{"id":"https://openalex.org/W3214189692","doi":"https://doi.org/10.1109/iscit52804.2021.9590615","title":"Proposal of Color Correction Method for Color Vision Deficiency Considering Correction Amount","display_name":"Proposal of Color Correction Method for Color Vision Deficiency Considering Correction Amount","publication_year":2021,"publication_date":"2021-10-19","ids":{"openalex":"https://openalex.org/W3214189692","doi":"https://doi.org/10.1109/iscit52804.2021.9590615","mag":"3214189692"},"language":"en","primary_location":{"id":"doi:10.1109/iscit52804.2021.9590615","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscit52804.2021.9590615","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 20th International Symposium on Communications and Information Technologies (ISCIT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5101930014","display_name":"Xi Cheng","orcid":"https://orcid.org/0000-0001-7435-6307"},"institutions":[{"id":"https://openalex.org/I33858575","display_name":"Nagoya City University","ror":"https://ror.org/04wn7wc95","country_code":"JP","type":"education","lineage":["https://openalex.org/I33858575"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Xi Cheng","raw_affiliation_strings":["Graduate School of Science, Nagoya City University, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science, Nagoya City University, Nagoya, Japan","institution_ids":["https://openalex.org/I33858575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102734754","display_name":"Go Tanaka","orcid":"https://orcid.org/0000-0003-0807-7873"},"institutions":[{"id":"https://openalex.org/I33858575","display_name":"Nagoya City University","ror":"https://ror.org/04wn7wc95","country_code":"JP","type":"education","lineage":["https://openalex.org/I33858575"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Go Tanaka","raw_affiliation_strings":["Graduate School of Science, Nagoya City University, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science, Nagoya City University, Nagoya, Japan","institution_ids":["https://openalex.org/I33858575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101930014"],"corresponding_institution_ids":["https://openalex.org/I33858575"],"apc_list":null,"apc_paid":null,"fwci":0.1502,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53542769,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"30","last_page":"31"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9997000098228455,"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":0.9997000098228455,"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/T10427","display_name":"Visual perception and processing mechanisms","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9886999726295471,"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-correction","display_name":"Color correction","score":0.7980456948280334},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7432339191436768},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6799366474151611},{"id":"https://openalex.org/keywords/color-balance","display_name":"Color balance","score":0.6367244720458984},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6034615635871887},{"id":"https://openalex.org/keywords/confusion","display_name":"Confusion","score":0.5759970545768738},{"id":"https://openalex.org/keywords/color-vision","display_name":"Color vision","score":0.5102443695068359},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5016286373138428},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.49247249960899353},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.49048134684562683},{"id":"https://openalex.org/keywords/color-histogram","display_name":"Color histogram","score":0.4749736189842224},{"id":"https://openalex.org/keywords/color-normalization","display_name":"Color normalization","score":0.47487255930900574},{"id":"https://openalex.org/keywords/color-difference","display_name":"Color difference","score":0.4362732470035553},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.4283027648925781},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38925427198410034},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2541595697402954},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.087191641330719}],"concepts":[{"id":"https://openalex.org/C2779495555","wikidata":"https://www.wikidata.org/wiki/Q5148596","display_name":"Color correction","level":3,"score":0.7980456948280334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7432339191436768},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6799366474151611},{"id":"https://openalex.org/C159784718","wikidata":"https://www.wikidata.org/wiki/Q182571","display_name":"Color balance","level":5,"score":0.6367244720458984},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6034615635871887},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.5759970545768738},{"id":"https://openalex.org/C61674017","wikidata":"https://www.wikidata.org/wiki/Q374259","display_name":"Color vision","level":2,"score":0.5102443695068359},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5016286373138428},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.49247249960899353},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.49048134684562683},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.4749736189842224},{"id":"https://openalex.org/C44404184","wikidata":"https://www.wikidata.org/wiki/Q5148620","display_name":"Color normalization","level":5,"score":0.47487255930900574},{"id":"https://openalex.org/C186991048","wikidata":"https://www.wikidata.org/wiki/Q1184883","display_name":"Color difference","level":3,"score":0.4362732470035553},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.4283027648925781},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38925427198410034},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2541595697402954},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.087191641330719},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"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:10.1109/iscit52804.2021.9590615","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscit52804.2021.9590615","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 20th International Symposium on Communications and Information Technologies (ISCIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2000512760","https://openalex.org/W2043870933","https://openalex.org/W2982020875","https://openalex.org/W3090008520","https://openalex.org/W3096837898","https://openalex.org/W4206519171"],"related_works":["https://openalex.org/W2964919246","https://openalex.org/W1964628873","https://openalex.org/W2363948521","https://openalex.org/W2100164740","https://openalex.org/W2094705558","https://openalex.org/W2117507819","https://openalex.org/W2587422540","https://openalex.org/W4382677416","https://openalex.org/W2781959534","https://openalex.org/W2536139236"],"abstract_inverted_index":{"Color":[0],"correction":[1,26],"for":[2,48],"color":[3,25,46,51],"vision":[4,52],"deficiency":[5,53],"is":[6,22,58],"to":[7,15],"correct":[8],"confusion":[9],"colors":[10,16],"in":[11,54],"an":[12,55],"input":[13],"image":[14,57],"which":[17,28,72],"can":[18],"be":[19],"distinguished.":[20],"There":[21],"such":[23],"a":[24,42,69],"method":[27,40,71],"simultaneously":[29],"considers":[30],"contrast":[31],"improvement":[32],"and":[33],"suppressing":[34],"the":[35,39,45,63,74],"over":[36],"correction.":[37],"However,":[38],"has":[41],"problem":[43],"that":[44],"difference":[47],"people":[49],"with":[50,62],"output":[56],"sometimes":[59],"not":[60],"consistent":[61],"set":[64],"target":[65],"value.":[66],"We":[67],"propose":[68],"new":[70],"solves":[73],"problem.":[75]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
