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Proceedings Paper

Structure-adaptive image filtering using trimmed mean filters
Author(s): Roman M. Palenichka; Peter Zinterhof
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Paper Abstract

In this paper, a structure-adaptive approach to the nonlinear image filtering is described. The adaptive procedure is based on selection of the most homogenous neighborhood region from several possible structuring regions by the principle of maximum a posteriori probability. Then, an optimal evaluation of the pixel value is performed involving pixels from the determined neighborhood region. Trimmed mean filters are used for the robust evaluation of local properties during estimation of object and background intensities when the noise has a mixed conditional distribution, e.g. normal distribution with outliers.

Paper Details

Date Published: 4 April 1997
PDF: 14 pages
Proc. SPIE 3026, Nonlinear Image Processing VIII, (4 April 1997); doi: 10.1117/12.271143
Show Author Affiliations
Roman M. Palenichka, National Academy of Sciences of Ukraine (Ukraine)
Peter Zinterhof, Univ. Salzburg (Austria)


Published in SPIE Proceedings Vol. 3026:
Nonlinear Image Processing VIII
Edward R. Dougherty; Jaakko T. Astola, Editor(s)

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