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- W2189085303 abstract "Good edge preserving filters need to be robust against large deviations from the nominal stationarity model. The extended influence function (EIF) has been proposed to study the effect of large proportions of outliers on an estimator’s value. This extends the definition of the influence function which is mainly an infinitesimal tool. In this paper we show that the EIF may be used to predict qualitatively, useful performance measures like the output mean and the mean square error. Specifically, we use the EIF to investigate the performance of the modified trimmed mean filter. Performance predictions are then compared with results obtained through statistical simulations." @default.
- W2189085303 created "2016-06-24" @default.
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- W2189085303 date "1991-01-01" @default.
- W2189085303 modified "2023-09-24" @default.
- W2189085303 title "A THEORETICAL STUDY OF SOME NON-LINEAR EDGE PRESERVING SMOOTHING FILTERS. *" @default.
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