Robust colour constancy in red-green dichromats

Álvaro, Leticia and Linhares, João M. M. and Moreira, Humberto and Lillo, Julio and Nascimento, Sérgio M. C. (2017) Robust colour constancy in red-green dichromats. PLOS ONE, 12 (6). e0180310. ISSN 1932-6203

[img]
Preview
Text
Published Version
Available under the following license: Creative Commons Attribution.

Download (8MB) | Preview
Official URL: https://doi.org/10.1371/journal.pone.0180310

Abstract

Colour discrimination has been widely studied in red-green (R-G) dichromats but the extent to which their colour constancy is affected remains unclear. This work estimated the extent of colour constancy for four normal trichromatic observers and seven R-G dichromats when viewing natural scenes under simulated daylight illuminants. Hyperspectral imaging data from natural scenes were used to generate the stimuli on a calibrated CRT display. In experiment 1, observers viewed a reference scene illuminated by daylight with a correlated colour temperature (CCT) of 6700K; observers then viewed sequentially two versions of the same scene, one illuminated by either a higher or lower CCT (condition 1, pure CCT change with constant luminance) or a higher or lower average luminance (condition 2, pure luminance change with a constant CCT). The observers’ task was to identify the version of the scene that looked different from the reference scene. Thresholds for detecting a pure CCT change or a pure luminance change were estimated, and it was found that those for R-G dichromats were marginally higher than for normal trichromats regarding CCT. In experiment 2, observers viewed sequentially a reference scene and a comparison scene with a CCT change or a luminance change above threshold for each observer. The observers’ task was to identify whether or not the change was an intensity change. No significant differences were found between the responses of normal trichromats and dichromats. These data suggest robust colour constancy mechanisms along daylight locus in R-G dichromacy.

Item Type: Journal Article
Keywords: vision
Faculty: ARCHIVED Faculty of Science & Technology (until September 2018)
Depositing User: Ian Walker
Date Deposited: 27 Feb 2018 10:02
Last Modified: 24 Apr 2019 11:10
URI: http://arro.anglia.ac.uk/id/eprint/702775

Actions (login required)

Edit Item Edit Item