{"id":"https://openalex.org/W2971379556","doi":"https://doi.org/10.1109/tip.2019.2937067","title":"Color Control Functions for Multiprimary Displays\u2014I: Robustness Analysis and Optimization Formulations","display_name":"Color Control Functions for Multiprimary Displays\u2014I: Robustness Analysis and Optimization Formulations","publication_year":2019,"publication_date":"2019-09-06","ids":{"openalex":"https://openalex.org/W2971379556","doi":"https://doi.org/10.1109/tip.2019.2937067","mag":"2971379556","pmid":"https://pubmed.ncbi.nlm.nih.gov/31502969"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2019.2937067","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2937067","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102817930","display_name":"Carlos Eduardo Rodr\u00edguez-Pardo","orcid":"https://orcid.org/0000-0001-8212-0820"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Carlos Eduardo Rodriguez-Pardo","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Rochester, Rochester, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Rochester, Rochester, USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100705959","display_name":"Gaurav Sharma","orcid":"https://orcid.org/0000-0001-9735-9519"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gaurav Sharma","raw_affiliation_strings":["Department of Biostatistics and Computational Biology, University of Rochester, Rochester, USA","Department of Computer Science, University of Rochester, Rochester, USA","Department of Electrical and Computer Engineering, University of Rochester, Rochester, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biostatistics and Computational Biology, University of Rochester, Rochester, USA","institution_ids":["https://openalex.org/I5388228"]},{"raw_affiliation_string":"Department of Computer Science, University of Rochester, Rochester, USA","institution_ids":["https://openalex.org/I5388228"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Rochester, Rochester, USA","institution_ids":["https://openalex.org/I5388228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102817930"],"corresponding_institution_ids":["https://openalex.org/I5388228"],"apc_list":null,"apc_paid":null,"fwci":1.3577,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.82216368,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"29","issue":null,"first_page":"1152","last_page":"1163"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9940000176429749,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/gamut","display_name":"Gamut","score":0.7175129652023315},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.6503926515579224},{"id":"https://openalex.org/keywords/linearity","display_name":"Linearity","score":0.5628613233566284},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5589526891708374},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5580558180809021},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4943060874938965},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4177861511707306},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.358866810798645},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09623214602470398}],"concepts":[{"id":"https://openalex.org/C2780061478","wikidata":"https://www.wikidata.org/wiki/Q375857","display_name":"Gamut","level":2,"score":0.7175129652023315},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.6503926515579224},{"id":"https://openalex.org/C77170095","wikidata":"https://www.wikidata.org/wiki/Q1753188","display_name":"Linearity","level":2,"score":0.5628613233566284},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5589526891708374},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5580558180809021},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4943060874938965},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4177861511707306},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.358866810798645},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09623214602470398},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2019.2937067","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2937067","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:31502969","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31502969","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W10485097","https://openalex.org/W114270251","https://openalex.org/W198297343","https://openalex.org/W1483445202","https://openalex.org/W1489630993","https://openalex.org/W1526351017","https://openalex.org/W1565546618","https://openalex.org/W1622427076","https://openalex.org/W1980396705","https://openalex.org/W1990510672","https://openalex.org/W1990901098","https://openalex.org/W1992540108","https://openalex.org/W2000908802","https://openalex.org/W2017717984","https://openalex.org/W2026727890","https://openalex.org/W2042836646","https://openalex.org/W2066726513","https://openalex.org/W2087401004","https://openalex.org/W2089527773","https://openalex.org/W2107536015","https://openalex.org/W2109689762","https://openalex.org/W2126028192","https://openalex.org/W2134513529","https://openalex.org/W2151642805","https://openalex.org/W2161782694","https://openalex.org/W2163619685","https://openalex.org/W2164437867","https://openalex.org/W2171678033","https://openalex.org/W2172187867","https://openalex.org/W2578424623","https://openalex.org/W2622193995","https://openalex.org/W2762018443","https://openalex.org/W2798909945","https://openalex.org/W2970492000","https://openalex.org/W3140476490","https://openalex.org/W3161826903","https://openalex.org/W4235915798","https://openalex.org/W4252112222","https://openalex.org/W4377986048","https://openalex.org/W6604602984","https://openalex.org/W6629306003","https://openalex.org/W6731942269","https://openalex.org/W7047277155"],"related_works":["https://openalex.org/W3170402548","https://openalex.org/W2044382768","https://openalex.org/W2093252452","https://openalex.org/W2389287339","https://openalex.org/W2354474683","https://openalex.org/W2396354641","https://openalex.org/W2064781307","https://openalex.org/W2763031256","https://openalex.org/W3112094387","https://openalex.org/W4236064105"],"abstract_inverted_index":{"Color":[0],"management":[1],"for":[2,23,39,100,105,130,188,228,274,279,294],"a":[3,8,14,41,98,114],"multiprimary":[4,106,231],"display":[5],"requires,":[6],"as":[7],"fundamental":[9],"step,":[10],"the":[11,28,44,47,66,70,73,122,144,161,174,189,201,213,216,233,241,247,256,261,280],"determination":[12],"of":[13,36,46,53,69,75,103,117,143,160,176,215,230,243],"color":[15,26,42,119,238],"control":[16,21,37],"function":[17],"(CCF)":[18],"that":[19,141,170,193,203],"specifies":[20],"values":[22,38],"reproducing":[24,40],"each":[25],"in":[27,43,65,85,93,146,240],"display's":[29],"gamut.":[30],"Multiprimary":[31],"displays":[32,107],"offer":[33],"alternative":[34,51,58,81,282,292],"choices":[35,52],"interior":[45],"gamut":[48],"and":[49,72,110,127,182,222,246,288,298],"accordingly":[50],"CCFs.":[54,133],"Under":[55],"ideal":[56],"conditions,":[57],"CCFs":[59,82,89,104,278,293],"render":[60],"colors":[61],"identically.":[62],"However,":[63],"deviations":[64],"spectral":[67],"distributions":[68],"primaries":[71],"diversity":[74],"cone":[76],"sensitivities":[77],"among":[78],"observers":[79],"impact":[80],"differently,":[83],"and,":[84],"particular,":[86],"make":[87],"some":[88],"prone":[90],"to":[91,153,211,236],"artifacts":[92],"rendered":[94],"images.":[95],"We":[96],"develop":[97,223],"framework":[99],"analyzing":[101],"robustness":[102],"against":[108],"primary":[109,300],"observer":[111],"variations,":[112,154],"incorporating":[113,260],"common":[115],"model":[116],"human":[118],"perception.":[120],"Using":[121],"framework,":[123],"we":[124,220],"propose":[125],"analytical":[126,136,186],"numerical":[128],"approaches":[129],"determining":[131],"robust":[132],"First,":[134],"via":[135],"development,":[137],"we:":[138],"(a)":[139],"demonstrate":[140],"linearity":[142,156,177],"CCF":[145,169,192],"tristimulus":[147],"space":[148],"endows":[149],"it":[150,195,204],"with":[151,252],"resilience":[152],"particularly,":[155],"can":[157],"ensure":[158],"invariance":[159,254],"gray":[162,257],"axis,":[163,258],"(b)":[164],"construct":[165],"an":[166,185,271],"axially":[167,190,217,262],"linear":[168,191,218,263],"is":[171,196],"defined":[172],"by":[173,259],"property":[175],"over":[178],"constant":[179],"chromaticity":[180],"loci,":[181],"(c)":[183],"obtain":[184],"form":[187],"demonstrates":[194],"continuous":[197,208],"but":[198],"suffers":[199],"from":[200],"limitation":[202,214],"does":[205],"not":[206],"have":[207],"derivatives.":[209],"Second,":[210],"overcome":[212],"CCF,":[219],"motivate":[221],"two":[224,281],"variational":[225,283],"objective":[226,251,284],"functions":[227,285],"optimization":[229],"CCFs,":[232],"first":[234],"aims":[235],"preserve":[237],"transitions":[239],"presence":[242],"primary/observer":[244],"variations":[245],"second":[248],"combines":[249],"this":[250],"desirable":[253],"along":[255],"CCF.":[264],"A":[265],"companion":[266],"Part":[267],"II":[268],"paper,":[269],"presents":[270,289],"algorithmic":[272],"approach":[273],"numerically":[275],"computing":[276],"optimal":[277],"proposed":[286],"here":[287],"results":[290],"comparing":[291],"several":[295],"different":[296],"4,5,":[297],"6":[299],"designs.":[301]},"counts_by_year":[{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}