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Evaluation of Two Developed Models of Human Visual System for Assessment of the Perceptual Image Quality

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F04%3A03096065" target="_blank" >RIV/68407700:21230/04:03096065 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Evaluation of Two Developed Models of Human Visual System for Assessment of the Perceptual Image Quality

  • Original language description

    The article deals with evaluation of image quality by various methods and comparison of their results. Generally, there are several ways how to assess image quality. Three main approaches are: subjective testing, objective testing and image quality evaluation using a human visual system (HVS) model. The subjective testing is based on human perception, the objective one on mathematical computing and the human visual system models on mathematical modelling of human vision respecting features of the humanperception. Then, the described methods and two designed models of HVS are used for image quality evaluation on a set of images. Results of the modelling were compared with results of the subjective and objective methods.

  • Czech name

    Není k dispozici

  • Czech description

    Není k dispozici

Classification

  • Type

    A - Audiovisual production

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA102%2F02%2F0133" target="_blank" >GA102/02/0133: Qualitative aspects of image compression methods in multimedia systems</a><br>

  • Continuities

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

Others

  • Publication year

    2004

  • Confidentiality

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

Data specific for result type

  • ISBN

    0-88986-379-2

  • Place of publication

    Zürich

  • Publisher/client name

  • Version

  • Carrier ID

    neuvedeno