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Volume: 4 | Article ID: art00084
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Contour and Detail Detection for Spatially Adaptive Color Median Filtering
F. Robert-Inacio
J. Angulo
É. Dinet
  DOI :  10.2352/CGIV.2008.4.1.art00084  Published Online :  January 2008
Abstract

In this paper, we present a spatially adaptive filter for color median filtering. Several alternative implementations of such a filter are given, using different ways of gradient computation. Then, several methods of color median filtering are compared in terms of performance on a particular image. Vector median filters are considered as well as median filters inspired by grey-level methods.

Journal Title : Conference on Colour in Graphics, Imaging, and Vision
Publisher Name : Society of Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151, USA
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 DOI 10.2352/CGIV.2008.4.1.art00084
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F. Robert-Inacio, J. Angulo, É. Dinet, "Contour and Detail Detection for Spatially Adaptive Color Median Filtering"  in Proc. IS&T CGIV 2008/MCS'08 4th European Conf. on Colour in Graphics, Imaging, and Vision 10th Int'l Symp. on Multispectral Colour Science,  2008,  pp 388 - 393,  https://doi.org/10.2352/CGIV.2008.4.1.art00084

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Copyright © Society for Imaging Science and Technology 2008
72010351
Conference on Colour in Graphics, Imaging, and Vision
conf colour graph imag vis
2158-6330
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA
2158-6330(20080101)2008:1L.388;1-
cgiv_v2008n1/splitsection84.xml
/ist/cgiv/2008/00002008/00000001/art00084
Articles
Contour and Detail Detection for Spatially Adaptive Color Median Filtering
Robert-InacioF.
AnguloJ.
DinetÉ.
01012008
2008
1
388
393
2008
In this paper, we present a spatially adaptive filter for color median filtering. Several alternative implementations of such a filter are given, using different ways of gradient computation. Then, several methods of color median filtering are compared in terms of performance on a particular image. Vector median filters are considered as well as median filters inspired by grey-level methods.