Repeated median and hybrid filters

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Repeated median and hybrid filters

Standard median filters preserve abrupt shifts (edges) and remove impulsive noise (outliers) from a constant signal but they deteriorate in trend periods. FIR median hybrid (FMH) filters are more flexible and also preserve shifts, but they are much more vulnerable to outliers. Application of robust regression methods, in particular of the repeated median, has been suggested for removing subsequ...

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Modified repeated median filters

T. BERNHOLT, R. FRIED, U. GATHER and I. WEGENER a Department of Computer Science, University of Dortmund, 44221 Dortmund, Germany [email protected] [email protected] b Department of Statistics, University Carlos III de Madrid, 28903 Getafe, Spain [email protected] c Department of Statistics, University of Dortmund, 44221 Dortmund, Germany [email protected]...

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Median-Rational Hybrid Filters

In this paper we introduce a new class of nonlinear filters called Median-Rational Hybrid Filters (MRHF) based on Rational Functions (RF). The filter output is the result of a rational operation taking into account three sub-functions, such as two FIR or median subfilters and one center weighted median filter (CWMF). The proposed MRHF filters have the inherent property that on smooth areas they...

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Median-rational hybrid filters for image restoration

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Programmable Hardware Implementation for the Median-Rational Hybrid Filters

The Median-Rational Hybrid Filter (MRHF) has been recently introduced [1][2] as a new class of nonlinear filters and successfully applied to image filtering problems. The main characteristics of the MRHF are the good noise attenuation property in smooth areas and the preservation of edges end details. In fact, in changing areas the noise attenuation is traded for a good response to the change. ...

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ژورنال

عنوان ژورنال: Computational Statistics & Data Analysis

سال: 2006

ISSN: 0167-9473

DOI: 10.1016/j.csda.2004.12.013