{"id":"https://openalex.org/W4378009596","doi":"https://doi.org/10.2352/cic.2014.22.1.art00035","title":"Performance of various color difference models in challenging regions of CIELAB color space","display_name":"Performance of various color difference models in challenging regions of CIELAB color space","publication_year":2014,"publication_date":"2014-11-03","ids":{"openalex":"https://openalex.org/W4378009596","doi":"https://doi.org/10.2352/cic.2014.22.1.art00035"},"language":"en","primary_location":{"id":"doi:10.2352/cic.2014.22.1.art00035","is_oa":true,"landing_page_url":"http://dx.doi.org/10.2352/cic.2014.22.1.art00035","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/cic/22/1/art00035","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/art00035","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030707217","display_name":"Renzo Shamey","orcid":"https://orcid.org/0000-0003-2458-6336"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Renzo Shamey","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103677756","display_name":"Renbo Cao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Renbo Cao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038300236","display_name":"Weethima Sawatwarakul","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weethima Sawatwarakul","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5025044525","display_name":"Juan Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Juan Lin","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5030707217"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2196,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62967929,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"22","issue":"1","first_page":"200","last_page":"206"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9955999851226807,"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":0.9955999851226807,"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/T11144","display_name":"melanin and skin pigmentation","score":0.9718999862670898,"subfield":{"id":"https://openalex.org/subfields/1307","display_name":"Cell Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9544000029563904,"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/color-space","display_name":"Color space","score":0.786112904548645},{"id":"https://openalex.org/keywords/color-difference","display_name":"Color difference","score":0.7784291505813599},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.606494128704071},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6034510731697083},{"id":"https://openalex.org/keywords/gray","display_name":"Gray (unit)","score":0.5250982046127319},{"id":"https://openalex.org/keywords/significant-difference","display_name":"Significant difference","score":0.49340787529945374},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4216146171092987},{"id":"https://openalex.org/keywords/colorimetry","display_name":"Colorimetry","score":0.41894251108169556},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.41327089071273804},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.39537444710731506},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3703716993331909},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.36320850253105164},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15615814924240112},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.12555363774299622},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.08346778154373169}],"concepts":[{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.786112904548645},{"id":"https://openalex.org/C186991048","wikidata":"https://www.wikidata.org/wiki/Q1184883","display_name":"Color difference","level":3,"score":0.7784291505813599},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.606494128704071},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6034510731697083},{"id":"https://openalex.org/C166275286","wikidata":"https://www.wikidata.org/wiki/Q190095","display_name":"Gray (unit)","level":2,"score":0.5250982046127319},{"id":"https://openalex.org/C3018023364","wikidata":"https://www.wikidata.org/wiki/Q425265","display_name":"Significant difference","level":2,"score":0.49340787529945374},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4216146171092987},{"id":"https://openalex.org/C64299311","wikidata":"https://www.wikidata.org/wiki/Q374535","display_name":"Colorimetry","level":2,"score":0.41894251108169556},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.41327089071273804},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.39537444710731506},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3703716993331909},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.36320850253105164},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15615814924240112},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12555363774299622},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.08346778154373169},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/cic.2014.22.1.art00035","is_oa":true,"landing_page_url":"http://dx.doi.org/10.2352/cic.2014.22.1.art00035","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/cic/22/1/art00035","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.art00035","is_oa":true,"landing_page_url":"http://dx.doi.org/10.2352/cic.2014.22.1.art00035","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/cic/22/1/art00035","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":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4378009596.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1988273473","https://openalex.org/W2511081116","https://openalex.org/W4241886099","https://openalex.org/W4376527648","https://openalex.org/W1495431121","https://openalex.org/W2109245250","https://openalex.org/W1984138187","https://openalex.org/W1992936402","https://openalex.org/W2086839708","https://openalex.org/W1969237853"],"abstract_inverted_index":{"To":[0],"examine":[1],"the":[2,20,31,72,87,93,96,114,165,171,176,187,191,203,207,214,222,225,228,234],"performance":[3,131,189,212,223],"of":[4,8,22,28,48,81,92,125,132,135,221,224],"a":[5,23,45,55,59,123],"select":[6],"group":[7],"advanced":[9],"color":[10,15,38,102,136,146,155,237,248],"difference":[11,16,89,137],"equations":[12,138,198,257],"against":[13,95,164,227],"visual":[14,25,88,166],"data,":[17],"we":[18],"report":[19],"development":[21],"combined":[24,177,229],"dataset":[26,57,79,167,178,193],"consisting":[27,139],"samples":[29,51,94],"in":[30,118,194,206,213],"CIE":[32],"low":[33],"and":[34,42,54,86,109,112,122,148,162,173],"high":[35],"chroma":[36],"blue":[37],"centers":[39],"(NCSU-B1":[40],"[1]":[41],"NCSU-B2":[43],"[2]),":[44],"recent":[46],"set":[47],"near":[49,215],"black":[50],"(NCSU-BK)":[52],"[3]":[53],"new":[56,77],"around":[58],"gray":[60,73,78,116,217],"center":[61],"(L*":[62],"=50.56,":[63],"a*":[64],"=-0.11,":[65],"b*":[66],"=0.03),":[67],"hereafter":[68],"called":[69],"NCSU-Gr,":[70,172],"using":[71,113],"scale":[74],"method.":[75],"The":[76,130,180],"consisted":[80],"21":[82],"matte":[83],"painted":[84],"samples,":[85],"between":[90],"each":[91],"standard":[97],"was":[98,168],"assessed":[99],"by":[100],"35":[101],"normal":[103],"observers":[104],"under":[105],"highly":[106],"controlled":[107],"viewing":[108],"illumination":[110],"conditions":[111],"AATCC":[115],"scales,":[117],"three":[119],"separate":[120],"sittings,":[121],"total":[124],"2205":[126],"assessments":[127],"were":[128],"obtained.":[129],"two":[133],"groups":[134],"of:":[140],"1-":[141],"those":[142,150],"based":[143,151,245],"on":[144,152,246],"CIELAB":[145,247],"space":[147],"2-":[149],"more":[153,235],"uniform":[154,236],"spaces/appearance":[156],"model":[157],"such":[158],"as":[159],"DIN,":[160],"CIECAM02":[161],"OSA,":[163],"examined":[169],"for":[170,175,190],"also":[174],"(NCSU-COM).":[179],"results":[181,242],"show":[182],"that":[183,202,233],"CIEDE2000":[184,208],"(2:1:1)":[185],"exhibits":[186],"best":[188],"NCSU-Gr":[192],"comparison":[195],"to":[196],"other":[197,256],"examined.":[199],"This":[200],"confirms":[201],"G":[204],"term":[205],"significantly":[209,253],"improves":[210],"its":[211],"neutral":[216],"region.":[218],"An":[219],"examination":[220],"models":[226,239,244],"dataset,":[230],"however,":[231],"shows":[232],"space/appearance":[238],"produce":[240],"better":[241,254],"than":[243,255],"space,":[249],"with":[250],"CAM02-SCD":[251],"performing":[252],"except":[258],"CAM02-UCS.":[259]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-03-11T06:11:40.159057","created_date":"2025-10-10T00:00:00"}