{"id":"https://openalex.org/W2786680115","doi":"https://doi.org/10.1109/icip.2018.8451768","title":"Hyper-Hue and EMAP on Hyperspectral Images for Supervised Layer Decomposition of Old Master Drawings","display_name":"Hyper-Hue and EMAP on Hyperspectral Images for Supervised Layer Decomposition of Old Master Drawings","publication_year":2018,"publication_date":"2018-09-07","ids":{"openalex":"https://openalex.org/W2786680115","doi":"https://doi.org/10.1109/icip.2018.8451768","mag":"2786680115"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2018.8451768","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451768","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://arxiv.org/pdf/1801.09472","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022161070","display_name":"Amirabbas Davari","orcid":"https://orcid.org/0000-0001-6672-283X"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Amirabbas Davari","raw_affiliation_strings":["Department of Computer Science, Friedrich-Alexander University, Erlangen, Germany","Department of Computer Science, Friedrich-Alexander University, Erlangen Nuernberg, Pattern Recognition Lab, Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Friedrich-Alexander University, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]},{"raw_affiliation_string":"Department of Computer Science, Friedrich-Alexander University, Erlangen Nuernberg, Pattern Recognition Lab, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045433581","display_name":"Nikolaos Sakaltras","orcid":null},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nikolaos Sakaltras","raw_affiliation_strings":["Department of Computer Science, Friedrich-Alexander University, Erlangen, Germany","Department of Computer Science, Friedrich-Alexander University, Erlangen Nuernberg, Pattern Recognition Lab, Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Friedrich-Alexander University, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]},{"raw_affiliation_string":"Department of Computer Science, Friedrich-Alexander University, Erlangen Nuernberg, Pattern Recognition Lab, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112345624","display_name":"Armin Haeberle","orcid":null},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Armin Haeberle","raw_affiliation_strings":["Department of Computer Science, Friedrich-Alexander University, Erlangen, Germany","Department of Computer Science, Friedrich-Alexander University, Erlangen Nuernberg, Pattern Recognition Lab, Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Friedrich-Alexander University, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]},{"raw_affiliation_string":"Department of Computer Science, Friedrich-Alexander University, Erlangen Nuernberg, Pattern Recognition Lab, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010990212","display_name":"Sulaiman Vesal","orcid":"https://orcid.org/0000-0001-6156-9338"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sulaiman Vesal","raw_affiliation_strings":["Department of Computer Science, Friedrich-Alexander University, Erlangen, Germany","Department of Computer Science, Friedrich-Alexander University, Erlangen Nuernberg, Pattern Recognition Lab, Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Friedrich-Alexander University, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]},{"raw_affiliation_string":"Department of Computer Science, Friedrich-Alexander University, Erlangen Nuernberg, Pattern Recognition Lab, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087093169","display_name":"Vincent Christlein","orcid":"https://orcid.org/0000-0003-0455-3799"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Vincent Christlein","raw_affiliation_strings":["Department of Computer Science, Friedrich-Alexander University, Erlangen, Germany","Department of Computer Science, Friedrich-Alexander University, Erlangen Nuernberg, Pattern Recognition Lab, Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Friedrich-Alexander University, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]},{"raw_affiliation_string":"Department of Computer Science, Friedrich-Alexander University, Erlangen Nuernberg, Pattern Recognition Lab, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032499810","display_name":"Andreas Maier","orcid":"https://orcid.org/0000-0002-5021-3341"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Maier","raw_affiliation_strings":["Department of Computer Science, Friedrich-Alexander University, Erlangen, Germany","Department of Computer Science, Friedrich-Alexander University, Erlangen Nuernberg, Pattern Recognition Lab, Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Friedrich-Alexander University, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]},{"raw_affiliation_string":"Department of Computer Science, Friedrich-Alexander University, Erlangen Nuernberg, Pattern Recognition Lab, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049250339","display_name":"Christian Rie\u00df","orcid":"https://orcid.org/0000-0002-5556-5338"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Riess","raw_affiliation_strings":["Department of Computer Science, Friedrich-Alexander University, Erlangen, Germany","Department of Computer Science, Friedrich-Alexander University, Erlangen Nuernberg, Pattern Recognition Lab, Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Friedrich-Alexander University, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]},{"raw_affiliation_string":"Department of Computer Science, Friedrich-Alexander University, Erlangen Nuernberg, Pattern Recognition Lab, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5022161070"],"corresponding_institution_ids":["https://openalex.org/I181369854"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01795047,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":null,"first_page":"3683","last_page":"3687"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11212","display_name":"Cultural Heritage Materials Analysis","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1204","display_name":"Archeology"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11212","display_name":"Cultural Heritage Materials