This article deals with image quality evaluation ofthe compressed images especially for compression format JPEG 2000. It shows evaluation of selected test images (scene with: textures, details, text, color of face, etc.) using selected methods: subjective testing as the reference method, objective testing and two designed human vision models. At the end article compares results of these methods.


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    Titel :

    Human vision model for image quality evaluation suitable for smart imager implementation


    Beteiligte:
    Dusek, Jaroslav (Autor:in) / Roubík, Karel (Autor:in) / Bernas, Martin (Autor:in)

    Kongress:

    Smart Imagers and Their Application ; 2004 ; Moscow,Russian Federation


    Erschienen in:

    Erscheinungsdatum :

    2005-06-30





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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