This paper presents a new technique for noise removal in images. It benefits both from the recent advances in wavelet-based and variational denoising. Whereas wavelet-based analysis tends to strongly depend on the selected wavelet basis, we propose to combine and fuse several mono-wavelet analysis within a variational framework. The associated energy function involves M-estimator in order to guarantee the robustness to outliers and to preserve image structures (edges, ridges, etc.). An experimental evaluation for a Gaussian additive noise validates the proposed approach and an application to speckle removal in sonar sea-bed images highlights the interest of this approach for real images.


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    Titel :

    Variational multi-wavelet restoration of noisy images


    Beteiligte:
    Fablet, R. (Autor:in) / Augustin, J.-M. (Autor:in)


    Erscheinungsdatum :

    01.01.2005


    Format / Umfang :

    293321 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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