{"id":"https://openalex.org/W4301498814","doi":"https://doi.org/10.7148/2022-0150","title":"Calibration Model for Perceptual Compensation of Defective Pixels of Self-Emitting Display","display_name":"Calibration Model for Perceptual Compensation of Defective Pixels of Self-Emitting Display","publication_year":2022,"publication_date":"2022-06-03","ids":{"openalex":"https://openalex.org/W4301498814","doi":"https://doi.org/10.7148/2022-0150"},"language":"en","primary_location":{"id":"doi:10.7148/2022-0150","is_oa":false,"landing_page_url":"https://doi.org/10.7148/2022-0150","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ECMS 2022 Proceedings edited by Ibrahim A. Hameed, Agus Hasan, Saleh Abdel-Afou Alaliyat","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/A5025672407","display_name":"Olga Basova","orcid":"https://orcid.org/0009-0005-1404-6354"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Olga A. Basova","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110940769","display_name":"Anton Grigoryev","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anton Grigoryev","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5066631478","display_name":"Dmitry Nikolaev","orcid":"https://orcid.org/0000-0001-5560-7668"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dmitry P. Nikolaev","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5025672407"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09421472,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"150","last_page":"158"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9839000105857849,"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":0.9839000105857849,"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/T11408","display_name":"Advanced Optical Imaging Technologies","score":0.9804999828338623,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9663000106811523,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7487965226173401},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7394940853118896},{"id":"https://openalex.org/keywords/brightness","display_name":"Brightness","score":0.729568362236023},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.7207649946212769},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6193368434906006},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.584543764591217},{"id":"https://openalex.org/keywords/color-difference","display_name":"Color difference","score":0.5530762672424316},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5523920655250549},{"id":"https://openalex.org/keywords/lightness","display_name":"Lightness","score":0.49616965651512146},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.48818880319595337},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.41546061635017395},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.33106231689453125},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32020384073257446},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.2556183338165283},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08921489119529724},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08844861388206482},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.06753098964691162},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.06096482276916504}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7487965226173401},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7394940853118896},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.729568362236023},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.7207649946212769},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6193368434906006},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.584543764591217},{"id":"https://openalex.org/C186991048","wikidata":"https://www.wikidata.org/wiki/Q1184883","display_name":"Color difference","level":3,"score":0.5530762672424316},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5523920655250549},{"id":"https://openalex.org/C193601281","wikidata":"https://www.wikidata.org/wiki/Q19426","display_name":"Lightness","level":2,"score":0.49616965651512146},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.48818880319595337},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.41546061635017395},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33106231689453125},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32020384073257446},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.2556183338165283},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08921489119529724},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08844861388206482},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.06753098964691162},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.06096482276916504},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.7148/2022-0150","is_oa":false,"landing_page_url":"https://doi.org/10.7148/2022-0150","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ECMS 2022 Proceedings edited by Ibrahim A. Hameed, Agus Hasan, Saleh Abdel-Afou Alaliyat","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1967533247","https://openalex.org/W2366042935","https://openalex.org/W1956676943","https://openalex.org/W1988273473","https://openalex.org/W2360428998","https://openalex.org/W2511081116","https://openalex.org/W2084863008","https://openalex.org/W2335010264","https://openalex.org/W2385260555","https://openalex.org/W4241886099"],"abstract_inverted_index":{"In":[0,52],"this":[1,53],"paper,":[2],"we":[3,55,65],"study":[4],"compensation":[5,17,60,92],"of":[6,15,26,59,74,90,109,111,122],"defective":[7],"subpixels":[8],"with":[9],"insufficient":[10],"maximum":[11],"brightness.":[12],"The":[13],"aim":[14],"the":[16,21,27,35,39,44,49,57,72,88,91,119,123,132,135],"is":[18,31],"to":[19],"minimize":[20],"perceived":[22,36,112],"image":[23,29,46],"non-uniformity.":[24],"Compensation":[25],"displayed":[28,47],"non-uniformity":[30],"based":[32,76],"on":[33,62,77,93],"minimizing":[34],"distance":[37],"between":[38,134],"target":[40],"(ideally":[41],"displayed)":[42],"and":[43,84],"simulated":[45],"by":[48],"calibrated":[50],"screen.":[51],"work,":[54],"compare":[56],"efficiency":[58,89],"depending":[61],"color":[63,67,81,136],"coordinates":[64],"calculate":[66],"difference":[68,133],"in.":[69],"We":[70,86],"investigated":[71],"behavior":[73],"compensations":[75],"two":[78],"different":[79],"uniform":[80],"coordinates:":[82],"CIELAB":[83,106],"Oklab.":[85],"examine":[87],"natural":[94],"scenery":[95],"images.":[96],"It":[97],"was":[98],"found":[99],"that":[100],"Oklab":[101],"shows":[102],"better":[103],"performance":[104],"than":[105],"in":[107],"terms":[108],"uniformity":[110],"compensated":[113],"image.":[114],"However,":[115],"taking":[116],"into":[117],"account":[118],"spatial":[120],"properties":[121],"human":[124],"visual":[125],"system":[126],"using":[127],"S-CIELAB":[128],"preprocessing":[129],"almost":[130],"eliminates":[131],"coordinates.":[137]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}