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Texture fidelity criterion

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F16%3A00463638" target="_blank" >RIV/67985556:_____/16:00463638 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/ICIP.2016.7532721" target="_blank" >http://dx.doi.org/10.1109/ICIP.2016.7532721</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICIP.2016.7532721" target="_blank" >10.1109/ICIP.2016.7532721</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Texture fidelity criterion

  • Original language description

    Visual texture fidelity evaluation is important but still unsolved problem. Evaluation of how well various texture models conform with human visual perception of their original measured pattern is required not only for assessing the visual dissimilarities between a model output and the original measured texture, but also for optimal settings of model parameters, for fair comparison of distinct models, or visual scene understanding. We propose a novel texture fidelity criterion based on the fully multi-spectral generative underlying Markovian texture model, which correlates well with human texture quality ranking verified on the texture fidelity benchmark.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BD - Information theory

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA14-10911S" target="_blank" >GA14-10911S: Mathematical modeling of surface material appearance</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 2016 IEEE International Conference on Image Processing

  • ISBN

    978-1-4673-9961-6

  • ISSN

    2381-8549

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Phoenix, AZ

  • Event date

    Sep 25, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000390782002026