{"id":"https://openalex.org/W2725055075","doi":"https://doi.org/10.1587/transinf.2016edp7367","title":"Multi-View 3D CG Image Quality Assessment for Contrast Enhancement Based on S-CIELAB Color Space","display_name":"Multi-View 3D CG Image Quality Assessment for Contrast Enhancement Based on S-CIELAB Color Space","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2725055075","doi":"https://doi.org/10.1587/transinf.2016edp7367","mag":"2725055075"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2016edp7367","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2016edp7367","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E100.D/7/E100.D_2016EDP7367/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/transinf/E100.D/7/E100.D_2016EDP7367/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073575842","display_name":"Norifumi Kawabata","orcid":"https://orcid.org/0000-0002-5372-4649"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Norifumi KAWABATA","raw_affiliation_strings":["Graduate School of Information Science, Nagoya University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science, Nagoya University","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111816082","display_name":"Masaru Miyao","orcid":null},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaru MIYAO","raw_affiliation_strings":["Graduate School of Information Science, Nagoya University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science, Nagoya University","institution_ids":["https://openalex.org/I60134161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2771,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.63475554,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"E100.D","issue":"7","first_page":"1448","last_page":"1462"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9959999918937683,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9959999918937683,"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/T11666","display_name":"Color Science and Applications","score":0.9911999702453613,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9896000027656555,"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/luminance","display_name":"Luminance","score":0.7394676208496094},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7033053636550903},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.7016048431396484},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.6701337099075317},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6316449046134949},{"id":"https://openalex.org/keywords/parallax","display_name":"Parallax","score":0.5367933511734009},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.531179666519165},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5004239082336426},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4865507185459137},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33723145723342896},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2763238549232483}],"concepts":[{"id":"https://openalex.org/C73313986","wikidata":"https://www.wikidata.org/wiki/Q355386","display_name":"Luminance","level":2,"score":0.7394676208496094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7033053636550903},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.7016048431396484},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.6701337099075317},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6316449046134949},{"id":"https://openalex.org/C15759828","wikidata":"https://www.wikidata.org/wiki/Q165074","display_name":"Parallax","level":2,"score":0.5367933511734009},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.531179666519165},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5004239082336426},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4865507185459137},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33723145723342896},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2763238549232483}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transinf.2016edp7367","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2016edp7367","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E100.D/7/E100.D_2016EDP7367/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2016edp7367","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2016edp7367","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E100.D/7/E100.D_2016EDP7367/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2725055075.pdf","grobid_xml":"https://content.openalex.org/works/W2725055075.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W789394756","https://openalex.org/W1898261279","https://openalex.org/W2110290736","https://openalex.org/W2123809100","https://openalex.org/W2144774647","https://openalex.org/W2320792575","https://openalex.org/W2323199149","https://openalex.org/W2476926273","https://openalex.org/W2533228566","https://openalex.org/W2598868886","https://openalex.org/W2943608720","https://openalex.org/W3127643629"],"related_works":["https://openalex.org/W4320811325","https://openalex.org/W2754502502","https://openalex.org/W2750870760","https://openalex.org/W1992349483","https://openalex.org/W1964266265","https://openalex.org/W2066744381","https://openalex.org/W3101031720","https://openalex.org/W4242574474","https://openalex.org/W2067489452","https://openalex.org/W2061920071"],"abstract_inverted_index":{"Previously,":[0],"it":[1],"is":[2],"not":[3],"obvious":[4],"to":[5,125,135],"what":[6],"extent":[7],"was":[8,123],"accepted":[9],"for":[10,72],"the":[11,16,23,28,49,54,80,89,103,111,119,126,137],"assessors":[12],"when":[13],"we":[14,37,64,87,100,116,132],"see":[15,136],"3D":[17],"image":[18,77],"(including":[19],"multi-view":[20],"3D)":[21],"which":[22],"luminance":[24,50,104],"change":[25],"may":[26],"affect":[27],"stereoscopic":[29],"effect":[30],"and":[31,58,143],"assessment":[32,142],"generally.":[33],"We":[34],"think":[35],"that":[36],"can":[38],"conduct":[39],"a":[40,45,94],"general":[41],"evaluation,":[42,47],"along":[43],"with":[44],"subjective":[46,69,127,141],"of":[48,68],"component":[51],"using":[52,79,93,108],"both":[53],"S-CIELAB":[55,112],"color":[56,113],"space":[57],"CIEDE2000.":[59],"In":[60],"this":[61],"study,":[62],"first,":[63],"performed":[65],"three":[66],"types":[67],"evaluation":[70,121,128],"experiments":[71],"contrast":[73],"enhancement":[74],"in":[75,110],"an":[76],"by":[78,92,107],"eight":[81],"viewpoints":[82],"parallax":[83],"barrier":[84],"method.":[85],"Next,":[86],"analyzed":[88],"results":[90],"statistically":[91],"support":[95],"vector":[96],"machine":[97],"(SVM).":[98],"Further,":[99],"objectively":[101],"evaluated":[102],"value":[105,122],"measurement":[106],"CIEDE2000":[109],"space.":[114],"Then,":[115],"checked":[117],"whether":[118],"objective":[120,144],"related":[124],"value.":[129],"From":[130],"results,":[131],"were":[133],"able":[134],"characteristic":[138],"relationship":[139],"between":[140],"assessment.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
