We address the problem of image deconvolution under I/sub p/ norm (and other) penalties expressed in the wavelet domain. We propose an algorithm based on the bound optimization approach; this approach allows deriving EM-type algorithms without using the concept of missing/hidden data. The algorithm has provable monotonicity both with orthogonal or redundant wavelet transforms. We also derive bounds on the l/sub p/ norm penalties to obtain closed form update equations for any p /spl isin/ [0, 2]. Experimental results show that the proposed method achieves state-of-the-art performance.


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    Titel :

    A bound optimization approach to wavelet-based image deconvolution


    Beteiligte:
    Figueiredo, M.A.T. (Autor:in) / Nowak, R.D. (Autor:in)


    Erscheinungsdatum :

    01.01.2005


    Format / Umfang :

    150621 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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