Perceived Colorfulness of High‐Brightness Color Stimuli

ABSTRACT Perceived colorfulness (or color saturation) of a new high‐brightness color stimuli dataset was measured in a psychophysical scaling experiment. Stimuli created with a 7‐primary LED system covered a broad range of luminance from 50 to 2000 cd/m 3 and reached chromaticities beyond Rec. 2100. Experimental results reveal that previous color appearance models, such as CIECAM16 and CIELAB, do not accurately describe the measured colorfulness results, but predictions can be improved with simple power functions. Testing shows that applying a simple model results in statistically significant improvements in the performance of the predictors. This work will not only help understand the color perception of future HDR displays and advanced lighting system with narrow‐band primaries, but also contribute to future improvements to CAMs.

Authors

Institutions

Publication Details

Journal
Color Research & Application
Published
2025-06-17
DOI
https://doi.org/10.1002/col.22994
Primary Topic
Color Science and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Perceived Colorfulness of High‐Brightness Color Stimuli

Yongmin Park, Michael J. Murdoch
Color Research & Application
Color Science and Applications
article

Perceived Colorfulness of High‐Brightness Color Stimuli

Yongmin Park, Michael J. Murdoch
article en

Abstract

ABSTRACT Perceived colorfulness (or color saturation) of a new high‐brightness color stimuli dataset was measured in a psychophysical scaling experiment. Stimuli created with a 7‐primary LED system covered a broad range of luminance from 50 to 2000 cd/m 3 and reached chromaticities beyond Rec. 2100. Experimental results reveal that previous color appearance models, such as CIECAM16 and CIELAB, do not accurately describe the measured colorfulness results, but predictions can be improved with simple power functions. Testing shows that applying a simple model results in statistically significant improvements in the performance of the predictors. This work will not only help understand the color perception of future HDR displays and advanced lighting system with narrow‐band primaries, but also contribute to future improvements to CAMs.

Color Research & ApplicationVol. 50(6)
Rochester Institute of Technology (US)
Centers for Disease Control and Prevention
Openalex Percentile: Top 89%
Color Science and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Perceived Colorfulness of High‐Brightness Color Stimuli — Yongmin Park, Michael J. Murdoch · Color Research & Application (2025) | TGRS Research Map | TGRS