Practical Course Media Processing
Previous Year's Students' Projects
- Pascal Gruppe
- Benjamin Mayer
- Bastian Cornelsen
The lecture covers the technologies of media processing. In particular, the lecture focuses on image processing chain from digital imaging, through image pre-/and postprocessing, and image storage to image analysis. In addition to compression techniques and color space theory (RGB, HSV, YUV, CIEXYZ, ...), the topics of the lecture include image enhancement, feature extraction, feature description, image analysis and image comprehension. The lecture furthermore discusses the encoding and analysis of video and audio.
Placement in the Curriculum
The Module Human-Computer Interaction is an elective compulsory module for practical computer science. The module is offered as a lecture with an accompanying practical project of 6 ECTS (2VL + 2PR). The expected workload is 180 hours with an 56 hours of expected attendance time. The module involves independent project work in small teams.
Learning Goals / Competences
The students can explain the basics of image processing and know which algorithms exist for the basic tasks in image processing and how these are applied.
The students can apply basic methods of image processing they learned in the lecture to solve simple problems.
Wilhelm Burger und Mark James Burge. Digitale Bildverarbeitung: Eine Einführung mit Java und Image, J. Springer, 2006.