{"id":"https://openalex.org/W2028219289","doi":"https://doi.org/10.1109/cvpr.2010.5539850","title":"Personalization of image enhancement","display_name":"Personalization of image enhancement","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2028219289","doi":"https://doi.org/10.1109/cvpr.2010.5539850","mag":"2028219289"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2010.5539850","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5539850","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},"type":"conference-paper","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/A5004671096","display_name":"Sing Bing Kang","orcid":"https://orcid.org/0000-0003-2016-2915"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sing Bing Kang","raw_affiliation_strings":["Microsoft Research Limited, Redmond, WA, USA","[Microsoft Research,Redmond,WA,USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Limited, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"[Microsoft Research,Redmond,WA,USA]","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101933711","display_name":"Ashish Kapoor","orcid":"https://orcid.org/0009-0004-3764-8449"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ashish Kapoor","raw_affiliation_strings":["Microsoft Research Limited, Redmond, WA, USA","[Microsoft Research,Redmond,WA,USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Limited, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"[Microsoft Research,Redmond,WA,USA]","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091260693","display_name":"Dani Lischinski","orcid":"https://orcid.org/0000-0002-6191-0361"},"institutions":[{"id":"https://openalex.org/I197251160","display_name":"Hebrew University of Jerusalem","ror":"https://ror.org/03qxff017","country_code":"IL","type":"education","lineage":["https://openalex.org/I197251160"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Dani Lischinski","raw_affiliation_strings":["Hebrew University of Jerusalem, Israel","The Hebrew University of Jerusalem, , Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hebrew University of Jerusalem, Israel","institution_ids":["https://openalex.org/I197251160"]},{"raw_affiliation_string":"The Hebrew University of Jerusalem, , Israel","institution_ids":["https://openalex.org/I197251160"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":88,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1799","last_page":"1806"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9995999932289124,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9995999932289124,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9987000226974487,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9952999949455261,"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/personalization","display_name":"Personalization","score":0.8525233864784241},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8038111925125122},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.7194070816040039},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6099741458892822},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.5774325132369995},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5731019973754883},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5093494653701782},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.499161958694458},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4840928316116333},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.4495767056941986},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4475671052932739},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4355725646018982},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4018973112106323},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38772791624069214},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.134334534406662},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07072219252586365}],"concepts":[{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.8525233864784241},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8038111925125122},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.7194070816040039},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6099741458892822},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.5774325132369995},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5731019973754883},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5093494653701782},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.499161958694458},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4840928316116333},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.4495767056941986},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4475671052932739},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4355725646018982},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4018973112106323},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38772791624069214},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.134334534406662},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07072219252586365},{"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2010.5539850","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5539850","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1973256915","https://openalex.org/W1977842731","https://openalex.org/W2001141328","https://openalex.org/W2051434435","https://openalex.org/W2052090926","https://openalex.org/W2073336401","https://openalex.org/W2095610669","https://openalex.org/W2097074225","https://openalex.org/W2099111195","https://openalex.org/W2108303106","https://openalex.org/W2110764733","https://openalex.org/W2113945798","https://openalex.org/W2116645175","https://openalex.org/W2124332348","https://openalex.org/W2131824593","https://openalex.org/W2133934946","https://openalex.org/W2139616920","https://openalex.org/W2146745213","https://openalex.org/W2147804091","https://openalex.org/W2153663612","https://openalex.org/W2478708596","https://openalex.org/W2536599074","https://openalex.org/W3003506411","https://openalex.org/W4249993222","https://openalex.org/W4252684946","https://openalex.org/W6679608865"],"related_works":["https://openalex.org/W2429057255","https://openalex.org/W2187546663","https://openalex.org/W148745890","https://openalex.org/W4389670110","https://openalex.org/W2611942503","https://openalex.org/W4315621326","https://openalex.org/W2899790217","https://openalex.org/W2598865957","https://openalex.org/W1576092969","https://openalex.org/W2524154428"],"abstract_inverted_index":{"We":[0],"address":[1],"the":[2,79,107],"problem":[3],"of":[4,39,45,50,57,110],"incorporating":[5],"user":[6,28,86],"preference":[7],"in":[8,75,96],"automatic":[9],"image":[10,97,112],"enhancement.":[11],"Unlike":[12],"generic":[13,111],"tools":[14],"for":[15],"automatically":[16],"enhancing":[17],"images,":[18],"we":[19,63],"seek":[20],"to":[21,42,77],"develop":[22],"methods":[23],"that":[24,89,101],"can":[25,103],"first":[26],"observe":[27],"preferences":[29,41,95],"on":[30,85],"a":[31,37],"training":[32],"set,":[33],"and":[34,61,71],"then":[35],"learn":[36],"model":[38],"these":[40],"personalize":[43],"enhancement":[44],"unseen":[46],"images.":[47],"The":[48,81],"challenge":[49],"designing":[51],"such":[52,66],"system":[53],"lies":[54],"at":[55],"intersection":[56],"computer":[58],"vision,":[59],"learning,":[60],"usability;":[62],"use":[64],"techniques":[65],"as":[67],"active":[68],"sensor":[69],"selection":[70],"distance":[72],"metric":[73],"learning":[74],"order":[76],"solve":[78],"problem.":[80],"experimental":[82],"evaluation":[83],"based":[84],"studies":[87],"indicates":[88],"different":[90,94],"users":[91],"do":[92],"have":[93],"enhancement,":[98],"which":[99],"suggests":[100],"personalization":[102],"further":[104],"help":[105],"improve":[106],"subjective":[108],"quality":[109],"enhancements.":[113]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":12},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":7}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
