{"id":"https://openalex.org/W194304367","doi":"https://doi.org/10.2352/cic.2001.9.1.art00011","title":"Compact Description of 3D Image Gamut by Singular Value Decomposition","display_name":"Compact Description of 3D Image Gamut by Singular Value Decomposition","publication_year":2001,"publication_date":"2001-01-01","ids":{"openalex":"https://openalex.org/W194304367","doi":"https://doi.org/10.2352/cic.2001.9.1.art00011","mag":"194304367"},"language":"en","primary_location":{"id":"doi:10.2352/cic.2001.9.1.art00011","is_oa":true,"landing_page_url":"http://dx.doi.org/10.2352/cic.2001.9.1.art00011","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/cic/9/1/art00011","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/9/1/art00011","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032319122","display_name":"Hiroaki Kotera","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hiroaki Kotera","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5071974946","display_name":"Ryoichi Saito","orcid":"https://orcid.org/0000-0001-5445-759X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ryoichi Saito","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5032319122"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0993,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.79888936,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"1","first_page":"56","last_page":"61"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9968000054359436,"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"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9968000054359436,"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"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9962999820709229,"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"}},{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9945999979972839,"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/gamut","display_name":"Gamut","score":0.9924542903900146},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6319849491119385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5273690819740295},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5272725224494934},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.4773840308189392},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4545714855194092},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40183451771736145},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3981822431087494}],"concepts":[{"id":"https://openalex.org/C2780061478","wikidata":"https://www.wikidata.org/wiki/Q375857","display_name":"Gamut","level":2,"score":0.9924542903900146},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6319849491119385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5273690819740295},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5272725224494934},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.4773840308189392},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4545714855194092},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40183451771736145},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3981822431087494}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/cic.2001.9.1.art00011","is_oa":true,"landing_page_url":"http://dx.doi.org/10.2352/cic.2001.9.1.art00011","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/cic/9/1/art00011","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.2001.9.1.art00011","is_oa":true,"landing_page_url":"http://dx.doi.org/10.2352/cic.2001.9.1.art00011","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/cic/9/1/art00011","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/W194304367.pdf"},"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/W2599346184","https://openalex.org/W4377079780"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,54,64],"compact":[4,55,95],"description":[5],"method":[6],"for":[7,100],"image":[8,26,41,88],"gamut":[9,44,47,89],"shell.":[10],"3D":[11],"I-":[12,33],"DGM.":[13],"(Image-to-Device":[14],"Gamut":[15],"Mapping":[16],"Algorithm)":[17],"is":[18,61,70,82,91],"an":[19],"ideal":[20],"way":[21],"to":[22,27],"map":[23],"the":[24,28,38,73,87,94],"display":[25],"inside":[29],"of":[30,37],"printer":[31],"gamut.":[32],"DGM":[34],"makes":[35],"use":[36],"relation":[39],"between":[40],"and":[42,86,98],"device":[43],"boundaries.":[45],"The":[46,80],"shape":[48],"data":[49],"should":[50],"be":[51],"described":[52],"in":[53,77],"format.":[56],"In":[57],"our":[58],"proposal,":[59],"it":[60],"given":[62],"by":[63,84],"2D":[65],"array":[66],"called":[67],"rimage,":[68],"which":[69],"measured":[71],"as":[72],"maximum":[74],"radius":[75],"distance":[76],"polar":[78],"angle.":[79],"r-image":[81],"compressed":[83],"SVD":[85,96],"shell":[90],"reconstructed":[92],"from":[93],"parameters":[97],"used":[99],"I-D":[101],"mapping.":[102]},"counts_by_year":[],"updated_date":"2026-03-11T06:11:40.159057","created_date":"2025-10-10T00:00:00"}
