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  How Much Can Orientation Selectivity and Contrast Gain Control Reduce the Redundancies in Natural Images

Sinz, F., & Bethge, M.(2008). How Much Can Orientation Selectivity and Contrast Gain Control Reduce the Redundancies in Natural Images (169).

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 Creators:
Sinz, FH1, Author           
Bethge, M1, Author           
Affiliations:
1Research Group Computational Vision and Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497805              

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 Abstract: The two most prominent features of early visual processing are orientation selective filtering and contrast gain control. While the effect of orientation selectivity can be assessed within in a linear model, contrast gain control is an inherently nonlinear computation. Here we employ the class of L_p elliptically contoured distributions to investigate the extent to which the two features, orientation selectivity and contrast gain control, are suited to model the statistics of natural images. Within this model we find that contrast gain control can play a significant role for the removal of redundancies in natural images. Orientation selectivity, in contrast, has only a very limited potential for linear redundancy reduction.

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 Dates: 2008-03
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: Report Nr.: 169
BibTex Citekey: 5191
 Degree: -

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