We present a gradient-projection algorithm for solving the classical blind deconvolution problem. In our approach all known a priori information about both the unknown source and blurring functions is expressed via constraint sets. In computer simulations, the algorithm performed well even when the prior information was not accurate. In this study the algorithm is also compared with a conjugate gradient algorithm proposed by Lane (see J. Opt. Soc. Am. A, vol.9, no.9, p.1508-1514, 1992).<>


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Gradient-projection blind deconvolution


    Beteiligte:
    Yongyi Yang (Autor:in) / Galatsanos, N.P. (Autor:in) / Stark, H. (Autor:in)


    Erscheinungsdatum :

    01.01.1994


    Format / Umfang :

    412359 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Gradient-Projection Blind Deconvolution

    Yang, Y. / Galatsanos, N. P. / Stark, H. et al. | British Library Conference Proceedings | 1994


    Blind deconvolution using a mixed projection-gradient approach

    Yongyi Yang / Stark, H. / Galatsanos, N.P. | IEEE | 1994


    Blind Deconvolution Using a Mixed Projection-Gradient Approach

    Yang, Y. / Stark, H. / Galatsanos, N. P. et al. | British Library Conference Proceedings | 1994


    Unsupervised Blind Deconvolution

    Galle, R.B. | British Library Conference Proceedings | 2014


    Iteratively Reweighted Blind Deconvolution

    Calef, B. | British Library Conference Proceedings | 2014