Compression of multimedia data

The reasons for compressing digital information are to save storage space and transmission bandwidth. Particularly high compression rates can be achieved with lossy methods. This takes advantage of the fact that a large part of the data presented is not absorbed by the human user. In the training course, the mathematical principles of lossy compression of image, sound and video data will be explained using popular examples (keywords: jpeg, mp3, mpeg) and algorithms for fast calculation will be discussed.

Program

09.30 - 09.45Welcome
09.45 - 10.45Stinginess with bytes - Compression of multimedia data (Prof. Dr. L. Angermann)
10.45 - 11.15Coffee break
11.15 - 12.15The power of algebraic and trigonometric polynomials - Weierstrass approximation theorems and Fourier series (Dr. habil. B. Mulansky)
12.15 - 13.30lunch
13.30 - 14.30The Discrete Cosine Transform (Dr. H. Behnke)
14.30 - 15.00Coffee break
15.00 - 16.00With small waves to better images - wavelets (Prof. Dr. L. Angermann)
16.00 - 16.30Discussion and closing remarks