{"id":"https://openalex.org/W2014712350","doi":"https://doi.org/10.1007/s11263-013-0632-1","title":"Camera Spectral Sensitivity and White Balance Estimation from Sky Images","display_name":"Camera Spectral Sensitivity and White Balance Estimation from Sky Images","publication_year":2013,"publication_date":"2013-06-11","ids":{"openalex":"https://openalex.org/W2014712350","doi":"https://doi.org/10.1007/s11263-013-0632-1","mag":"2014712350"},"language":"en","primary_location":{"id":"doi:10.1007/s11263-013-0632-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-013-0632-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-013-0632-1.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11263-013-0632-1.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113695192","display_name":"Rei Kawakami","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Rei Kawakami","raw_affiliation_strings":["Institute of Industrial Science, The University of Tokyo,  Tokyo, Japan","Institute of Industrial Science, The University of Tokyo , Tokyo , Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Industrial Science, The University of Tokyo,  Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Institute of Industrial Science, The University of Tokyo , Tokyo , Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100846759","display_name":"Hongxun Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hongxun Zhao","raw_affiliation_strings":["Institute of Industrial Science, The University of Tokyo,  Tokyo, Japan","Institute of Industrial Science, The University of Tokyo , Tokyo , Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Industrial Science, The University of Tokyo,  Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Institute of Industrial Science, The University of Tokyo , Tokyo , Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103147507","display_name":"Robby T. Tan","orcid":"https://orcid.org/0000-0001-7532-6919"},"institutions":[{"id":"https://openalex.org/I193662353","display_name":"Utrecht University","ror":"https://ror.org/04pp8hn57","country_code":"NL","type":"education","lineage":["https://openalex.org/I193662353"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Robby T. Tan","raw_affiliation_strings":["Department of Information and Computing Sciences,  Utrecht University, Utrecht, The Netherlands","Department of Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Computing Sciences,  Utrecht University, Utrecht, The Netherlands","institution_ids":["https://openalex.org/I193662353"]},{"raw_affiliation_string":"Department of Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands","institution_ids":["https://openalex.org/I193662353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016258462","display_name":"Katsushi Ikeuchi","orcid":"https://orcid.org/0000-0001-9758-9357"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Katsushi Ikeuchi","raw_affiliation_strings":["Institute of Industrial Science, The University of Tokyo,  Tokyo, Japan","Institute of Industrial Science, The University of Tokyo , Tokyo , Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Industrial Science, The University of Tokyo,  Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Institute of Industrial Science, The University of Tokyo , Tokyo , Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5113695192"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":{"value":4090,"currency":"USD","value_usd":4090},"apc_paid":{"value":4090,"currency":"USD","value_usd":4090},"fwci":3.3432,"has_fulltext":true,"cited_by_count":59,"citation_normalized_percentile":{"value":0.92593927,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"105","issue":"3","first_page":"187","last_page":"204"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9994000196456909,"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":0.9994000196456909,"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":0.996999979019165,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sky","display_name":"Sky","score":0.8177119493484497},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6114048361778259},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5938581824302673},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5729421377182007},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5511363744735718},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.49400025606155396},{"id":"https://openalex.org/keywords/color-balance","display_name":"Color balance","score":0.4484352469444275},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.25850093364715576},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2058408558368683},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.19105571508407593},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.15309655666351318}],"concepts":[{"id":"https://openalex.org/C73329638","wikidata":"https://www.wikidata.org/wiki/Q527","display_name":"Sky","level":2,"score":0.8177119493484497},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6114048361778259},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5938581824302673},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5729421377182007},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5511363744735718},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.49400025606155396},{"id":"https://openalex.org/C159784718","wikidata":"https://www.wikidata.org/wiki/Q182571","display_name":"Color balance","level":5,"score":0.4484352469444275},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25850093364715576},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2058408558368683},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.19105571508407593},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.15309655666351318},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11263-013-0632-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-013-0632-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-013-0632-1.