Spatio-chromatic ICA of a Mosaiced Color Image

We analyze whether Independant Component Analysis (ICA) is an appropriate tool for estimating spatial information in spatiochromatic mosaiced color images. In previous studies, ICA analysis of natural color scenes (Hoyer et al. 2000; Tailor et al., 2000; Wachtler et al., 2001; Lee et al. 2002) have shown the emergence of achromatic patterns that can be used for luminance estimation. However, these analysis are based on fully defined spatio-chromatic images, i.e. three or more chromatic values per pixel. In case of a reduced spatio-chromatic set with a single chromatic measure per pixel, such as present in the retina or in CFA images, we found that ICA is not an appropriate tool for estimating spatial information. By extension, we discuss that the relationship between natural image statistics and the visual system does not remain valid if we take into account the spatio-chromatic sampling by cone photoreceptors.

Published in:
Springer Lecture Notes in Computer Science, 3195, 946-953
Presented at:
5th International Conference on Independent Component Analysis and Blind Signal Separation (ICA 2004), Granada, Spain, September 2004

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 Record created 2005-04-18, last modified 2020-10-25

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