In this paper we present a novel structure for removal of impulse noise which is based on a combination of impulse detection and nonlinear filtering. The impulse detector is realized as a neural network which will be shown to possess a very simple structure. This means that, compared to traditional approaches, a significant gain in performance can be achieved with considerably smaller complexity. Further, we show that the basic system is not restricted to the removal of impulse noise only, and present a generalization for arbitrary noise distributions.<>


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    Title :

    Removal of impulse noise by selective filtering


    Contributors:
    Sucher, R. (author)


    Publication date :

    1994-01-01


    Size :

    456595 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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