Can we estimate which colors our participants see? Comparing results from different gamma correction methods

In experimental color research, one must ensure that color is displayed and described reliably. When monitors are involved, colors are displayed through device-dependent color systems. However, these values must be translated into device-independent color systems to interpret what people perceive, often involving techniques such as gamma correction. We sought to explore the feasibility of estimating gamma instead of relying on direct gamma measurements, which typically require specialized equipment like a chromameter. Potential solutions include a computerized perception-based gamma estimation task or adopting the industry-standard gamma value of 2.2. We compared these two solutions against the chromameter measurements in the context of a color-matching task. Thirty-nine participants visually matched red, yellow, green, and blue physical objects using a computerized color picker. Starting from these color choices, we applied two RGB-to-CIE<i>Lab</i> color conversion methods: one using a perception-based gamma estimation and another using the industry-standard gamma. Color values obtained with the chromameter differed from the other two methods by 6-15 JNDs. Small differences existed between the results obtained using the perception-based task and the industry-standard gamma. Thus, we conclude that when standard viewing conditions cannot be assumed, adopting a gamma value of 2.2 should suffice.

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Institutions

Publication Details

Journal
i-Perception
Published
2024-09-01
DOI
https://doi.org/10.1177/20416695241278562
Citations
5
Primary Topic
Color perception and design
Type
article
Field-Weighted Citation Impact
3.22

Funders

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article

Can we estimate which colors our participants see? Comparing results from different gamma correction methods

Domicelė Jonauskaitė, Déborah Epicoco, C. Alejandro Párraga, Christine Möhr
5 citations
i-Perception
Color perception and design
3.22
article

Can we estimate which colors our participants see? Comparing results from different gamma correction methods

Domicelė Jonauskaitė, Déborah Epicoco, C. Alejandro Párraga, Christine Möhr
article en
5 citations

Abstract

In experimental color research, one must ensure that color is displayed and described reliably. When monitors are involved, colors are displayed through device-dependent color systems. However, these values must be translated into device-independent color systems to interpret what people perceive, often involving techniques such as gamma correction. We sought to explore the feasibility of estimating gamma instead of relying on direct gamma measurements, which typically require specialized equipment like a chromameter. Potential solutions include a computerized perception-based gamma estimation task or adopting the industry-standard gamma value of 2.2. We compared these two solutions against the chromameter measurements in the context of a color-matching task. Thirty-nine participants visually matched red, yellow, green, and blue physical objects using a computerized color picker. Starting from these color choices, we applied two RGB-to-CIE<i>Lab</i> color conversion methods: one using a perception-based gamma estimation and another using the industry-standard gamma. Color values obtained with the chromameter differed from the other two methods by 6-15 JNDs. Small differences existed between the results obtained using the perception-based task and the industry-standard gamma. Thus, we conclude that when standard viewing conditions cannot be assumed, adopting a gamma value of 2.2 should suffice.

i-PerceptionVol. 15(5)
Universitat Autònoma de Barcelona (ES), University of Vienna (AT), Computer Vision Center, University of Lausanne (CH)
National Science Foundation, Centres de Recerca de Catalunya, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Agència de Gestió d'Ajuts Universitaris i de Recerca, Agencia Estatal de Investigación
Industry, innovation and infrastructure
Openalex Percentile: Top 8%
Color perception and design
3.22
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