{"id":"https://openalex.org/W2059052598","doi":"https://doi.org/10.1109/memea.2012.6226675","title":"Artificial lighting to enhance color perception","display_name":"Artificial lighting to enhance color perception","publication_year":2012,"publication_date":"2012-05-01","ids":{"openalex":"https://openalex.org/W2059052598","doi":"https://doi.org/10.1109/memea.2012.6226675","mag":"2059052598"},"language":"en","primary_location":{"id":"doi:10.1109/memea.2012.6226675","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea.2012.6226675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Symposium on Medical Measurements and Applications Proceedings","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/A5037432849","display_name":"Ingrid Langer","orcid":null},"institutions":[{"id":"https://openalex.org/I103356709","display_name":"Obuda University","ror":"https://ror.org/00ax71d21","country_code":"HU","type":"education","lineage":["https://openalex.org/I103356709"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Ingrid Langer","raw_affiliation_strings":["Institute of Mechatronics and Vehicle Engineering, \u00d3buda University, Budapest, Hungary","Institute of Mechatronics & Vehicle Engineering, \u00d3buda University, Budapest, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Mechatronics and Vehicle Engineering, \u00d3buda University, Budapest, Hungary","institution_ids":["https://openalex.org/I103356709"]},{"raw_affiliation_string":"Institute of Mechatronics & Vehicle Engineering, \u00d3buda University, Budapest, Hungary","institution_ids":["https://openalex.org/I103356709"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053864965","display_name":"Annam\u00e1ria R. V\u00e1rkonyi-K\u00f3czy","orcid":"https://orcid.org/0000-0002-6932-8608"},"institutions":[{"id":"https://openalex.org/I103356709","display_name":"Obuda University","ror":"https://ror.org/00ax71d21","country_code":"HU","type":"education","lineage":["https://openalex.org/I103356709"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Annamaria R. Varkonyi-Koczy","raw_affiliation_strings":["Institute of Mechatronics and Vehicle Engineering, \u00d3buda University, Budapest, Hungary","Institute of Mechatronics & Vehicle Engineering, \u00d3buda University, Budapest, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Mechatronics and Vehicle Engineering, \u00d3buda University, Budapest, Hungary","institution_ids":["https://openalex.org/I103356709"]},{"raw_affiliation_string":"Institute of Mechatronics & Vehicle Engineering, \u00d3buda University, Budapest, Hungary","institution_ids":["https://openalex.org/I103356709"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.12893424,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10427","display_name":"Visual perception and processing mechanisms","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10427","display_name":"Visual perception and processing mechanisms","score":0.9991999864578247,"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/T11666","display_name":"Color Science and Applications","score":0.9980999827384949,"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/T12496","display_name":"Color perception and design","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/gamut","display_name":"Gamut","score":0.9455909729003906},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.7880346179008484},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.660010576248169},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6530275344848633},{"id":"https://openalex.org/keywords/color-vision","display_name":"Color vision","score":0.6500579714775085},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6495000123977661},{"id":"https://openalex.org/keywords/spectral-power-distribution","display_name":"Spectral power distribution","score":0.6241613030433655},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5693890452384949},{"id":"https://openalex.org/keywords/color-balance","display_name":"Color balance","score":0.5428495407104492},{"id":"https://openalex.org/keywords/lightness","display_name":"Lightness","score":0.5415788292884827},{"id":"https://openalex.org/keywords/color-model","display_name":"Color model","score":0.47525498270988464},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.475025475025177},{"id":"https://openalex.org/keywords/spectral-color","display_name":"Spectral color","score":0.4633273482322693},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4427325129508972},{"id":"https://openalex.org/keywords/high-color","display_name":"High color","score":0.4383014738559723},{"id":"https://openalex.org/keywords/rgb-color-space","display_name":"RGB color space","score":0.4372076690196991},{"id":"https://openalex.org/keywords/primary-color","display_name":"Primary color","score":0.43023407459259033},{"id":"https://openalex.org/keywords/color-histogram","display_name":"Color