A fully digital auto-focusing system based on point-spread function (PSF) estimation is proposed. To increase accuracy in estimating the PSF of the defocused image, the input image is subdivided, and the step responses of edge-containing subimages are averaged. The PSF, which results from out-of-focus blur, is estimated by differentiating the averaged step response along the appropriately estimated edge direction under the assumption that an image usually contains a piece-wise linear boundary between an object and background. By using the estimated PSF, the corresponding image restoration filter is realised, based on the constrained least squares approach.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Out-of-focus blur estimation and restoration for digital auto-focusing system


    Beteiligte:
    Kim (Autor:in) / Paik (Autor:in)

    Erscheinungsdatum :

    1998-06-11


    Format / Umfang :

    3 pages



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch




    Multichannel blind blur identification and image restoration [3545-161]

    Chang, C. / Yau, S. F. / Kwok, P. et al. | British Library Conference Proceedings | 1998


    Auto-focus system

    Europäisches Patentamt | 2017

    Freier Zugriff

    A Simple Algorithm for Joint Blur Identification and Image Restoration

    You, Y.-L. / Kaveh, M. / IEEE; Signal Processing Society | British Library Conference Proceedings | 1994


    Auto-focus apparatus with digital signal processor

    Li, Qi / Feng, Huajun / Xu, Zhihai | SPIE | 2005