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, we design a set of matched pairs of derivative filters and lowpass prefilters. We demonstrate the superiority of these filters over simple difference operators.

• Type: Conference
• Year: 1994
• Where: ICIP
• Authors: Eero P. Simoncelli
• Keywords: ICIP 1994, Image Processing, Many Multi-dimensional Signal, Simple Difference Operators, Traditional Derivative Estimates