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.

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Author:Rüdiger W. BrauseGND, Jürgen Glitsch
URN:urn:nbn:de:hebis:30-79057
DOI:https://doi.org/10.1109/TAI.1995.479416
ISSN:1082-3409
ISSN:2375-0197
Parent Title (English):Proceedings of 7th IEEE international conference on tools with artificial intelligence, 1995
Publisher:IEEE
Place of publication:Herndon, VA, USA
Document Type:Article
Language:English
Date of Publication (online):2010/09/08
Year of first Publication:1995
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2010/09/08
Volume:1995
Page Number:4
First Page:138
Last Page:141
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 und Mathematik / Informatik
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 000 Informatik, Informationswissenschaft, allgemeine Werke
Sammlungen:Universitätspublikationen
Licence (German):License LogoDeutsches Urheberrecht

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