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dc.contributor.authorMolada Tebar, Adolfo 
dc.date.accessioned2026-01-15T10:16:28Z
dc.date.available2026-01-15T10:16:28Z
dc.date.issued2022-08-31
dc.identifier.urihttp://hdl.handle.net/10366/168817
dc.description.abstractCOlour Operations Library for Processing Images (COOLPI) is an open-source toolbox programmed in Python for the treatment of colorimetric and spectral data. It includes classes, methods and functions developed and tested following the colorimetric standards published by the Commission Internationale de l'Éclairage (CIE, 2018). The COOLPI package has been developed as part of the INDIGO project (In-ventory and DI-sseminate G-raffiti along the d-O-naukanal) carried out by the Ludwig Boltzmann Institute for Archaeological Prospection and Virtual Archaeology in close collaboration with the GEO Department of TU Wien University. The achievement of colour-accurate digital images is one of the primary research topics within the INDIGO project. Therefore, the COOLPI package also includes specific procedures for digital image processing and colour correction, particularly from images in RAW format. Although the coolpi package has been designed mainly for Cultural Heritage documentation applications based on digital imaging techniques, we are confident that its applicability can be extended to any discipline where colour accurate registration is required.es_ES
dc.language.isoenges_ES
dc.rightsAtribución-NoComercial 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectCIEes_ES
dc.subjectColorimetryes_ES
dc.subjectPythones_ES
dc.subjectPyPies_ES
dc.subjectImage Processinges_ES
dc.subjectSoftware developmentes_ES
dc.titleCOOLPI - Colour Operations Library for Processing Imageses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.identifier.doihttps://doi.org/10.13140/RG.2.2.25784.01289
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


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