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Proceedings Paper

The independent components of natural images are perceptually dependent
Author(s): Matthias Bethge; Thomas V. Wiecki; Felix A. Wichmann
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Paper Abstract

The independent components of natural images are a set of linear filters which are optimized for statistical independence. With such a set of filters images can be represented without loss of information. Intriguingly, the filter shapes are localized, oriented, and bandpass, resembling important properties of V1 simple cell receptive fields. Here we address the question of whether the independent components of natural images are also perceptually less dependent than other image components. We compared the pixel basis, the ICA basis and the discrete cosine basis by asking subjects to interactively predict missing pixels (for the pixel basis) or to predict the coefficients of ICA and DCT basis functions in patches of natural images. Like Kersten (1987)1 we find the pixel basis to be perceptually highly redundant but perhaps surprisingly, the ICA basis showed significantly higher perceptual dependencies than the DCT basis. This shows a dissociation between statistical and perceptual dependence measures.

Paper Details

Date Published: 15 February 2007
PDF: 12 pages
Proc. SPIE 6492, Human Vision and Electronic Imaging XII, 64920A (15 February 2007); doi: 10.1117/12.711133
Show Author Affiliations
Matthias Bethge, Max Planck Institute for Biological Cybernetics (Germany)
Thomas V. Wiecki, Max Planck Institute for Biological Cybernetics (Germany)
Felix A. Wichmann, Max Planck Institute for Biological Cybernetics (Germany)


Published in SPIE Proceedings Vol. 6492:
Human Vision and Electronic Imaging XII
Bernice E. Rogowitz; Thrasyvoulos N. Pappas; Scott J. Daly, Editor(s)

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