Design of multi-dimensional derivative filters

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish (US)
Article number413423
Pages (from-to)790-794
Number of pages5
JournalUnknown Journal
Volume1
DOIs
StatePublished - 1994

Fingerprint

Multidimensional Signal Processing
Filter
Derivatives
Matched pairs
Derivative
Directional derivative
Difference Operator
Replacement
Adjacent
Gradient
Signal processing
Operator
Estimate
Demonstrate
Design

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Design of multi-dimensional derivative filters. / Simoncelli, Eero.

In: Unknown Journal, Vol. 1, 413423, 1994, p. 790-794.

Research output: Contribution to journalArticle

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