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Graininess of RGB-Display Space

RGB–display space, that is, the ‘RGB–cube’, was sampled at 3,000 locations, uniformly and randomly distributed. Fifty observers contributed 60 samples each. At each location, participants synthesised a copy of the target, using a generic colour picker. The statistical distributions of errors as a fu...

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Detalles Bibliográficos
Autores principales: Koenderink, Jan, van Doorn, Andrea, Gegenfurtner, Karl
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6231535/
https://www.ncbi.nlm.nih.gov/pubmed/30430002
http://dx.doi.org/10.1177/2041669518803971
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author Koenderink, Jan
van Doorn, Andrea
Gegenfurtner, Karl
author_facet Koenderink, Jan
van Doorn, Andrea
Gegenfurtner, Karl
author_sort Koenderink, Jan
collection PubMed
description RGB–display space, that is, the ‘RGB–cube’, was sampled at 3,000 locations, uniformly and randomly distributed. Fifty observers contributed 60 samples each. At each location, participants synthesised a copy of the target, using a generic colour picker. The statistical distributions of errors as a function of location are used to define an overall measure of graininess. A smooth field of interpolated three-dimensional covariance ellipsoids represents an explicit, empirical Riemannian metric. The unit step size is about 20 times larger than the size of the classical MacAdam ellipses. We speculate that this metric might be found useful in various settings involving applications, because it reflects typical fuzziness encountered in generic tasks involving colour patterns such as images. Some of the more obvious applications are discussed.
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spelling pubmed-62315352018-11-14 Graininess of RGB-Display Space Koenderink, Jan van Doorn, Andrea Gegenfurtner, Karl Iperception Article RGB–display space, that is, the ‘RGB–cube’, was sampled at 3,000 locations, uniformly and randomly distributed. Fifty observers contributed 60 samples each. At each location, participants synthesised a copy of the target, using a generic colour picker. The statistical distributions of errors as a function of location are used to define an overall measure of graininess. A smooth field of interpolated three-dimensional covariance ellipsoids represents an explicit, empirical Riemannian metric. The unit step size is about 20 times larger than the size of the classical MacAdam ellipses. We speculate that this metric might be found useful in various settings involving applications, because it reflects typical fuzziness encountered in generic tasks involving colour patterns such as images. Some of the more obvious applications are discussed. SAGE Publications 2018-10-23 /pmc/articles/PMC6231535/ /pubmed/30430002 http://dx.doi.org/10.1177/2041669518803971 Text en © The Author(s) 2018 http://creativecommons.org/licenses/by/4.0/ Creative Commons CC-BY: This article is distributed under the terms of the Creative Commons Attribution 4.0 License (http://www.creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Article
Koenderink, Jan
van Doorn, Andrea
Gegenfurtner, Karl
Graininess of RGB-Display Space
title Graininess of RGB-Display Space
title_full Graininess of RGB-Display Space
title_fullStr Graininess of RGB-Display Space
title_full_unstemmed Graininess of RGB-Display Space
title_short Graininess of RGB-Display Space
title_sort graininess of rgb-display space
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6231535/
https://www.ncbi.nlm.nih.gov/pubmed/30430002
http://dx.doi.org/10.1177/2041669518803971
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