A nonlocal variational formulation for the improvement of tone mapped images

Due to technical limitations, common display devices can only reproduce images having a low range of intensity values (dynamic range). As a consequence, the dynamic range of images encoding real world scenes, which is large, has to be compressed in order for them to be reproduced on a common display...

Descripción completa

Detalles Bibliográficos
Autores: Cyriac, Praveen, Batard, Thomas, Bertalmío, Marcelo
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2014
País:España
Institución:Universitat Pompeu Fabra
Repositorio:Repositorio Digital de la UPF
OAI Identifier:oai:repositori.upf.edu:10230/26898
Acceso en línea:http://hdl.handle.net/10230/26898
http://dx.doi.org/10.1137/140967209
Access Level:acceso abierto
Palabra clave:Tone mapping
Non local variational problem
Perceptual distance
Just noticeable difference
id ES_c8e8583ca15570b3bf560e059ee37cdf
oai_identifier_str oai:repositori.upf.edu:10230/26898
network_acronym_str ES
network_name_str España
repository_id_str
spelling A nonlocal variational formulation for the improvement of tone mapped imagesCyriac, PraveenBatard, ThomasBertalmío, MarceloTone mappingNon local variational problemPerceptual distanceJust noticeable differenceDue to technical limitations, common display devices can only reproduce images having a low range of intensity values (dynamic range). As a consequence, the dynamic range of images encoding real world scenes, which is large, has to be compressed in order for them to be reproduced on a common display, and this technique is called tone mapping. Because there is no ground truth to compare with, evaluation of a tone mapped image has to be done by comparing with the original high dynamic range image. As standard metrics based on pixel-wise comparisons are not suitable for comparing images of different dynamic range, non local perceptual based metrics are commonly used. We propose a general method for optimizing tone mapped images with respect to a given non local metric. In particular, if the metric is perceptual, i.e. it involves perceptual concepts, we provide an adequate minimization strategy. Experiments on a particular perceptual metric tested with different tone mapped images provided by several tone mapping operators validate our approach.This work was supported by European Research Council, Starting Grant ref. 306337, and by Spanish grants ref. TIN2011-15954-E and ref. TIN2012-38112.SIAM (Society for Industrial and Applied Mathematics)201620162014info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/26898http://dx.doi.org/10.1137/140967209reponame:Repositorio Digital de la UPFinstname:Universitat Pompeu FabraInglésSIAM Journal on Imaging Sciences. 2014;7(4):2340-63info:eu-repo/grantAgreement/EC/FP7/306337info:eu-repo/grantAgreement/ES/3PN/TIN2011-15954-E© Society for Industrial and Applied Mathematicsinfo:eu-repo/semantics/openAccessoai:repositori.upf.edu:10230/268982026-06-12T07:21:37Z
dc.title.none.fl_str_mv A nonlocal variational formulation for the improvement of tone mapped images
title A nonlocal variational formulation for the improvement of tone mapped images
spellingShingle A nonlocal variational formulation for the improvement of tone mapped images
Cyriac, Praveen
Tone mapping
Non local variational problem
Perceptual distance
Just noticeable difference
title_short A nonlocal variational formulation for the improvement of tone mapped images
title_full A nonlocal variational formulation for the improvement of tone mapped images
title_fullStr A nonlocal variational formulation for the improvement of tone mapped images
title_full_unstemmed A nonlocal variational formulation for the improvement of tone mapped images
title_sort A nonlocal variational formulation for the improvement of tone mapped images
dc.creator.none.fl_str_mv Cyriac, Praveen
Batard, Thomas
Bertalmío, Marcelo
author Cyriac, Praveen
author_facet Cyriac, Praveen
Batard, Thomas
Bertalmío, Marcelo
author_role author
author2 Batard, Thomas
Bertalmío, Marcelo
author2_role author
author
dc.subject.none.fl_str_mv Tone mapping
Non local variational problem
Perceptual distance
Just noticeable difference
topic Tone mapping
Non local variational problem
Perceptual distance
Just noticeable difference
description Due to technical limitations, common display devices can only reproduce images having a low range of intensity values (dynamic range). As a consequence, the dynamic range of images encoding real world scenes, which is large, has to be compressed in order for them to be reproduced on a common display, and this technique is called tone mapping. Because there is no ground truth to compare with, evaluation of a tone mapped image has to be done by comparing with the original high dynamic range image. As standard metrics based on pixel-wise comparisons are not suitable for comparing images of different dynamic range, non local perceptual based metrics are commonly used. We propose a general method for optimizing tone mapped images with respect to a given non local metric. In particular, if the metric is perceptual, i.e. it involves perceptual concepts, we provide an adequate minimization strategy. Experiments on a particular perceptual metric tested with different tone mapped images provided by several tone mapping operators validate our approach.
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/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/26898
http://dx.doi.org/10.1137/140967209
url http://hdl.handle.net/10230/26898
http://dx.doi.org/10.1137/140967209
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv SIAM Journal on Imaging Sciences. 2014;7(4):2340-63
info:eu-repo/grantAgreement/EC/FP7/306337
info:eu-repo/grantAgreement/ES/3PN/TIN2011-15954-E
dc.rights.none.fl_str_mv © Society for Industrial and Applied Mathematics
info:eu-repo/semantics/openAccess
rights_invalid_str_mv © Society for Industrial and Applied Mathematics
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv SIAM (Society for Industrial and Applied Mathematics)
publisher.none.fl_str_mv SIAM (Society for Industrial and Applied Mathematics)
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
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869419326102044672
score 15,81155