Articles

Structure-adaptive image filtering using order statistics

[+] Author Affiliations
Roman M. Palenichka

National Academy of Sciences of Ukraine, Institute of Physics and Mechanics, Naukova st. 5, Lviv, Ukraine

Peter Zinterhof

Salzburg University, Hellbrunnerstrasse 34, Salzburg, Austria

Yuri B. Rytsar, Iryna B. Ivasenko

National Academy of Sciences of Ukraine, Institute of Physics and Mechanics, Naukova st. 5, Lviv, Ukraine

J. Electron. Imaging. 7(2), 339-349 (Apr 01, 1998). doi:10.1117/1.482650
History: Received Oct. 29, 1996; Revised Oct. 20, 1997; Accepted Nov. 10, 1997
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Abstract

In this article a structure-adaptive approach to the evaluation of image local properties for adaptive filtering is described. The adaptive procedure is based on selection of the most homogeneous neighborhood region from several possible structuring regions by the principle of maximum posterior probability. Then, an optimal evaluation of the pixel value at this point is performed involving pixels from the determined neighborhood region and the symmetric structuring region. The trimmed mean filters are used for the robust evaluation of local properties during estimation of object and background intensities when the supposed additive noise has a mixed conditional distribution, e.g., normal distribution with outliers. A time-efficient scheme for fast implementation of this method is proposed as well. © 1998 SPIE and IS&T.

© 1998 SPIE and IS&T

Citation

Roman M. Palenichka ; Peter Zinterhof ; Yuri B. Rytsar and Iryna B. Ivasenko
"Structure-adaptive image filtering using order statistics", J. Electron. Imaging. 7(2), 339-349 (Apr 01, 1998). ; http://dx.doi.org/10.1117/1.482650


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