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

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State: Public
Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_61F838CFD780
Type
Article: article from journal or magazin.
Publication sub-type
Minutes: analyse of a published work.
Collection
Publications
Institution
Title
Can we estimate which colours our participants see? Comparing results from different gamma correction methods
Journal
iPerception
Author(s)
Epicoco Déborah, Jonauskaite Domicele, Mohr Christine, Parraga C. Alejandro
Publication state
Published
Issued date
15/09/2024
Peer-reviewed
Oui
Volume
15
Number
5
Pages
1-25
Language
english
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-CIELab 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.
Open Access
Yes
Funding(s)
Swiss National Science Foundation / Careers / P0LAP1_175055
Swiss National Science Foundation / Careers / P500PS_202956
Swiss National Science Foundation / Careers / P5R5PS_217715
Swiss National Science Foundation / Projects / 100014_182138
Other / PID2020-118254RB-I00
Other / 2021-SGR-01470,
Create date
17/09/2024 14:43
Last modification date
18/09/2024 7:13
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