|Lecturer:||Prof. Dr.-Ing. André Kaup|
|Tutor:||M.Sc. Daniela Lanz|
|Time Lecture:||Tue 8:15-9:45 H15*|
Thu 10:15-11:45 H15*
|Time Supplements:||Thu 08:15-09:45 H15*|
Übung findet im Wechsel mit der Vorlesung statt*
|Credit Points:||5 ECTS|
All data marked with a * are directly imported from UnivIS
The lecture gives an introduction to basic concepts and algorithms for coding and transmission of image and video signals. We start with sampling and digital representation of images and video signals and learn about fundamental features of human visual perception. Principles of data compression using redundancy and irrelevancy reduction are discussed in detail together with typical algorithms used for coding of image and video signals. Among others this covers the design of quantizers with the help of the Lloyd-Max algorithm, entropy coding using Huffman and arithmetic coding, as well as run length coding. Moreover, fundamentals of vector quantization and predictive coding are addressed. Methods for frequency analysis will be discussed taking transform coding, subband decomposition and wavelet analysis as examples. The principle of motion compensation and hybrid video coding is introduced. Finally, current MPEG and ITU standards for coding of still images and video signals are explained.
The timetable as well as the slides of the lecture and the exercise handouts are available on StudOn.
The password will be given in the first lecture.