This paper focuses on no-reference image sharpness/blurriness metrics due to their importance in image, video, and biomedical applications. Simulation results show that existing no-reference objective image sharpness metrics fail to predict correctly the sharpness of images in the presence of noise. A noise-immune wavelet-based sharpness metric is proposed based on the Lipschitz regularity for differentiating between edges and noise singularities. Comparison results reveal the superiority of the proposed method when dealing with a moderate noisy environment.


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    Titel :

    No-reference objective wavelet based noise immune image sharpness metric


    Beteiligte:
    Ferzli, R. (Autor:in) / Karam, L.J. (Autor:in)


    Erscheinungsdatum :

    01.01.2005


    Format / Umfang :

    347369 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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