Issues in the design of a no-reference metric for perceived blur

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    5 Citaten (Scopus)

    Samenvatting

    Developing an objective metric, which automatically quantifies perceived image quality degradation induced by blur, is highly beneficial for current digital imaging systems. In many applications, these objective metrics need to be of the no-reference (NR) type, which implies that quality prediction is based on the distorted image only. Recent progress in the development of a NR blur metric is evident from many promising methods reported in the literature. However, there is still room for improvement in the design of a NR metric that reliably predicts the extent to which humans perceive blur. In this paper, we address some important issues relevant to the design as well as the application of a NR blur metric. Its purpose is not to describe a particular metric, but rather to explain current concerns and difficulties in this field, and to outline how these issues may be accounted for in the design of future metrics. © 2011 SPIE-IS&T.
    Originele taal-2Engels
    TitelImage Quality and System Performance VIII, 24-26 January 2011, San Francisco
    RedacteurenS.P. Farnand, F. Gaykema
    Plaats van productieSan Francisco, CA
    UitgeverijSPIE
    DOI's
    StatusGepubliceerd - 2011
    Evenementconference; Image Quality and System Performance VIII -
    Duur: 1 jan 2011 → …

    Publicatie series

    NaamProceedings of SPIE
    Volume7867
    ISSN van geprinte versie0277-786X

    Congres

    Congresconference; Image Quality and System Performance VIII
    Periode1/01/11 → …
    AnderImage Quality and System Performance VIII

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