The image color and vision quality evaluation plays a very important role in the algorithm design and their optimizations of image reconstruction processing. As human eyes are the last receivers for image information, we build a general evaluation model on the HVS (human visual system) and HCPM (human color perception model). According to the psychology and physiology experiments and color perception tests, by which "representation without reconstruction" is the precondition of visual perception, we build a bottom-up information acquisition model under top-bottom feedback processing driven by knowledge. In the model, the visual information from different position with varied spatial resolution is dealt with the quantificational and qualitative analysis under the precondition of the guidance of the given task and well perceptional condition.


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    Titel :

    The primary research on image color quality evaluation


    Beteiligte:
    Tao Jing, (Autor:in) / Yubin Xia, (Autor:in) / Lei Yan, (Autor:in)


    Erscheinungsdatum :

    01.01.2000


    Format / Umfang :

    431259 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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