A spectral multi-resolution image encoding network
After a short introduction into traditional image transform coding, multirate systems and multiscale signal coding the paper focuses on the subject of image encoding by a neural network. Taking also noise into account a network model is proposed which not only learns the optimal localized basis functions for the transform but also learns to implement a whitening filter by multi-resolution encoding. A simulation showing the multi-resolution capabilitys concludes the contribution.
| Author: | Rüdiger W. Brause, Jürgen Glitsch |
|---|---|
| URN: | urn:nbn:de:hebis:30-79057 |
| Document Type: | Article |
| Language: | English |
| Date of Publication (online): | 08.09.2010 |
| Year of first Publication: | 1995 |
| Publishing Institution: | Univ.-Bibliothek Frankfurt am Main |
| Source: | Proceedings of the IEEE 7th int. conference on tools with artificial intelligence, Nov. 5-8, 1995, Herndon, Virginia, pp. 138-141 |
| HeBIS PPN: | 227574532 |
| Institutes: | Informatik |
| Dewey Decimal Classification: | 004 Datenverarbeitung; Informatik |
| Sammlungen: | Universitätspublikationen |
| Licence (German): |  Veröffentlichungsvertrag für Publikationen ohne Print on Demand |
