Paper details

Title: Beyond colour gamuts: Novel metrics for the reproduction of photoreceptor signals

Authors: A. C. Hexley , T. Morimoto , H. E. Smithson , M. Spitschan

Abstract: Obtained from CrossRef

Abstract The colour gamut of a display defines the range of colour signals that it can reproduce. For human vision this range is typically visualized in a colour space that reflects the spectral sensitivities of the cone photoreceptors. While the cones dominate “canonical” visual function (i.e. perception of colour, form, and motion) under photopic light levels, rods and melanopsin-containing intrinsically photosensitive retinal ganglion cells (ipRGCs) also respond to light. Three-primary display technologies, with their focus on reproducing colour, are not designed to control the rod and melanopsin excitations. As a result, conventional display metrics do not capture the display’s ability to reproduce the full human physiological response to light. In this paper, two physiologically relevant metrics are proposed for quantifying the reproduction and distortion of the photoreceptor signals by visual displays. An equal-luminance photoreceptor excitation diagram is proposed, extending the MacLeod-Boynton chromaticity diagram, providing three-dimensional projections of the five-dimensional photoreceptor signal space to help with visualization. Each metric and visualisation quantifies a specific aspect of the reproducibility of real-world spectra, analogous to the colour rendering index. To demonstrate their application, we use these tools to assess both real and hypothetical displays across tens of thousands of radiance spectra derived from real-world reflectance samples under various illuminants.

Work publication date: 2021-03-01

OpenAlex: https://openalex.org/W3133925542

CODECHECK details

Certificate identifier: 2026-024

Codechecker name: Simon Christ

Time of check: 2026-09-26

Repository: https://github.com/codecheckers/SchneiderMorimotoEtAl_ColorResAppl_2026

Full certificate: https://doi.org/10.5281/zenodo.23166593

Certificate on Wikidata: Q141668972

Type: community

Venue: preprint

Summary:

The code check was straightforward. Only the toolboxes “Statistics and Machine Learning” and “Image Processing” needed to be added in contrast to what was stated in the README. Also the preprint was not up-to-date with the code of the repository but the authors provided the current version upon request.

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