Fach-Bachelor Pädagogisches Handeln in der Migrationsgesellschaft (Bachelor) > PP "Medieninformatik für Studierende musisch-künstlerischer Fächer"
Master of Education Programme (Gymnasium) Computing Science (Master of Education) > Wahlpflichtmodule (Praktische Informatik)
Master of Education Programme (Vocational and Business Education) Computing Science (Master of Education) > Praktische Vertiefung der Informatik
Master's Programme Business Informatics (Master) > Akzentsetzungsmodule der Informatik
Theel, Oliver (Module responsibility)
Boll-Westermann, Susanne (Module responsibility)
Lehrenden, Die im Modul (Prüfungsberechtigt)
Skills to be acquired in this module
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.
Professional compentence: The students
can name basic characteristics of digital media
can explain the most common methods for encoding and compressing images, video and audio
can describe basic procedures for image enhancement, feature extraction, feature description, image analysis and image comprehension
can recognize and evaluate image properties and decide for suitable image processing methods
can select existing software packages for simple image processing problems, as well as use and customize them for their specific task
can implement simple image and media processing functions in a higher programming language (e.g., C ++)
can plan, implement, and document a software project in team work
can present the results of their work to an audience and adequately respond to criticism and questions
can accept and learn from mistakes made during the process of implementation
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.
Wilhelm Burger und Mark James Burge. Digitale Bildverarbeitung: Eine Einführung mit Java und Image, J. Springer, 2006.
Literatur im Handapparat der Abteilung in der Bibliothek.
Linkliste im Lernmanagementsystem zu den einzelnen Themen der Vorlesung.
Solid programming skills in Java and/or C++, practical informatics. Interest in media processing
Form of instruction
Workload of compulsory attendance
Präsenzzeit Modul insgesamt
Type of examination
Final exam of module
The presentation of the practical project on a project day of all small groups takes place directly after the lecture period. The oral examination takes place in the first two weeks after the end of the lecture period. Any post-examinations will take place at the end of the lecture period. The exact schedule can be found on the department's web pages as well as the information in the learning management system Stud.IP.