Historical image processing using 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%3AA1401AH9" target="_blank" >RIV/61988987:17310/13:A1401AH9 - 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
Historical image processing using neural networks
Original language description
The aim of the article 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 photo-graphic 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
Advanced Materials and Information Technology Processing
ISBN
978-1-84564-853-4
ISSN
1746-4471
e-ISSN
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Number of pages
8
Pages from-to
698-704
Publisher name
WITPRESS
Place of publication
UK
Event location
Los Angeles
Event date
Oct 1, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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