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Updated: Jun 22, 2025

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Visualizing Visual Adaptation
Published on: April 24, 2017
8.9K
Colour expectations across illumination changes.
Hamed Karimipour1, Christoph Witzel1
1School of Psychology, Southampton, United Kingdom.
Vision Research
|July 4, 2024
Summary
Human expectations for naturalistic color shifts under changing light align with real-world conditions. Relational color constancy aids in reliably identifying surface colors, even in artificial lighting scenarios.
Area of Science:
- Vision science
- Color perception
- Psychophysics
Background:
- Understanding human color expectations is crucial for color constancy research and applications in art and industry.
- Previous studies suggest color adjustments align with naturalistic illuminant-induced shifts.
Purpose of the Study:
- To investigate human expectations of naturalistic color changes under varying illuminations.
- To test if participants judge naturalistic illuminant and reflectance spectra as more plausible than artificial ones.
- To explore the role of relational color constancy in observer expectations.
Main Methods:
- Reanalysis of asymmetric color match data from a prior study.
- Three experiments using hyperspectral images of naturalistic scenes with manipulated illuminant and reflectance spectra.
- Observer judgments on the plausibility of naturalistic versus artificial color renderings.
Main Results:
- Observers selected naturalistic renderings above chance but only slightly more often than artificial ones when illuminant/reflectance were scene-wide.
- Observers more reliably identified naturalistic reflectance when only one object's reflectance was manipulated.
- Relational color constancy was found to contribute significantly to observer expectations.
Conclusions:
- Relational color constancy and prior knowledge of surface color shifts aid in identifying surface colors under illumination changes.
- Human observers can reliably recognize surface colors in naturalistic conditions due to these mechanisms.
- Relational color constancy demonstrates effectiveness in many artificial conditions as well.
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