{"id":"https://openalex.org/W2897662688","doi":"https://doi.org/10.1145/3240508.3240595","title":"High-Quality Exposure Correction of Underexposed Photos","display_name":"High-Quality Exposure Correction of Underexposed Photos","publication_year":2018,"publication_date":"2018-10-15","ids":{"openalex":"https://openalex.org/W2897662688","doi":"https://doi.org/10.1145/3240508.3240595","mag":"2897662688"},"language":"en","primary_location":{"id":"doi:10.1145/3240508.3240595","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3240508.3240595","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM international conference on Multimedia","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/A5100639897","display_name":"Zhang Qing","orcid":"https://orcid.org/0000-0002-3811-3831"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qing Zhang","raw_affiliation_strings":["Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040011580","display_name":"Ganzhao Yuan","orcid":"https://orcid.org/0000-0002-2239-7315"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ganzhao Yuan","raw_affiliation_strings":["Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100768160","display_name":"Chunxia Xiao","orcid":"https://orcid.org/0000-0002-4526-6297"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunxia Xiao","raw_affiliation_strings":["Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016081925","display_name":"Lei Zhu","orcid":"https://orcid.org/0000-0003-3871-663X"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhu","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108050904","display_name":"Wei\u2010Shi Zheng","orcid":"https://orcid.org/0000-0001-8327-0003"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei-Shi Zheng","raw_affiliation_strings":["Sun Yat-sen University &amp; The Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, China, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University &amp; The Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, China, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100639897"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":5.3185,"has_fulltext":false,"cited_by_count":120,"citation_normalized_percentile":{"value":0.96864816,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"582","last_page":"590"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9977999925613403,"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/T11666","display_name":"Color Science and Applications","score":0.9973999857902527,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7542390823364258},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6896833181381226},{"id":"https://openalex.org/keywords/color-constancy","display_name":"Color constancy","score":0.6718831658363342},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.647402286529541},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5626475811004639},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5415149331092834},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.44211894273757935},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34658539295196533},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2923460602760315}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7542390823364258},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6896833181381226},{"id":"https://openalex.org/C187888035","wikidata":"https://www.wikidata.org/wiki/Q2563885","display_name":"Color constancy","level":3,"score":0.6718831658363342},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.647402286529541},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5626475811004639},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5415149331092834},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.44211894273757935},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34658539295196533},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2923460602760315},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3240508.3240595","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3240508.3240595","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM international conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-156210","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-156210","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1580436348","https://openalex.org/W1640745651","https://openalex.org/W1978461177","https://openalex.org/W1979666307","https://openalex.org/W1980212291","https://openalex.org/W1987444808","https://openalex.org/W1990675808","https://openalex.org/W1998393535","https://openalex.org/W2001412060","https://openalex.org/W2010812559","https://openalex.org/W2011260964","https://openalex.org/W2011592399","https://openalex.org/W2024270358","https://openalex.org/W2025328853","https://openalex.org/W2054814429","https://openalex.org/W2058333183","https://openalex.org/W2076205488","https://openalex.org/W2078718577","https://openalex.org/W2087257250","https://openalex.org/W2099244020","https://openalex.org/W2110096996","https://openalex.org/W2111787677","https://openalex.org/W2113404166","https://openalex.org/W2116899452","https://openalex.org/W2121900453","https://openalex.org/W2130371553","https://openalex.org/W2150721269","https://openalex.org/W2164278908","https://openalex.org/W2165107586","https://openalex.org/W2254039850","https://openalex.org/W2343431701","https://openalex.org/W2412926690","https://openalex.org/W2468596194","https://openalex.org/W2566376500","https://openalex.org/W2736628001","https://openalex.org/W2749871042","https://openalex.org/W2780108394","https://openalex.org/W4230472795","https://openalex.org/W4241614188","https://openalex.org/W4292363360"],"related_works":["https://openalex.org/W2982638676","https://openalex.org/W4237735386","https://openalex.org/W2622554317","https://openalex.org/W2006198159","https://openalex.org/W1603973577","https://openalex.org/W2114667878","https://openalex.org/W2159871081","https://openalex.org/W2082294883","https://openalex.org/W2155138846","https://openalex.org/W2405544836"],"abstract_inverted_index":{"We":[0,50],"address":[1],"the":[2,6,35,53,70,94,99,121,137,141,147],"problem":[3,16,102],"of":[4,8,37,45,143],"correcting":[5],"exposure":[7,47,100],"underexposed":[9],"photos.":[10],"Previous":[11],"methods":[12,58],"have":[13],"tackled":[14],"this":[15,76,91],"from":[17],"many":[18],"different":[19],"perspectives":[20],"and":[21,72,93,129,133,136],"achieved":[22],"remarkable":[23],"progress.":[24],"However,":[25],"they":[26,64],"usually":[27],"fail":[28],"to":[29,34],"produce":[30],"natural-looking":[31],"results":[32],"due":[33],"existence":[36],"visual":[38],"artifacts":[39,61],"such":[40],"as":[41,82,103,112],"color":[42,128],"distortion,":[43],"loss":[44],"detail,":[46],"inconsistency,":[48],"etc.":[49],"find":[51],"that":[52,118],"main":[54],"reason":[55],"why":[56],"existing":[57],"induce":[59],"these":[60],"is":[62,87,110],"because":[63],"break":[65],"a":[66],"perceptually":[67,83],"similarity":[68,85],"between":[69],"input":[71],"output.":[73],"Based":[74,89],"on":[75,90],"observation,":[77],"an":[78,104],"effective":[79],"criterion,":[80],"termed":[81],"bidirectional":[84],"(PBS)":[86],"proposed.":[88],"criterion":[92],"Retinex":[95],"theory,":[96],"we":[97],"cast":[98],"correction":[101],"illumination":[105,117],"estimation":[106],"optimization,":[107],"where":[108],"PBS":[109],"defined":[111],"three":[113],"constraints":[114],"for":[115],"estimating":[116],"can":[119],"generate":[120],"desired":[122],"result":[123],"with":[124],"even":[125],"exposure,":[126],"vivid":[127],"clear":[130],"textures.":[131],"Qualitative":[132],"quantitative":[134],"comparisons,":[135],"user":[138],"study":[139],"demonstrate":[140],"superiority":[142],"our":[144],"method":[145],"over":[146],"state-of-the-art":[148],"methods.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":23},{"year":2021,"cited_by_count":21},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":9}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}
