Abstract
Sample and rank selection probabilities are important in the analysis of weighted median filters as well as in comparing linear and nonlinear filters. In this correspondence, we propose a new, efficient algorithm to calculate these probabilities for weighted median filters. The computational savings of this new algorithm are substantial and compare favorably with other known algorithms.
Original language | English |
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Pages (from-to) | 148-150 |
Number of pages | 3 |
Journal | IEEE Signal Processing Letters |
Volume | 9 |
Issue number | 5 |
DOIs | |
Publication status | Published - 2002 May |
Keywords
- Nonlinear filters
- Rank and sample selection probabilities
- Weighted median filters
ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering
- Applied Mathematics