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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

  • DOI - Digital Object Identifier

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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • 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

  • 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