Many multi-dimensional signal processing problems require the computation of signal gradients or directional derivatives. Traditional derivative estimates based on adjacent or central differences are often inappropriate for multi-dimensional problems. As replacements for these traditional operators, the author designs a set of matched pairs of derivative filters and lowpass prefilters. The author demonstrates the superiority of these filters over simple difference operators.<>


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    Title :

    Design of multi-dimensional derivative filters


    Contributors:


    Publication date :

    1994-01-01


    Size :

    341820 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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