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 
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.
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Metadaten
Author:Rüdiger W. Brause, Jürgen Glitsch
URN:urn:nbn:de:hebis:30-79057
Document Type:Article
Language:English
Date of Publication (online):2010/09/08
Year of first Publication:1995
Publishing Institution:Univ.-Bibliothek Frankfurt am Main
Release Date:2010/09/08
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):License Logo Veröffentlichungsvertrag für Publikationen

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