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

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    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.
    Original languageEnglish
    Title of host publicationImage Quality and System Performance VIII, 24-26 January 2011, San Francisco
    EditorsS.P. Farnand, F. Gaykema
    Place of PublicationSan Francisco, CA
    Publication statusPublished - 2011
    Eventconference; Image Quality and System Performance VIII -
    Duration: 1 Jan 2011 → …

    Publication series

    NameProceedings of SPIE
    ISSN (Print)0277-786X


    Conferenceconference; Image Quality and System Performance VIII
    Period1/01/11 → …
    OtherImage Quality and System Performance VIII


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