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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    Title :

    No-reference objective wavelet based noise immune image sharpness metric


    Contributors:
    Ferzli, R. (author) / Karam, L.J. (author)


    Publication date :

    2005-01-01


    Size :

    347369 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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