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Some theory of multistage order statistic filters
Conference proceeding

Some theory of multistage order statistic filters

C.G. Boncelet, R. Hakami, P.J. Warter and IEEE
Proceedings of the 32nd Midwest Symposium on Circuits and Systems, pp.59-62 vol.1
1989
DOI: https://doi.org/10.1109/MWSCAS.1989.101794

Abstract

Digital filters Digital images Filtering theory Gaussian noise Noise level Nonlinear filters Signal processing Signal to noise ratio Smoothing methods Statistics
The removal of noise by a class of order statistic filters, called multistage order statistic filters or multiwindow filters, is described. These filters take 'ranks of ranks'. A new filter type is defined and its equivalence under special circumstances to a filter defined in the literature is shown. This filter's deterministic and statistical properties are explored. This filter is believed to be the best available for smoothing high signal-to-noise ratio images.< >

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