1. PERFORMANCE BOUNDARIES OF OPTIMAL WEIGHTED MEDIAN FILTERS.
- Author
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Lukac, Rastislav
- Subjects
- *
DISTRIBUTION (Probability theory) , *ALGORITHMS , *GENETIC algorithms , *GENETIC programming , *ARTIFICIAL intelligence , *IMAGE processing , *COMPUTER science , *SIGNAL processing , *FILTERS (Mathematics) - Abstract
This paper focuses on image filtering using weighted median (WM) filters, a nonlinear filter class taking advantages of the robust order-statistic theory and capability to adapt a filter behavior for a variety of statistics related to the desired signals and the noise distributions. The main contribution of the paper is the analysis of the four WM optimization schemes, namely genetic WM optimization, non-adaptive WM optimization algorithm and adaptive WM filtering utilizing the linear and the sigmoidal approximation of the sign function. The analysis is done by extensive simulations, in which several features such as noise reduction, edge preservation, error estimation and dependence of error criteria on the degree of the impulse noise corruption, are examined. [ABSTRACT FROM AUTHOR]
- Published
- 2004
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