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 language | English (US) |
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Article number | 413423 |
Pages (from-to) | 790-794 |
Number of pages | 5 |
Journal | Proceedings - International Conference on Image Processing, ICIP |
Volume | 1 |
DOIs | |
State | Published - 1994 |
Event | The 1994 1st IEEE International Conference on Image Processing - Austin, TX, USA Duration: Nov 13 1994 → Nov 16 1994 |
ASJC Scopus subject areas
- Software
- Computer Vision and Pattern Recognition
- Signal Processing