{"id":"https://openalex.org/W92681280","doi":"https://doi.org/10.2352/cic.1999.7.1.art00055","title":"Gamut Mapping Method Adaptive to Hue-divided Color Distributions","display_name":"Gamut Mapping Method Adaptive to Hue-divided Color Distributions","publication_year":1999,"publication_date":"1999-01-01","ids":{"openalex":"https://openalex.org/W92681280","doi":"https://doi.org/10.2352/cic.1999.7.1.art00055","mag":"92681280"},"language":"en","primary_location":{"id":"doi:10.2352/cic.1999.7.1.art00055","is_oa":true,"landing_page_url":"http://dx.doi.org/10.2352/cic.1999.7.1.art00055","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/cic/7/1/art00055","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/7/1/art00055","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085560804","display_name":"Hung\u2010Shing Chen","orcid":"https://orcid.org/0000-0002-3135-6494"},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Chen Hung-Shing","raw_affiliation_strings":["Graduate School of Science and Technology , Chiba University Chiba , Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology , Chiba University Chiba , Japan","institution_ids":["https://openalex.org/I159385669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087639514","display_name":"Minoru Omamiuda","orcid":null},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Minoru Omamiuda","raw_affiliation_strings":["Graduate School of Science and Technology , Chiba University Chiba , Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology , Chiba University Chiba , Japan","institution_ids":["https://openalex.org/I159385669"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032319122","display_name":"Hiroaki Kotera","orcid":null},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroaki Kotera","raw_affiliation_strings":["Graduate School of Science and Technology , Chiba University Chiba , Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology , Chiba University Chiba , Japan","institution_ids":["https://openalex.org/I159385669"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4729,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.5763552,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":"1","first_page":"289","last_page":"294"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9850000143051147,"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":0.9850000143051147,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9508000016212463,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/gamut","display_name":"Gamut","score":0.8416885733604431},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7515297532081604},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7411313056945801},{"id":"https://openalex.org/keywords/hue","display_name":"Hue","score":0.5836877822875977},{"id":"https://openalex.org/keywords/clipping","display_name":"Clipping (morphology)","score":0.5771658420562744},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5553325414657593},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5263299345970154},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.502326250076294},{"id":"https://openalex.org/keywords/lightness","display_name":"Lightness","score":0.43799111247062683},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.42334043979644775},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3872525990009308},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3558937907218933},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3198564052581787}],"concepts":[{"id":"https://openalex.org/C2780061478","wikidata":"https://www.wikidata.org/wiki/Q375857","display_name":"Gamut","level":2,"score":0.8416885733604431},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7515297532081604},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7411313056945801},{"id":"https://openalex.org/C126537357","wikidata":"https://www.wikidata.org/wiki/Q372948","display_name":"Hue","level":2,"score":0.5836877822875977},{"id":"https://openalex.org/C2776848632","wikidata":"https://www.wikidata.org/wiki/Q853463","display_name":"Clipping (morphology)","level":2,"score":0.5771658420562744},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5553325414657593},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5263299345970154},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.502326250076294},{"id":"https://openalex.org/C193601281","wikidata":"https://www.wikidata.org/wiki/Q19426","display_name":"Lightness","level":2,"score":0.43799111247062683},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.42334043979644775},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3872525990009308},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3558937907218933},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3198564052581787},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/cic.1999.7.1.art00055","is_oa":true,"landing_page_url":"http://dx.doi.org/10.2352/cic.1999.7.1.art00055","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/cic/7/1/art00055","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.1999.7.1.art00055","is_oa":true,"landing_page_url":"http://dx.doi.org/10.2352/cic.1999.7.1.art00055","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/cic/7/1/art00055","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/W92681280.pdf","grobid_xml":"https://content.openalex.org/works/W92681280.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1978587009","https://openalex.org/W2049029642","https://openalex.org/W1990458004","https://openalex.org/W2377420975","https://openalex.org/W2050680582","https://openalex.org/W2139907870","https://openalex.org/W4377822865","https://openalex.org/W2897960085","https://openalex.org/W106336201","https://openalex.org/W1948574732"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"Image-to-Device":[3,64,106],"Gamma-Compression":[4,65,107],"Gamut":[5],"Mapping":[6],"Algorithm":[7],"based":[8,115],"on":[9,35,83,116],"the":[10,27,43,73,79,86,92,96,101,112,117,121],"concept":[11],"of":[12,49],"image":[13,16,22,32,87,93,123],"segmentation.":[14],"Two":[15],"segmentation":[17,88],"methods,":[18,59,89],"hue-leaf":[19],"division":[20],"and":[21,66,95],"clustering,":[23],"are":[24,38,70],"combined":[25],"with":[26],"proposed":[28],"mapping":[29,58],"algorithms.":[30],"The":[31],"color":[33],"distributions":[34],"Chroma-Lightness":[36],"planes":[37],"adjusted":[39],"to":[40,42,72,111],"fit":[41],"output":[44],"device":[45],"gamut":[46,97],"in":[47],"terms":[48],"image's":[50,54,102],"gradation":[51,103],"preferred":[52],"or":[53],"chroma":[55],"preferred.Three":[56],"typical":[57],"(1)":[60],"Device-to-Device":[61,118],"Gamma-Compression,":[62],"(2)":[63],"(3)":[67],"Clipping":[68,126],"Compression,":[69],"applied":[71],"segmented":[74],"images.The":[75],"psychophysical":[76],"experiment":[77],"shows":[78],"evaluation":[80],"results":[81],"depend":[82],"not":[84],"only":[85],"but":[90],"also":[91],"contents":[94],"functions.":[98],"And,":[99],"if":[100],"is":[104,109,124],"preferred,":[105,125],"GMA":[108],"superior":[110],"conventional":[113],"methods":[114],"concept.":[119],"If":[120],"high-chroma":[122],"Compression":[127],"will":[128],"be":[129],"a":[130],"better":[131],"choice":[132],"for":[133],"use.":[134]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}