can therefore be updated on a semesterly basis. The following versions are available in the online module guide:

The module guide contains all modules, independent of the current event offer. Please compare the current course catalogue in Marvin.

The information in this online module guide was created automatically. Legally binding is only the information in the examination regulations (Prüfungsordnung). If you notice any discrepancies or errors, we would be grateful for any advice.