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Summary: Spatio-chromatic PCA of a mosaiced color
image
David Alleysson1
and Sabine Süsstrunk2
1)
Laboratory of Psychology and Neurocognition, Université Pierrre-Mendes,
France
2)
Audiovisual Communications Laboratory (LCAV), Ecole Polytechnique Fédérale
de Lausanne (EPFL), Switzerland
Abstract
In this paper, we analyze whether Principal
Component Analysis (PCA) is an appropriate tool for
estimating spatial information in spatio-chromatic
mosaiced images. Ruderman et al. [1] have shown that
the spatio-chromatic principal components of cone
images contain first spatial information, followed by blue
minus yellow and red minus green. However, their
analysis is based on fully defined spatio-chromatic
images. In case of a reduced spatio-chromatic set with a
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