Colour constancy in natural images through colour naming and sensor sharpening

Colour is derived from three physical properties: incident light, object reflectance and sensor sensitivities./nIncident light varies under natural conditions; hence, recovering scene illuminant is an important issue in com-/nputational colour. One way to deal with this problem under calibrated cond...

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Autor: Vazquez-Corral, Javier
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2014
País:España
Institución:Universitat Pompeu Fabra
Repositorio:Repositorio Digital de la UPF
OAI Identifier:oai:repositori.upf.edu:10230/25905
Acceso en línea:http://hdl.handle.net/10230/25905
http://dx.doi.org/10.5565/rev/elcvia.627
Access Level:acceso abierto
Palabra clave:Colour and texture
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spelling Colour constancy in natural images through colour naming and sensor sharpeningVazquez-Corral, JavierColour and textureColour is derived from three physical properties: incident light, object reflectance and sensor sensitivities./nIncident light varies under natural conditions; hence, recovering scene illuminant is an important issue in com-/nputational colour. One way to deal with this problem under calibrated conditions is by following three steps, 1)/nbuilding a narrow-band sensor basis to accomplish the diagonal model, 2) building a feasible set of illuminants,/nand 3) defining criteria to select the best illuminant. In this work we focus on colour constancy for natural/nimages by introducing perceptual criteria in the first and third stages./nTo deal with the illuminant selection step, we hypothesize that basic colour categories can be used as anchor/ncategories to recover the best illuminant. These colour names are related to how the human visual system has/nevolved to encode relevant natural colour statistics. Therefore the recovered image provides the best represen-/ntation of the scene labelled with the basic colour terms. We demonstrate with several experiments how this/nselection criterion achieves current state-of-art results in computational colour constancy. In addition to this/nresult, we psychophysically prove that usual angular error used in colour constancy does not correlate with/nhuman preferences, and we propose a new perceptual colour constancy evaluation./nThe implementation of this selection criterion strongly relies on the use of a diagonal model for illuminant/nchange. Then, the second contribution focuses on building an appropriate narrow-band sensor basis to represent/nnatural images. We propose to use the spectral sharpening technique to compute a unique narrow-band basis/noptimized to represent a large set of natural reflectances under natural illuminants and given in the basis of hu-/nman cones. The proposed sensors allow predicting unique hues and the World colour Survey data independently/nof the illuminant by using a compact singularity function. Additionally, we studied different families of sharp/nsensors to minimize different perceptual measures. This study brought us to extend the spherical sampling/nprocedure from 3D to 6D./nSeveral research lines remain still open, such as, measuring the effects of using the computed sharp sen-/nsors on the category hypothesis; or inserting spatial contextual information to improve category hypothesis./nFinally,to explore how individual sensors can be adjusted to the colours in a scene.Computer Vision Center Press201620162014info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/25905http://dx.doi.org/10.5565/rev/elcvia.627reponame:Repositorio Digital de la UPFinstname:Universitat Pompeu FabraInglésElectronic Letters on Computer Vision and Image Analysis. 2014;13(2)This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.http://creativecommons.org/licenses/by-nc-nd/3.0/info:eu-repo/semantics/openAccessoai:repositori.upf.edu:10230/259052026-06-12T07:21:37Z
dc.title.none.fl_str_mv Colour constancy in natural images through colour naming and sensor sharpening
title Colour constancy in natural images through colour naming and sensor sharpening
spellingShingle Colour constancy in natural images through colour naming and sensor sharpening
Vazquez-Corral, Javier
Colour and texture
title_short Colour constancy in natural images through colour naming and sensor sharpening
title_full Colour constancy in natural images through colour naming and sensor sharpening
title_fullStr Colour constancy in natural images through colour naming and sensor sharpening
title_full_unstemmed Colour constancy in natural images through colour naming and sensor sharpening
title_sort Colour constancy in natural images through colour naming and sensor sharpening
dc.creator.none.fl_str_mv Vazquez-Corral, Javier
author Vazquez-Corral, Javier
author_facet Vazquez-Corral, Javier
author_role author
dc.subject.none.fl_str_mv Colour and texture
topic Colour and texture
description Colour is derived from three physical properties: incident light, object reflectance and sensor sensitivities./nIncident light varies under natural conditions; hence, recovering scene illuminant is an important issue in com-/nputational colour. One way to deal with this problem under calibrated conditions is by following three steps, 1)/nbuilding a narrow-band sensor basis to accomplish the diagonal model, 2) building a feasible set of illuminants,/nand 3) defining criteria to select the best illuminant. In this work we focus on colour constancy for natural/nimages by introducing perceptual criteria in the first and third stages./nTo deal with the illuminant selection step, we hypothesize that basic colour categories can be used as anchor/ncategories to recover the best illuminant. These colour names are related to how the human visual system has/nevolved to encode relevant natural colour statistics. Therefore the recovered image provides the best represen-/ntation of the scene labelled with the basic colour terms. We demonstrate with several experiments how this/nselection criterion achieves current state-of-art results in computational colour constancy. In addition to this/nresult, we psychophysically prove that usual angular error used in colour constancy does not correlate with/nhuman preferences, and we propose a new perceptual colour constancy evaluation./nThe implementation of this selection criterion strongly relies on the use of a diagonal model for illuminant/nchange. Then, the second contribution focuses on building an appropriate narrow-band sensor basis to represent/nnatural images. We propose to use the spectral sharpening technique to compute a unique narrow-band basis/noptimized to represent a large set of natural reflectances under natural illuminants and given in the basis of hu-/nman cones. The proposed sensors allow predicting unique hues and the World colour Survey data independently/nof the illuminant by using a compact singularity function. Additionally, we studied different families of sharp/nsensors to minimize different perceptual measures. This study brought us to extend the spherical sampling/nprocedure from 3D to 6D./nSeveral research lines remain still open, such as, measuring the effects of using the computed sharp sen-/nsors on the category hypothesis; or inserting spatial contextual information to improve category hypothesis./nFinally,to explore how individual sensors can be adjusted to the colours in a scene.
publishDate 2014
dc.date.none.fl_str_mv 2014
2016
2016
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/10230/25905
http://dx.doi.org/10.5565/rev/elcvia.627
url http://hdl.handle.net/10230/25905
http://dx.doi.org/10.5565/rev/elcvia.627
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Electronic Letters on Computer Vision and Image Analysis. 2014;13(2)
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/3.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/3.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Computer Vision Center Press
publisher.none.fl_str_mv Computer Vision Center Press
dc.source.none.fl_str_mv reponame:Repositorio Digital de la UPF
instname:Universitat Pompeu Fabra
instname_str Universitat Pompeu Fabra
reponame_str Repositorio Digital de la UPF
collection Repositorio Digital de la UPF
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