Towards Colour-Accurate Documentation of Anonymous Expressions

Colour is a powerful communication element in most forms of cultural heritage. This importance of colour notwithstanding, the documentation of cultural heritage typically captures the geometrical aspects and seldom the spectral dimensions of an artefact. This is partly because the science of colour...

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Detalhes bibliográficos
Autores: Molada-Tebar, Adolfo, Verhoeven, Geert J.
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2023
País:España
Recursos:Universidad de Salamanca (USAL)
Repositório:GREDOS. Repositorio Institucional de la Universidad de Salamanca
OAI Identifier:oai:gredos.usal.es:10366/168948
Acesso em linha:http://hdl.handle.net/10366/168948
https://doi.org/10.48619/indigo.v0i0.704
Access Level:Acceso aberto
Palavra-chave:camera characterisation
CIE colour spaces
colorimetry
colour transformation
COOLPI
graffiti
image processing
Python
RAW photo
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spelling Towards Colour-Accurate Documentation of Anonymous ExpressionsMolada-Tebar, AdolfoVerhoeven, Geert J.camera characterisationCIE colour spacescolorimetrycolour transformationCOOLPIgraffitiimage processingPythonRAW photoColour is a powerful communication element in most forms of cultural heritage. This importance of colour notwithstanding, the documentation of cultural heritage typically captures the geometrical aspects and seldom the spectral dimensions of an artefact. This is partly because the science of colour (called colorimetry) is non-trivial. In addition, capturing accurate colour data with digital cameras remains challenging due to the operating principle of standard imaging sensors and the need for a stable and well-characterised illumination source. Despite these limitations, the heritage science project INDIGO made it one of its central aims to generate colour-accurate photos from graffiti captured with standard digital cameras in varying outdoor illumination conditions. This paper first discusses the importance of colour accuracy in graffiti documentation. Afterwards, the text details (in a non-mathematical manner) essential colorimetric and camera principles that underlie the generation of colour images from raw image sensor data. This in-depth coverage supports clarifying the main hurdles to accurate photo colours. Finally, the paper introduces the open-source COOLPI software resulting from this research. We are confident that COOLPI will benefit any other heritage documentation project, or any application where digital cameras play a fundamental role in acquiring correct colour values.202620262023info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10366/168948https://doi.org/10.48619/indigo.v0i0.704reponame:GREDOS. Repositorio Institucional de la Universidad de Salamancainstname:Universidad de Salamanca (USAL)Heritage_2020-014_INDIGOAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:gredos.usal.es:10366/1689482026-06-07T06:28:51Z
dc.title.none.fl_str_mv Towards Colour-Accurate Documentation of Anonymous Expressions
title Towards Colour-Accurate Documentation of Anonymous Expressions
spellingShingle Towards Colour-Accurate Documentation of Anonymous Expressions
Molada-Tebar, Adolfo
camera characterisation
CIE colour spaces
colorimetry
colour transformation
COOLPI
graffiti
image processing
Python
RAW photo
title_short Towards Colour-Accurate Documentation of Anonymous Expressions
title_full Towards Colour-Accurate Documentation of Anonymous Expressions
title_fullStr Towards Colour-Accurate Documentation of Anonymous Expressions
title_full_unstemmed Towards Colour-Accurate Documentation of Anonymous Expressions
title_sort Towards Colour-Accurate Documentation of Anonymous Expressions
dc.creator.none.fl_str_mv Molada-Tebar, Adolfo
Verhoeven, Geert J.
author Molada-Tebar, Adolfo
author_facet Molada-Tebar, Adolfo
Verhoeven, Geert J.
author_role author
author2 Verhoeven, Geert J.
author2_role author
dc.subject.none.fl_str_mv camera characterisation
CIE colour spaces
colorimetry
colour transformation
COOLPI
graffiti
image processing
Python
RAW photo
topic camera characterisation
CIE colour spaces
colorimetry
colour transformation
COOLPI
graffiti
image processing
Python
RAW photo
description Colour is a powerful communication element in most forms of cultural heritage. This importance of colour notwithstanding, the documentation of cultural heritage typically captures the geometrical aspects and seldom the spectral dimensions of an artefact. This is partly because the science of colour (called colorimetry) is non-trivial. In addition, capturing accurate colour data with digital cameras remains challenging due to the operating principle of standard imaging sensors and the need for a stable and well-characterised illumination source. Despite these limitations, the heritage science project INDIGO made it one of its central aims to generate colour-accurate photos from graffiti captured with standard digital cameras in varying outdoor illumination conditions. This paper first discusses the importance of colour accuracy in graffiti documentation. Afterwards, the text details (in a non-mathematical manner) essential colorimetric and camera principles that underlie the generation of colour images from raw image sensor data. This in-depth coverage supports clarifying the main hurdles to accurate photo colours. Finally, the paper introduces the open-source COOLPI software resulting from this research. We are confident that COOLPI will benefit any other heritage documentation project, or any application where digital cameras play a fundamental role in acquiring correct colour values.
publishDate 2023
dc.date.none.fl_str_mv 2023
2026
2026
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10366/168948
https://doi.org/10.48619/indigo.v0i0.704
url http://hdl.handle.net/10366/168948
https://doi.org/10.48619/indigo.v0i0.704
dc.relation.none.fl_str_mv Heritage_2020-014_INDIGO
dc.rights.none.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:GREDOS. Repositorio Institucional de la Universidad de Salamanca
instname:Universidad de Salamanca (USAL)
instname_str Universidad de Salamanca (USAL)
reponame_str GREDOS. Repositorio Institucional de la Universidad de Salamanca
collection GREDOS. Repositorio Institucional de la Universidad de Salamanca
repository.name.fl_str_mv
repository.mail.fl_str_mv
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