{"id":"https://openalex.org/W4406612920","doi":"https://doi.org/10.1109/smc54092.2024.10831842","title":"MECNet: Multi-Scale Exposure-Consistency Learning via Fourier Transform for Exposure Correction","display_name":"MECNet: Multi-Scale Exposure-Consistency Learning via Fourier Transform for Exposure Correction","publication_year":2024,"publication_date":"2024-10-06","ids":{"openalex":"https://openalex.org/W4406612920","doi":"https://doi.org/10.1109/smc54092.2024.10831842"},"language":"en","primary_location":{"id":"doi:10.1109/smc54092.2024.10831842","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc54092.2024.10831842","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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":null,"display_name":"Gaofei Qiao","orcid":null},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gaofei Qiao","raw_affiliation_strings":["Inner Mongolia University,Key Laboratory of Wireless Networks and Mobile Computing, Engineering Research Center of Ecological Big Data, Ministry of Education,Hohhot,China,010021"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inner Mongolia University,Key Laboratory of Wireless Networks and Mobile Computing, Engineering Research Center of Ecological Big Data, Ministry of Education,Hohhot,China,010021","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100370011","display_name":"Zhibin Zhang","orcid":"https://orcid.org/0000-0002-1453-1393"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhibin Zhang","raw_affiliation_strings":["Inner Mongolia University,Key Laboratory of Wireless Networks and Mobile Computing, Engineering Research Center of Ecological Big Data, Ministry of Education,Hohhot,China,010021"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inner Mongolia University,Key Laboratory of Wireless Networks and Mobile Computing, Engineering Research Center of Ecological Big Data, Ministry of Education,Hohhot,China,010021","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100836264","display_name":"Liqiang He","orcid":null},"institutions":[{"id":"https://openalex.org/I4210155701","display_name":"Geomechanica (Canada)","ror":"https://ror.org/0534wbh79","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210155701"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Liqiang He","raw_affiliation_strings":["Geomechanica Inc,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Geomechanica Inc,Canada","institution_ids":["https://openalex.org/I4210155701"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22393964,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2440","last_page":"2446"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.6495000123977661,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.6495000123977661,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10320","display_name":"Neural Networks and Applications","score":0.5764999985694885,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/scale","display_name":"Scale (ratio)","score":0.67557692527771},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.6278435587882996},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6127609610557556},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5712457895278931},{"id":"https://openalex.org/keywords/discrete-fourier-transform","display_name":"Discrete Fourier transform (general)","score":0.41678041219711304},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3889702260494232},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2776854634284973},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.24466371536254883},{"id":"https://openalex.org/keywords/short-time-fourier-transform","display_name":"Short-time Fourier transform","score":0.21110475063323975},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08336472511291504},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.05572545528411865}],"concepts":[{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.67557692527771},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.6278435587882996},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6127609610557556},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5712457895278931},{"id":"https://openalex.org/C57733114","wikidata":"https://www.wikidata.org/wiki/Q1006032","display_name":"Discrete Fourier transform (general)","level":5,"score":0.41678041219711304},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3889702260494232},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2776854634284973},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.24466371536254883},{"id":"https://openalex.org/C166386157","wikidata":"https://www.wikidata.org/wiki/Q1477735","display_name":"Short-time Fourier transform","level":4,"score":0.21110475063323975},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08336472511291504},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.05572545528411865},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc54092.2024.10831842","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc54092.2024.10831842","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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":22,"referenced_works":["https://openalex.org/W2064076387","https://openalex.org/W2116973876","https://openalex.org/W2133665775","https://openalex.org/W2566376500","https://openalex.org/W2607202125","https://openalex.org/W2752782242","https://openalex.org/W2766620038","https://openalex.org/W2766802800","https://openalex.org/W2780108394","https://openalex.org/W2783573276","https://openalex.org/W2791710889","https://openalex.org/W2948354154","https://openalex.org/W3035731588","https://openalex.org/W3173307371","https://openalex.org/W3174792937","https://openalex.org/W3174883353","https://openalex.org/W4230472795","https://openalex.org/W4304084103","https://openalex.org/W4312746248","https://openalex.org/W4312926994","https://openalex.org/W4386552520","https://openalex.org/W4394597691"],"related_works":["https://openalex.org/W1603736412","https://openalex.org/W4304185162","https://openalex.org/W2061685118","https://openalex.org/W3006282800","https://openalex.org/W2462100143","https://openalex.org/W1770503332","https://openalex.org/W3125207769","https://openalex.org/W2516295475","https://openalex.org/W2766639751","https://openalex.org/W2390401148"],"abstract_inverted_index":{"In":[0],"the":[1,63,69,97,106,118,124],"real":[2],"world,":[3],"due":[4],"to":[5,39,55,72,85,95],"various":[6],"challenging":[7],"lighting":[8],"conditions":[9],"such":[10],"as":[11],"low":[12],"light,":[13],"underexposure,":[14],"and":[15,58,76,120],"overexposure,":[16],"captured":[17],"images":[18,25],"often":[19],"exhibit":[20],"undesirable":[21],"appearances.":[22],"Given":[23],"that":[24],"with":[26,79],"different":[27,31,101],"exposure":[28,47,52],"levels":[29],"require":[30],"correction":[32,48],"processes,":[33],"a":[34,45],"single":[35],"neural":[36],"network":[37],"struggles":[38],"produce":[40],"satisfactory":[41],"results.":[42],"We":[43],"propose":[44],"coarse-to-fine":[46],"model":[49],"for":[50],"learning":[51],"consistency":[53],"representation":[54],"address":[56],"underexposure":[57],"overexposure":[59],"issues.":[60],"Building":[61],"upon":[62],"bilateral":[64],"activation":[65],"mechanism,":[66],"we":[67,91],"introduce":[68],"Fourier":[70],"transform":[71],"capture":[73],"global":[74],"information":[75,82],"fuse":[77],"it":[78],"locally":[80],"extracted":[81],"through":[83],"convolution":[84],"achieve":[86],"superior":[87],"feature":[88],"representation.":[89],"Additionally,":[90],"employ":[92],"Laplacian":[93],"pyramids":[94],"decompose":[96],"source":[98],"image":[99,107],"into":[100],"spatial":[102],"frequency":[103],"bands,":[104],"then":[105],"details":[108],"are":[109],"enhanced":[110],"by":[111],"denoising":[112],"high-frequency":[113],"layers.":[114],"Experimental":[115],"results":[116],"on":[117,140],"MSEC":[119],"SICE":[121],"datasets":[122],"demonstrate":[123],"superiority":[125],"of":[126],"our":[127],"proposed":[128],"method":[129],"over":[130],"current":[131],"state-of-the-art":[132],"approaches.":[133],"Our":[134],"code":[135],"will":[136],"be":[137],"made":[138],"available":[139],"GitHub.":[141]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}