histogram","score":0.4211900234222412},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.35277557373046875},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.13423192501068115},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.12032762169837952},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.0937080979347229},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07755139470100403},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07335174083709717}],"concepts":[{"id":"https://openalex.org/C2780061478","wikidata":"https://www.wikidata.org/wiki/Q375857","display_name":"Gamut","level":2,"score":0.9455909729003906},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.7880346179008484},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.660010576248169},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6530275344848633},{"id":"https://openalex.org/C61674017","wikidata":"https://www.wikidata.org/wiki/Q374259","display_name":"Color vision","level":2,"score":0.6500579714775085},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6495000123977661},{"id":"https://openalex.org/C94360122","wikidata":"https://www.wikidata.org/wiki/Q1967557","display_name":"Spectral power distribution","level":2,"score":0.6241613030433655},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5693890452384949},{"id":"https://openalex.org/C159784718","wikidata":"https://www.wikidata.org/wiki/Q182571","display_name":"Color balance","level":5,"score":0.5428495407104492},{"id":"https://openalex.org/C193601281","wikidata":"https://www.wikidata.org/wiki/Q19426","display_name":"Lightness","level":2,"score":0.5415788292884827},{"id":"https://openalex.org/C36262787","wikidata":"https://www.wikidata.org/wiki/Q2294018","display_name":"Color model","level":4,"score":0.47525498270988464},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.475025475025177},{"id":"https://openalex.org/C97991835","wikidata":"https://www.wikidata.org/wiki/Q910300","display_name":"Spectral color","level":5,"score":0.4633273482322693},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4427325129508972},{"id":"https://openalex.org/C131910990","wikidata":"https://www.wikidata.org/wiki/Q1202284","display_name":"High color","level":5,"score":0.4383014738559723},{"id":"https://openalex.org/C84216515","wikidata":"https://www.wikidata.org/wiki/Q375677","display_name":"RGB color space","level":5,"score":0.4372076690196991},{"id":"https://openalex.org/C106730002","wikidata":"https://www.wikidata.org/wiki/Q166902","display_name":"Primary color","level":2,"score":0.43023407459259033},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.4211900234222412},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.35277557373046875},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.13423192501068115},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.12032762169837952},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0937080979347229},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07755139470100403},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07335174083709717},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/memea.2012.6226675","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea.2012.6226675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Symposium on Medical Measurements and Applications Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321994","display_name":"Hungarian Scientific Research Fund","ror":"https://ror.org/00v349e63"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1005996481","https://openalex.org/W2040888299","https://openalex.org/W2041282374","https://openalex.org/W2042836646","https://openalex.org/W2080761261","https://openalex.org/W2140164635","https://openalex.org/W2188086066","https://openalex.org/W2294357588","https://openalex.org/W4252910556","https://openalex.org/W6626073435","https://openalex.org/W6686941091"],"related_works":["https://openalex.org/W2009560910","https://openalex.org/W2995372689","https://openalex.org/W2378642171","https://openalex.org/W4319988313","https://openalex.org/W1972421294","https://openalex.org/W1543502857","https://openalex.org/W1978051072","https://openalex.org/W2354499342","https://openalex.org/W1976512822","https://openalex.org/W1977788373"],"abstract_inverted_index":{"Today,":[0],"research":[1],"areas":[2],"related":[3],"to":[4,78,98,115,129],"color":[5,16,19,33,40,51,82,90,103,111,126],"vision":[6,41],"have":[7],"become":[8],"very":[9],"important.":[10],"By":[11],"improving":[12],"the":[13,18,30,48,67,70,75,80,85,99,102,109,125,130],"quality":[14],"of":[15,22,32,36,50,69,74,101,108,121],"perception,":[17],"capturing":[20],"capability":[21,105],"humans":[23],"can":[24,96],"be":[25],"augmented.":[26],"This":[27],"may":[28],"mean":[29],"extension":[31],"gamut":[34,112],"perception":[35,91],"people":[37],"having":[38],"good":[39],"facilities":[42],"via":[43],"electronic":[44],"devices":[45],"and":[46,106],"also":[47],"support":[49],"deficient":[52],"people.":[53],"In":[54],"this":[55],"paper,":[56],"an":[57],"artificial":[58],"lighting":[59],"method":[60],"is":[61,64],"proposed":[62],"which":[63],"based":[65],"on":[66],"modification":[68],"spectral":[71],"power":[72],"distribution":[73,120],"illumination":[76],"aiming":[77],"match":[79],"sensed":[81],"spectra":[83],"with":[84],"(individual":[86],"or":[87],"general)":[88],"human":[89],"process.":[92],"The":[93],"introduced":[94],"solution":[95],"contribute":[97],"optimization":[100],"differentiation":[104],"that":[107],"perceptible":[110,122],"in":[113,124],"order":[114],"ensure":[116],"maximum":[117],"distance":[118],"uniform":[119],"colors":[123],"space":[127],"transmitted":[128],"brain.":[131]},"counts_by_year":[{"year":2016,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}