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.
- Nonlinear filters
- Rank and sample selection probabilities
- Weighted median filters
ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering
- Applied Mathematics