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Evaluating conventional and advanced visible image enhancement solutions to produce digital tracings at el Carche rock art shelter

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Evaluating conventional and advanced visible image enhancement solutions to produce digital tracings at el Carche rock art shelter

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dc.contributor.author Domingo Sanz, Inés es_ES
dc.contributor.author Carrión Ruiz, Berta es_ES
dc.contributor.author Blanco, Silvia es_ES
dc.contributor.author Lerma García, José Luis es_ES
dc.date.accessioned 2016-11-11T12:33:13Z
dc.date.available 2016-11-11T12:33:13Z
dc.date.issued 2015
dc.identifier.issn 2212-0548
dc.identifier.uri http://hdl.handle.net/10251/73849
dc.description.abstract [EN] Advances in rock art recording techniques through non-destructive methods are a priority in rock art research. Developments on computer science, digital photography and more specifically on digital image enhancement have revolutionized the way rock art motifs are recorded and documented today. Conventional software for digital image processing is widely used to produce digital tracings, with reasonable results so far. But this manual process is still time consuming, especially when motifs are either faded, deteriorated or part of complex superimpositions. This paper explores the potential of two advanced digital image enhancement decorrelation techniques, principal components analysis (PCA) and decorrelation stretch (DS) to facilitate and accelerate motif recognition on visible digital images, as a first step in the rock art recording process. Statistical analysis revealed that the performance of PCA is slightly better (5%) than DS, when compared to the results of conventional image enhancement solutions es_ES
dc.description.sponsorship This paper was written within the context of the HAR2011-25445 project, directed by ICREA Research Professor Inés Domingo and funded by MINECO (Ministry of Economy and Competitiveness) and the 2009 SGR 1145 Grup de Recerca Consolidat SERP.
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Digital applications in archaeology and cultural heritage es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Rock art es_ES
dc.subject Digital recording es_ES
dc.subject Computer image enhancement es_ES
dc.subject Principal components analysis (PCA) es_ES
dc.subject Decorrelation stretch (DS) es_ES
dc.subject.classification INGENIERIA CARTOGRAFICA, GEODESIA Y FOTOGRAMETRIA es_ES
dc.title Evaluating conventional and advanced visible image enhancement solutions to produce digital tracings at el Carche rock art shelter es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.daach.2015.01.001
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//HAR2011-25440/ES/¿ARTE RUPESTRE DE CONTACTO? APORTACIONES DE UN ENFOQUE ETNOARQUEOLOGICO AL DEBATE SOBRE LA AUTORIA DEL ARTE RUPESTRE POSTPALEOLITICO DEL ARCO MEDITERRANEO PENINSULAR es_ES
dc.relation.projectID info:eu-repo/grantAgreement/Generalitat de Catalunya//2009SGR-1145/ es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería Geodésica, Cartográfica y Topográfica - Escola Tècnica Superior d'Enginyeria Geodèsica, Cartogràfica i Topogràfica es_ES
dc.description.bibliographicCitation Domingo Sanz, I.; Carrión Ruiz, B.; Blanco, S.; Lerma García, JL. (2015). Evaluating conventional and advanced visible image enhancement solutions to produce digital tracings at el Carche rock art shelter. Digital applications in archaeology and cultural heritage. 2(2):79-88. https://doi.org/10.1016/j.daach.2015.01.001 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1016/j.daach.2015.01.001 es_ES
dc.description.upvformatpinicio 79 es_ES
dc.description.upvformatpfin 88 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 2 es_ES
dc.description.issue 2 es_ES
dc.relation.senia 300153 es_ES
dc.contributor.funder Ministerio de Economía y Competitividad
dc.contributor.funder Generalitat de Catalunya
dc.contributor.funder Ministerio de Ciencia e Innovación


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