We address the problem of vector-valued image regularization with variational methods and PDEs. From the study of existing formalisms, we propose a unifying framework based on a very local interpretation of the regularization processes. The resulting equations are then specialized into new regularization PDEs and corresponding numerical schemes that respect the local geometry of vector-valued images. They are finally applied on a wide variety of image processing problems, including color image restoration, in-painting, magnification and flow visualization.


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    Titel :

    Vector-valued image regularization with PDE's: a common framework for different applications


    Beteiligte:
    Tschumperle, D. (Autor:in) / Deriche, R. (Autor:in)


    Erscheinungsdatum :

    01.01.2003


    Format / Umfang :

    663541 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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