Demonstrates the use of saddle-node dynamics for edge-preserving and scale-space filtering. The filter is derived from the maximum entropy principle and an analogy with statistical physics. The filter is governed by a single scale parameter which dictates the spatial extent of nearby data used for determining the output. This filter is thus highly adaptive and data-driven. It provides a mechanism for a) removing impulsive noise; b) improved smoothing of nonimpulsive noise and c) preserving edges. Comparisons with conventional techniques are made using real images.<>


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    Titel :

    Saddle-node dynamics for edge-preserving and scale-space filtering


    Beteiligte:
    Yiu-Fai Wong (Autor:in)


    Erscheinungsdatum :

    01.01.1994


    Format / Umfang :

    324691 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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