Evidence map›Paper›PMID 35450094›Full record

ArticleColor research and application2022

Using Smooth Metamers to Estimate Color Appearance Metrics for Diverse Color-Normal Observers.

Kevin A G Smet, Michael A Webster, Lorne A Whitehead

Open access · greenAbstract read
In one paragraph

Article in Color research and application, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 28% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Using equiluminance settings to estimate the cardinal chromatic directions for individuals.Journal of the Optical Society of America. A, Optics, image science, and vision · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 3 countries.

Kevin A G SmetLight&Lighting Laboratory, KU Leuven, Ghent, Belgium.ORCID 0000-0003-3825-6274
Michael A WebsterDepartment of Psychology, University of Nevada, Reno, Nevada, USA.
Lorne A WhiteheadDepartment of Physics and Astronomy, University of British Columbia, Vancouver, Canada.ORCID 0000-0002-4170-0033
Statistics Belgium · BEUniversity of British Columbia · CAUniversity of Nevada, Reno · US

Funding

SALIENCE, ADAPTATION, AND NATURAL IMAGE STATISTICSR01EY010834 · NEI · UNIVERSITY OF NEVADA RENO · PI WEBSTER, MICHAEL A · 2000 to 2023
$4.6M
COLOR CONTRAST ADAPTATIONR29EY010834 · NEI · UNIVERSITY OF NEVADA RENO · PI WEBSTER, MICHAEL A · 1995 to 1999
–
NEI NIH HHS R01 EY010834NEI NIH HHS R29 EY010834
6 · The paper itself

Abstract

Color-normal subjects sometimes disagree about metameric matches involving highly structured SPDs, because their cone fundamentals differ slightly, but non-negligibly. This has significant implications for the design of light sources and displays, so it should be estimated. We propose a broadly applicable estimation method based on a simple adaptive "front-end" interface that can be used with any selected standard color appearance model. The interface accepts, as input, any set of color matching functions for the individual subject (for example, these could be that person's cone response functions) and also the associated tristimulus values for the test stimulus and also for the reference stimulus (i.e. reference white). The interface converts this data into tristimulus values of the form used by the selected color appearance model (which could, for example, be X, Y, Z), while also carrying out the needed transform, which is based on an estimate of the subject's likely previous long-term adaptations to their unique cone fundamentals. The selected standard color appearance model then provides color appearance data that is an estimate of the color appearance of the test stimulus, for that individual subject. This information has the advantage of being interpretable within that model's well-known color space. The adaptive front end is based on the fact that, for any selected input SPD and the subject's unique color matching functions, there can be many different SPDs that are metameric for that individual. Since observer-to-observer color perception differences are minimized for spectrally smooth SPDs, smooth metamers predict color appearances reasonably accurately.

Identifiers

PMID35450094
PMCPMC9017994
OpenAlexW3212779617

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.