dc.creatorJUAN CARLOS VALDIVIEZO NAVARRO
dc.creatorGONZALO JORGE URCID SERRANO
dc.date2013-02-01
dc.date.accessioned2023-07-25T16:25:11Z
dc.date.available2023-07-25T16:25:11Z
dc.identifierhttp://inaoe.repositorioinstitucional.mx/jspui/handle/1009/2215
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7807395
dc.descriptionThis paper introduces a lattice algebra procedure that can be used for the multispectral analysis of historical documents and artworks. Assuming the presence of linearly mixed spectral pixels captured in a multispectral scene, the proposed method computes the scaled min- and max-lattice associative memories to determine the purest pixels that best represent the spectra of single pigments. The estimation of fractional proportions of pure spectra at each image pixel is used to build pigment abundance maps that can be used for subsequent restoration of damaged parts. Application examples include multispectral images acquired from the Archimedes Palimpsest and a Mexican pre-Hispanic codex. © 2013 OpticalSociety of America
dc.formatapplication/pdf
dc.languageeng
dc.publisherAPPLIED OPTICS
dc.relationcitation:Valdiviezo-N., Juan C. and Urcid, Gonzalo., (2013). Lattice algebra approach to multispectral analysis of ancient documents, Applied Optics, Vol. 52(4):674-682
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.subjectinfo:eu-repo/classification/Inspec/Lattice algebra
dc.subjectinfo:eu-repo/classification/Inspec/Multispectral analysis
dc.subjectinfo:eu-repo/classification/Inspec/Multispectral
dc.subjectinfo:eu-repo/classification/Inspec/Historical documents
dc.subjectinfo:eu-repo/classification/cti/1
dc.subjectinfo:eu-repo/classification/cti/22
dc.subjectinfo:eu-repo/classification/cti/2209
dc.subjectinfo:eu-repo/classification/cti/2209
dc.titleLattice algebra approach to multispectral analysis of ancient documents
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.audiencestudents
dc.audienceresearchers
dc.audiencegeneralPublic


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