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 - 09.45 | Welcome |
| 09.45 - 10.45 | Stinginess with bytes - Compression of multimedia data (Prof. Dr. L. Angermann) |
| 10.45 - 11.15 | Coffee break |
| 11.15 - 12.15 | The power of algebraic and trigonometric polynomials - Weierstrass approximation theorems and Fourier series (Dr. habil. B. Mulansky) |
| 12.15 - 13.30 | lunch |
| 13.30 - 14.30 | The Discrete Cosine Transform (Dr. H. Behnke) |
| 14.30 - 15.00 | Coffee break |
| 15.00 - 16.00 | With small waves to better images - wavelets (Prof. Dr. L. Angermann) |
| 16.00 - 16.30 | Discussion and closing remarks |
Topic
Compression of multimedia data
Event B3.1008.MA04
Place
Institute of Mathematics at Clausthal University of Technology
Erzstraße 1
38678 Clausthal-Zellerfeld
Time
October 1, 2008
9:30 a.m. to 4:30 p.m.
Speakers
Herr Prof. Dr. L. Angermann,
Herr Dr. habil. B. Mulansky,
Herr Dr. H. Behnke
Contact
Dr. Henning Behnke
Institute of Mathematics
Erzstraße 1
38678 Clausthal-Zellerfeld, Germany
Phone: +49 5323 72-3183
Fax: +49 5323 72-2304
Email: behnke@math.tu-clausthal.de