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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    Title :

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


    Contributors:


    Publication date :

    2003-01-01


    Size :

    663541 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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