Analysis","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1204","display_name":"Archeology"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9797999858856201,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8307415246963501},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.7685391306877136},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.707464873790741},{"id":"https://openalex.org/keywords/hue","display_name":"Hue","score":0.7005569934844971},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6760796308517456},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6161730885505676},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.5783944129943848},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.539609432220459},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5308742523193359},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4387558400630951},{"id":"https://openalex.org/keywords/stacking","display_name":"Stacking","score":0.4335933327674866},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.06412309408187866}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8307415246963501},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7685391306877136},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.707464873790741},{"id":"https://openalex.org/C126537357","wikidata":"https://www.wikidata.org/wiki/Q372948","display_name":"Hue","level":2,"score":0.7005569934844971},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6760796308517456},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6161730885505676},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5783944129943848},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.539609432220459},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5308742523193359},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4387558400630951},{"id":"https://openalex.org/C33347731","wikidata":"https://www.wikidata.org/wiki/Q285210","display_name":"Stacking","level":2,"score":0.4335933327674866},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.06412309408187866},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C46141821","wikidata":"https://www.wikidata.org/wiki/Q209402","display_name":"Nuclear magnetic resonance","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/icip.2018.8451768","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451768","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:aleph.bib-bvb.de:BVB01-030336971","is_oa":true,"landing_page_url":null,"pdf_url":"https://arxiv.org/pdf/1801.09472","source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"software, multimedia"},{"id":"pmh:oai:arXiv.org:1801.09472","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1801.09472","pdf_url":"https://arxiv.org/pdf/1801.09472","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2786680115","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1801.09472","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1801.09472","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1801.09472","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:aleph.bib-bvb.de:BVB01-030336971","is_oa":true,"landing_page_url":null,"pdf_url":"https://arxiv.org/pdf/1801.09472","source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"software, multimedia"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2786680115.pdf","grobid_xml":"https://content.openalex.org/works/W2786680115.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W404572848","https://openalex.org/W1975610128","https://openalex.org/W1987309482","https://openalex.org/W2005672614","https://openalex.org/W2054564876","https://openalex.org/W2061280624","https://openalex.org/W2097337867","https://openalex.org/W2126511344","https://openalex.org/W2127199143","https://openalex.org/W2169828920","https://openalex.org/W2591927243","https://openalex.org/W2600154937","https://openalex.org/W2911964244","https://openalex.org/W6746119261"],"related_works":["https://openalex.org/W1967866839","https://openalex.org/W2012537373","https://openalex.org/W3004406681","https://openalex.org/W1698087873","https://openalex.org/W2925517536","https://openalex.org/W3197911267","https://openalex.org/W2511753505","https://openalex.org/W2750980686","https://openalex.org/W3116482760","https://openalex.org/W2164244093","https://openalex.org/W2345042651","https://openalex.org/W2777686015","https://openalex.org/W2765595784","https://openalex.org/W2397188987","https://openalex.org/W3011998520","https://openalex.org/W2562126656","https://openalex.org/W2741415948","https://openalex.org/W2272052825","https://openalex.org/W2286124530","https://openalex.org/W2320124428"],"abstract_inverted_index":{"Old":[0],"master":[1],"drawings":[2],"were":[3],"mostly":[4],"created":[5],"step":[6,8,130],"by":[7],"in":[9,97],"several":[10],"layers":[11,23,47],"using":[12],"different":[13],"materials.":[14],"To":[15],"art":[16],"historians":[17],"and":[18,32,42,50,104,121],"restorers,":[19],"examination":[20],"of":[21,143],"these":[22,46],"brings":[24],"various":[25],"insights":[26],"into":[27],"the":[28,38,57,141,144],"artistic":[29],"work":[30],"process":[31],"helps":[33],"to":[34,54,85,93],"answer":[35],"questions":[36],"about":[37],"object,":[39],"its":[40,43],"attribution":[41],"authenticity.":[44],"However,":[45],"typically":[48],"overlap":[49],"are":[51],"oftentimes":[52],"difficult":[53],"differentiate":[55],"with":[56,137],"unaided":[58],"eye.":[59],"For":[60],"example,":[61],"a":[62],"common":[63],"layer":[64,116],"combination":[65],"is":[66,126],"red":[67],"chalk":[68],"under":[69],"ink.":[70],"In":[71,89],"this":[72],"work,":[73],"we":[74,91],"propose":[75,92],"an":[76,127],"image":[77],"processing":[78],"pipeline":[79],"that":[80,111,122,132],"operates":[81],"on":[82],"hyperspectral":[83,98,112],"images":[84,113],"separate":[86],"such":[87],"layers.":[88],"particular,":[90],"use":[94],"two":[95],"descriptors":[96],"historical":[99],"document":[100],"analysis,":[101],"namely":[102],"hyper-hue":[103],"extended":[105],"multi-attribute":[106],"profile":[107],"(EMAP).":[108],"We":[109],"show":[110],"enable":[114],"better":[115],"separation":[117],"than":[118],"RGB":[119],"images,":[120],"spectral":[123],"focus":[124],"stacking":[125],"important":[128],"preprocessing":[129],"towards":[131],"goal.":[133],"Our":[134],"comparative":[135],"results":[136],"other":[138],"features":[139],"underline":[140],"efficacy":[142],"three":[145],"proposed":[146],"improvements.":[147]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}