{"id":"https://openalex.org/W4377986015","doi":"https://doi.org/10.2352/cic.2014.22.1.art00034","title":"Colour separation of <italic>n</italic>-colour printing process using inverse printer models","display_name":"Colour separation of <italic>n</italic>-colour printing process using inverse printer models","publication_year":2014,"publication_date":"2014-11-03","ids":{"openalex":"https://openalex.org/W4377986015","doi":"https://doi.org/10.2352/cic.2014.22.1.art00034"},"language":"en","primary_location":{"id":"doi:10.2352/cic.2014.22.1.art00034","is_oa":true,"landing_page_url":"http://dx.doi.org/10.2352/cic.2014.22.1.art00034","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/cic/22/1/art00034","source":{"id":"https://openalex.org/S4210193667","display_name":"Color and Imaging Conference","issn_l":"2166-9635","issn":["2166-9635","2169-2629"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Color and Imaging Conference","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/cic/22/1/art00034","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037883536","display_name":"Kiran Deshpande","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kiran Deshpande","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010560619","display_name":"Phil Green","orcid":"https://orcid.org/0000-0001-9103-7287"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Phil Green","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5000719304","display_name":"Michael Pointer","orcid":"https://orcid.org/0000-0003-0063-1753"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michael R Pointer","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.307091,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":"1","first_page":"194","last_page":"199"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T12496","display_name":"Color perception and design","score":0.9789999723434448,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9463000297546387,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lookup-table","display_name":"Lookup table","score":0.8111419677734375},{"id":"https://openalex.org/keywords/gamut","display_name":"Gamut","score":0.7843838930130005},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.6548779010772705},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5084163546562195},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.49304601550102234},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4544052481651306},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.453930526971817},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3936479091644287},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34540408849716187},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32495611906051636},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.09589338302612305}],"concepts":[{"id":"https://openalex.org/C134835016","wikidata":"https://www.wikidata.org/wiki/Q690265","display_name":"Lookup table","level":2,"score":0.8111419677734375},{"id":"https://openalex.org/C2780061478","wikidata":"https://www.wikidata.org/wiki/Q375857","display_name":"Gamut","level":2,"score":0.7843838930130005},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.6548779010772705},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5084163546562195},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.49304601550102234},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4544052481651306},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.453930526971817},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3936479091644287},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34540408849716187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32495611906051636},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.09589338302612305},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/cic.2014.22.1.art00034","is_oa":true,"landing_page_url":"http://dx.doi.org/10.2352/cic.2014.22.1.art00034","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/cic/22/1/art00034","source":{"id":"https://openalex.org/S4210193667","display_name":"Color and Imaging Conference","issn_l":"2166-9635","issn":["2166-9635","2169-2629"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Color and Imaging Conference","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.2352/cic.2014.22.1.art00034","is_oa":true,"landing_page_url":"http://dx.doi.org/10.2352/cic.2014.22.1.art00034","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/cic/22/1/art00034","source":{"id":"https://openalex.org/S4210193667","display_name":"Color and Imaging Conference","issn_l":"2166-9635","issn":["2166-9635","2169-2629"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Color and Imaging Conference","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4377986015.pdf","grobid_xml":"https://content.openalex.org/works/W4377986015.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1975324169","https://openalex.org/W2084765988","https://openalex.org/W4312764041","https://openalex.org/W2750875950","https://openalex.org/W1978099104","https://openalex.org/W4387817633","https://openalex.org/W3131929150","https://openalex.org/W44299752","https://openalex.org/W2396354641","https://openalex.org/W2983465608"],"abstract_inverted_index":{"Although":[0],"the":[1,6,24,30,41,59,76,81,85,94,105,119,132],"n-colour":[2,34],"printing":[3,35,134,138],"process":[4,135],"increases":[5],"colour":[7,15,31],"gamut,":[8],"it":[9],"presents":[10],"a":[11],"challenge":[12],"in":[13,136],"generating":[14],"separations.":[16],"This":[17],"paper":[18],"evaluates":[19],"different":[20],"methods":[21,46],"of":[22,56,93],"implementing":[23],"inverse":[25,60],"printer":[26,61],"model":[27,86,113],"to":[28,65,72,126,139],"obtain":[29],"separation":[32],"for":[33,91],"processes.":[36],"The":[37,49,68,96,109],"constrained":[38,106],"optimisation":[39,107],"and":[40,58,84],"look-up":[42],"table":[43,98,112],"based":[44,99],"inversion":[45,100],"were":[47,63,70],"evaluated.":[48],"colorant":[50],"space":[51],"was":[52,101],"divided":[53],"into":[54],"sectors":[55],"4-inks":[57],"models":[62],"applied":[64],"each":[66],"sector.":[67],"results":[69],"found":[71],"be":[73,124],"adequate":[74],"with":[75,131],"mean":[77],"CIEDE2000":[78],"values":[79],"between":[80],"original":[82],"colours":[83,88],"predicted":[87],"below":[89],"1.5":[90],"most":[92],"models.":[95],"lookup":[97,111],"computationally":[102],"faster":[103],"than":[104],"approach.":[108],"9-level":[110],"gave":[114],"accurate":[115],"prediction":[116],"without":[117],"costing":[118],"processing":[120],"time.":[121],"It":[122],"can":[123],"used":[125],"replace":[127],"spot":[128],"coloured":[129],"inks":[130],"7-colour":[133],"packaging":[137],"achieve":[140],"significant":[141],"cost":[142],"savings.":[143]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}