Design of multi-dimensional derivative filters

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,...

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Bibliographic Details
Published inImage Processing, 1994 International Conference on Vol. 1; pp. 790 - 794 vol.1
Main Author Simoncelli, E.P.
Format Conference Proceeding
LanguageEnglish
Published IEEE Comput. Soc. Press 1994
Subjects
Convolution
Information science
Interpolation
Kernel
Laboratories
Matched filters
Multidimensional signal processing
Optical signal processing
Signal processing
Signal processing algorithms
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ISBN0818669527
9780818669521
DOI10.1109/ICIP.1994.413423

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Summary: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.< >
ISBN:0818669527
9780818669521
DOI:10.1109/ICIP.1994.413423