An Investigation Into the Bimodal Hue Dependency of the Helmholtz–Kohlrausch Effect

ABSTRACT Recent investigations into the Helmholtz–Kohlrausch (H–K) effect on modern displays have reported a complex, bimodal hue dependency that deviates from classical sinusoidal models. It has been hypothesized that this complexity might be an artifact of CIELAB non‐uniformities rather than a genuine perceptual phenomenon. This study addresses this ambiguity through a comprehensive psychophysical experiment, with results analyzed in parallel using both CIELAB and the more uniform CAM16‐UCS. The analysis reveals that the bimodal signature—characterized by distinct peaks in the cyan–blue and red–magenta regions—persists in CAM16‐UCS, supporting its validity as a perceptual attribute for highly saturated stimuli. Furthermore, it is demonstrated that the eccentricity factor () within CAM16‐UCS inherently captures the primary hue‐dependent trend of the H–K effect. Leveraging this finding, two application‐dependent models are proposed: a hue‐invariant Simplified model suitable for general engineering workflows, and a Fourier model for high‐precision applications requiring characterization of the secondary red–magenta peak. Both models are validated against eight datasets, demonstrating robust performance and offering a practical framework for lightness prediction in modern applications.

Authors

Institutions

Publication Details

Journal
Color Research & Application
Published
2026-02-04
DOI
https://doi.org/10.1002/col.70057
Primary Topic
Multisensory perception and integration
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Investigation Into the Bimodal Hue Dependency of the Helmholtz–Kohlrausch Effect

Molin Li, Lihao Xu, Ming Ronnier Luo
Color Research & Application
Multisensory perception and integration
article

An Investigation Into the Bimodal Hue Dependency of the Helmholtz–Kohlrausch Effect

Molin Li, Lihao Xu, Ming Ronnier Luo
article en

Abstract

ABSTRACT Recent investigations into the Helmholtz–Kohlrausch (H–K) effect on modern displays have reported a complex, bimodal hue dependency that deviates from classical sinusoidal models. It has been hypothesized that this complexity might be an artifact of CIELAB non‐uniformities rather than a genuine perceptual phenomenon. This study addresses this ambiguity through a comprehensive psychophysical experiment, with results analyzed in parallel using both CIELAB and the more uniform CAM16‐UCS. The analysis reveals that the bimodal signature—characterized by distinct peaks in the cyan–blue and red–magenta regions—persists in CAM16‐UCS, supporting its validity as a perceptual attribute for highly saturated stimuli. Furthermore, it is demonstrated that the eccentricity factor () within CAM16‐UCS inherently captures the primary hue‐dependent trend of the H–K effect. Leveraging this finding, two application‐dependent models are proposed: a hue‐invariant Simplified model suitable for general engineering workflows, and a Fourier model for high‐precision applications requiring characterization of the secondary red–magenta peak. Both models are validated against eight datasets, demonstrating robust performance and offering a practical framework for lightness prediction in modern applications.

Color Research & ApplicationVol. 51(2)
Hangzhou Dianzi University (CN), Zhejiang University (CN)
Openalex Percentile: Top 68%
Multisensory perception and integration
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.

An Investigation Into the Bimodal Hue Dependency of the Helmholtz–Kohlrausch Effect — Molin Li, Lihao Xu, et al. · Color Research & Application (2026) | TGRS Research Map | TGRS