{"id":"https://openalex.org/W4399375697","doi":"https://doi.org/10.1109/icit58233.2024.10540891","title":"Dual-Branch Low-Light Image Enhancement via Spatial and Multi-Scale Frequency Domain Fusion","display_name":"Dual-Branch Low-Light Image Enhancement via Spatial and Multi-Scale Frequency Domain Fusion","publication_year":2024,"publication_date":"2024-03-25","ids":{"openalex":"https://openalex.org/W4399375697","doi":"https://doi.org/10.1109/icit58233.2024.10540891"},"language":"en","primary_location":{"id":"doi:10.1109/icit58233.2024.10540891","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icit58233.2024.10540891","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 Industrial Technology (ICIT)","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/A5113241124","display_name":"Huaiyao Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaiyao Wang","raw_affiliation_strings":["Insti. of Big Data Science & Industry, School of Computer & Information Tech., Shanxi University,Taiyuan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Insti. of Big Data Science & Industry, School of Computer & Information Tech., Shanxi University,Taiyuan,China","institution_ids":["https://openalex.org/I181877577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100432078","display_name":"Lu Chen","orcid":"https://orcid.org/0000-0002-2184-8268"},"institutions":[{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Chen","raw_affiliation_strings":["Insti. of Big Data Science & Industry, School of Computer & Information Tech., Shanxi University,Taiyuan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Insti. of Big Data Science & Industry, School of Computer & Information Tech., Shanxi University,Taiyuan,China","institution_ids":["https://openalex.org/I181877577"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109729038","display_name":"Zixin Guan","orcid":null},"institutions":[{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zixin Guan","raw_affiliation_strings":["Insti. of Big Data Science & Industry, School of Computer & Information Tech., Shanxi University,Taiyuan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Insti. of Big Data Science & Industry, School of Computer & Information Tech., Shanxi University,Taiyuan,China","institution_ids":["https://openalex.org/I181877577"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I181877577"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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":1.0,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9997000098228455,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9988999962806702,"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/pyramid","display_name":"Pyramid (geometry)","score":0.7542171478271484},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.7318575382232666},{"id":"https://openalex.org/keywords/spatial-frequency","display_name":"Spatial frequency","score":0.7000035643577576},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6834168434143066},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.675794243812561},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.5283739566802979},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5000853538513184},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4972861111164093},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47677165269851685},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4716555178165436},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.45415300130844116},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44753575325012207},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2043602168560028},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.19400805234909058},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.15490186214447021},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10621348023414612},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07222390174865723}],"concepts":[{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.7542171478271484},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.7318575382232666},{"id":"https://openalex.org/C100921725","wikidata":"https://www.wikidata.org/wiki/Q1650811","display_name":"Spatial frequency","level":2,"score":0.7000035643577576},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6834168434143066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.675794243812561},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.5283739566802979},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5000853538513184},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4972861111164093},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47677165269851685},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4716555178165436},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.45415300130844116},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44753575325012207},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2043602168560028},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.19400805234909058},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.15490186214447021},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10621348023414612},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07222390174865723},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icit58233.2024.10540891","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icit58233.2024.10540891","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 Industrial Technology (ICIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1095728313","display_name":null,"funder_award_id":"62373233,62003200","funder_id":"https://openalex.org/F4320320885","funder_display_name":"European Research Consortium for Informatics and Mathematics"}],"funders":[{"id":"https://openalex.org/F4320320885","display_name":"European Research Consortium for Informatics and Mathematics","ror":"https://ror.org/055zrhj18"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1580436348","https://openalex.org/W1686810756","https://openalex.org/W1987444808","https://openalex.org/W2054814429","https://openalex.org/W2089182596","https://openalex.org/W2102166818","https://openalex.org/W2133665775","https://openalex.org/W2150461190","https://openalex.org/W2560662850","https://openalex.org/W2566376500","https://openalex.org/W2949187370","https://openalex.org/W2963420686","https://openalex.org/W2981718299","https://openalex.org/W3017136408","https://openalex.org/W3035731588","https://openalex.org/W3083040138","https://openalex.org/W3107113662","https://openalex.org/W3119525307","https://openalex.org/W3120238879","https://openalex.org/W3120540810","https://openalex.org/W3121661546","https://openalex.org/W3125869362","https://openalex.org/W3166727904","https://openalex.org/W3173307371","https://openalex.org/W3174792937","https://openalex.org/W3214264009","https://openalex.org/W4221161877","https://openalex.org/W4312958254","https://openalex.org/W4322100000","https://openalex.org/W4386075513","https://openalex.org/W4387967967","https://openalex.org/W4388430610","https://openalex.org/W6755037456","https://openalex.org/W6845221098"],"related_works":["https://openalex.org/W4249847449","https://openalex.org/W44395729","https://openalex.org/W2765338038","https://openalex.org/W1496225612","https://openalex.org/W1523500768","https://openalex.org/W1566843515","https://openalex.org/W4292850564","https://openalex.org/W2181660907","https://openalex.org/W4386191828","https://openalex.org/W2884012640"],"abstract_inverted_index":{"The":[0,82],"images":[1],"captured":[2],"under":[3],"extreme":[4],"lighting":[5],"conditions":[6],"can":[7],"exhibit":[8],"severe":[9],"image":[10,27,49,89],"degradation,":[11],"which":[12],"significantly":[13],"impacts":[14],"the":[15,92,114,121],"performance":[16],"of":[17,129],"downstream":[18],"visual":[19],"tasks.":[20],"Existing":[21],"deep":[22],"learning-based":[23],"approaches":[24],"for":[25,47],"low-light":[26,48],"enhancement":[28,35,50],"have":[29],"primarily":[30],"focused":[31],"on":[32],"spatial":[33,55,76,83,110],"domain":[34,39,80,105,111],"while":[36,91],"neglecting":[37],"frequency":[38,57,79,94,104,115],"information.":[40,106],"Therefore,":[41],"we":[42],"introduce":[43],"a":[44,72],"novel":[45],"network":[46],"that":[51,120],"operates":[52],"in":[53,113,127],"both":[54,130],"and":[56,61,77,99,132],"domains":[58],"(multi-scale":[59],"pyramid":[60,98],"Fourier":[62,100],"transform)":[63],"simultaneously,":[64],"named":[65],"SMFNet.":[66],"Our":[67],"main":[68],"idea":[69],"involves":[70],"using":[71],"dual-branch":[73],"structure,":[74],"incorporating":[75],"multi-scale":[78,93],"branches.":[81],"branch":[84,95],"employs":[85],"SpaBlock":[86,108],"to":[87,102],"extract":[88,103],"features,":[90],"utilizes":[96],"Laplacian":[97],"transform":[101],"Furthermore,":[107],"supplements":[109],"information":[112],"branch.":[116],"Extensive":[117],"experiments":[118],"demonstrate":[119],"proposed":[122],"approach":[123],"yields":[124],"promising":[125],"results":[126],"terms":[128],"quantitative":[131],"qualitative":[133],"metrics":[134],"across":[135],"various":[136],"publicly":[137],"available":[138],"datasets.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}