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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    Title :

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


    Contributors:


    Publication date :

    1994-01-01


    Size :

    324691 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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