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11263-013-0632-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-013-0632-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-013-0632-1.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2014712350.pdf","grobid_xml":"https://content.openalex.org/works/W2014712350.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W90923696","https://openalex.org/W91970217","https://openalex.org/W1487582710","https://openalex.org/W1963734685","https://openalex.org/W1966855663","https://openalex.org/W1967369969","https://openalex.org/W1975089519","https://openalex.org/W1977341822","https://openalex.org/W1987721959","https://openalex.org/W1988030911","https://openalex.org/W1990309126","https://openalex.org/W1990779621","https://openalex.org/W1997697625","https://openalex.org/W2015578497","https://openalex.org/W2026700513","https://openalex.org/W2034803536","https://openalex.org/W2036267060","https://openalex.org/W2046425638","https://openalex.org/W2046499950","https://openalex.org/W2055202551","https://openalex.org/W2056258157","https://openalex.org/W2060592567","https://openalex.org/W2061048804","https://openalex.org/W2077917962","https://openalex.org/W2097645057","https://openalex.org/W2100297733","https://openalex.org/W2110288559","https://openalex.org/W2116143083","https://openalex.org/W2118304946","https://openalex.org/W2119382615","https://openalex.org/W2122410868","https://openalex.org/W2124357248","https://openalex.org/W2129112648","https://openalex.org/W2129404650","https://openalex.org/W2133934946","https://openalex.org/W2142601254","https://openalex.org/W2152195021","https://openalex.org/W2156598602","https://openalex.org/W2168922899","https://openalex.org/W2235136907","https://openalex.org/W2295855747","https://openalex.org/W2402286283","https://openalex.org/W2402846924","https://openalex.org/W2405206530","https://openalex.org/W2544806203","https://openalex.org/W2975698860","https://openalex.org/W2991006905","https://openalex.org/W3121498843","https://openalex.org/W4229813183","https://openalex.org/W4377996683","https://openalex.org/W6665454787"],"related_works":["https://openalex.org/W4381389698","https://openalex.org/W1540776626","https://openalex.org/W2379222351","https://openalex.org/W2373616604","https://openalex.org/W4382246118","https://openalex.org/W2216907995","https://openalex.org/W1898114760","https://openalex.org/W4381329052","https://openalex.org/W2047023323","https://openalex.org/W1974499425"],"abstract_inverted_index":{"Photometric":[0],"camera":[1,19,36,61,105,152,165],"calibration":[2],"is":[3,44,74,79,179,201],"often":[4],"required":[5],"in":[6,170],"physics-based":[7],"computer":[8],"vision.":[9],"There":[10],"have":[11],"been":[12,33],"a":[13,57,126],"number":[14],"of":[15,117,164,197,212],"studies":[16],"to":[17,35,59,80,85,103,125],"estimate":[18,60],"response":[20],"functions":[21,163],"(gamma":[22],"function),":[23],"and":[24,39,64,96,144,181],"vignetting":[25],"effect":[26],"from":[27,69,135],"images.":[28],"However":[29],"less":[30],"attention":[31],"has":[32],"paid":[34],"spectral":[37,62,153,166],"sensitivities":[38,63,154,167],"white":[40,65,158],"balance":[41,66,159],"settings.":[42],"This":[43],"unfortunate,":[45],"since":[46],"those":[47],"two":[48],"properties":[49],"significantly":[50],"affect":[51],"image":[52,123],"colors.":[53],"Motivated":[54],"by":[55,120],"this,":[56],"method":[58,113,149,172,178],"setting":[67],"jointly":[68],"images":[70,92,190,208],"with":[71,101,156],"sky":[72,83,88,91,119,127,133,141,189,200],"regions":[73,84],"introduced.":[75],"The":[76,176],"basic":[77],"idea":[78],"use":[81],"the":[82,87,94,98,104,111,115,118,122,132,136,140,148,151,157,171,195,198,210,213],"infer":[86],"spectra.":[89],"Given":[90],"as":[93],"input":[95],"assuming":[97,194],"sun":[99],"direction":[100,107],"respect":[102],"viewing":[106],"can":[108],"be":[109],"extracted,":[110],"proposed":[112],"estimates":[114,150],"turbidity":[116],"fitting":[121],"intensities":[124],"model.":[128],"Subsequently,":[129],"it":[130,187],"calculates":[131],"spectra":[134],"estimated":[137],"turbidity.":[138],"Having":[139],"$$RGB$$":[142],"values":[143],"their":[145],"corresponding":[146],"spectra,":[147],"together":[155],"setting.":[160],"Precomputed":[161],"basis":[162],"are":[168],"used":[169],"for":[173],"robust":[174],"estimation.":[175],"whole":[177],"novel":[180],"practical":[182],"since,":[183],"unlike":[184],"existing":[185],"methods,":[186],"uses":[188],"without":[191],"additional":[192],"hardware,":[193],"geolocation":[196],"captured":[199],"known.":[202],"Experimental":[203],"results":[204],"using":[205],"various":[206],"real":[207],"show":[209],"effectiveness":[211],"method.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}