Design of Multi-dimensional Derivative Filters
Eero P. Simoncelli
Published in:
Proc. 1st Int'l Conf on Image Processing
Austin, TX. 12-15 November 1994
© IEEE Signal Processing Society
More recent, full-length paper: IP-04
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, we design
a set of matched pairs of derivative filters and lowpass prefilters.
We demonstrate the superiority of these filters over simple
difference operators.
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