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The colors seen behind transparent filters.

M D'Zmura¹, O Rinner, K R Gegenfurtner

¹Max-Planck-Institut für biologische Kybernetik, Spemanstrasse 38, D 72076 Tübingen, Germany. mdzmura@ucl.edu

|January 6, 2001

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This study explored how transparent filters affect perceived surface colors and lightness. A convergence model, accounting for color shifts and contrast changes, accurately describes visual system interpretations of filter effects.

Area of Science:

Visual Perception
Color Science
Computational Neuroscience

Background:

Transparent filters alter the perceived colors and lightnesses of surfaces.
Previous models suggest the visual system interprets these changes as a convergence in color space, involving color shifts and contrast changes.

Purpose of the Study:

To test a convergence model of how the visual system interprets color transformations by transparent filters.
To compare the predictive power of the convergence model against other models, such as affine transformations and von Kries scaling.

Main Methods:

An asymmetric matching task was employed using computer graphic simulations.
Observers adjusted the color of a surface viewed through a simulated filter to match a surface viewed in plain view.

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Main Results:

The convergence model provided a good fit to the observed color-matching data.
The convergence model performed nearly as well as a more complex affine-transformation model.
Alternative models, including von Kries scaling, showed poorer performance.

Conclusions:

The findings support a model where color constancy under transparent filters is explained by both color shifts and contrast changes.
The convergence model offers a parsimonious explanation for visual perception of filtered surfaces.