Digital filters based on neural networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F13%3AA14017Z4" target="_blank" >RIV/61988987:17310/13:A14017Z4 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Digital filters based on neural networks
Original language description
The aim of the work is imitation of handmade original techniques used for platinotype, cyanotype, and Van Dyke via digital filters based on artificial neural networks. The proposed methodology of editing information in graphical data, which aims to create a faithful copy of the manual process of alternative photographic techniques, uses backpropagation neural networks and contributes to the resulting graphics on the basis of defined transformation matrixes. The core of the proposed methodology is the composition of the results generated by individual neural networks with their configurations after adaptation over the proposed training set. An essential part of this article is to verify the proposed methodology in an experimental study.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Mendel 2013
ISBN
978-80-214-4755-4
ISSN
1803-3814
e-ISSN
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Number of pages
6
Pages from-to
197-202
Publisher name
Brno Univerzity of Technology
Place of publication
Brno
Event location
Brno
Event date
Jun 26, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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