{"id":"https://openalex.org/W4402352856","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650454","title":"A Multi-Exposure Generation and Fusion Method for Low-Light Image Enhancement","display_name":"A Multi-Exposure Generation and Fusion Method for Low-Light Image Enhancement","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402352856","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650454"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650454","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650454","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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/A5010131867","display_name":"Haiyan Jin","orcid":"https://orcid.org/0000-0003-3742-4029"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haiyan Jin","raw_affiliation_strings":["Xi&#x2019;an University of Technology,Faculty of Computer Science and Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an University of Technology,Faculty of Computer Science and Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100408793","display_name":"Long Li","orcid":"https://orcid.org/0000-0003-0472-7314"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Long Li","raw_affiliation_strings":["Xi&#x2019;an University of Technology,Faculty of Computer Science and Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an University of Technology,Faculty of Computer Science and Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089049162","display_name":"Haonan Su","orcid":"https://orcid.org/0000-0002-5481-1082"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haonan Su","raw_affiliation_strings":["Xi&#x2019;an University of Technology,Faculty of Computer Science and Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an University of Technology,Faculty of Computer Science and Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046450643","display_name":"Yuanlin Zhang","orcid":"https://orcid.org/0000-0003-0960-3636"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"YuanLin Zhang","raw_affiliation_strings":["Xi&#x2019;an University of Technology,Faculty of Computer Science and Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an University of Technology,Faculty of Computer Science and Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045601614","display_name":"Zhaolin Xiao","orcid":"https://orcid.org/0000-0003-2457-5944"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"ZhaoLin Xiao","raw_affiliation_strings":["Xi&#x2019;an University of Technology,Faculty of Computer Science and Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an University of Technology,Faculty of Computer Science and Engineering","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100372419","display_name":"Bin Wang","orcid":"https://orcid.org/0000-0003-3524-8594"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bin Wang","raw_affiliation_strings":["Xi&#x2019;an University of Technology,Faculty of Computer Science and Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an University of Technology,Faculty of Computer Science and Engineering","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":0.9993000030517578,"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":0.9976000189781189,"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/image-fusion","display_name":"Image fusion","score":0.5919715762138367},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.586082398891449},{"id":"https://openalex.org/keywords/image-enhancement","display_name":"Image enhancement","score":0.571071982383728},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5613690614700317},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5598888993263245},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5278332829475403},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42357584834098816}],"concepts":[{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5919715762138367},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.586082398891449},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.571071982383728},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5613690614700317},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5598888993263245},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5278332829475403},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42357584834098816},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10650454","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650454","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1580436348","https://openalex.org/W1987444808","https://openalex.org/W2038713671","https://openalex.org/W2054814429","https://openalex.org/W2056370875","https://openalex.org/W2076205488","https://openalex.org/W2102166818","https://openalex.org/W2116973876","https://openalex.org/W2133665775","https://openalex.org/W2142673060","https://openalex.org/W2194775991","https://openalex.org/W2468596194","https://openalex.org/W2566376500","https://openalex.org/W2612911136","https://openalex.org/W2780108394","https://openalex.org/W2783573276","https://openalex.org/W2905544033","https://openalex.org/W2948354154","https://openalex.org/W2949187370","https://openalex.org/W2981718299","https://openalex.org/W2981847167","https://openalex.org/W3011440129","https://openalex.org/W3015044426","https://openalex.org/W3034347506","https://openalex.org/W3035731588","https://openalex.org/W3042993386","https://openalex.org/W3100618669","https://openalex.org/W3105273993","https://openalex.org/W3121661546","https://openalex.org/W3125869362","https://openalex.org/W3134649899","https://openalex.org/W3151134227","https://openalex.org/W3174792937","https://openalex.org/W3194280054","https://openalex.org/W3204478975","https://openalex.org/W4200298995","https://openalex.org/W4214745154","https://openalex.org/W4312249431","https://openalex.org/W4312725970","https://openalex.org/W4372259883","https://openalex.org/W4382240242","https://openalex.org/W6754146604"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2095903272","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969","https://openalex.org/W2284201331"],"abstract_inverted_index":{"In":[0],"the":[1,16,60,82,86,99,111,126,132,147,155,164],"low":[2],"light":[3],"image":[4],"enhancement,":[5],"single":[6],"exposure":[7,30,39,65,70,78,104],"images":[8,40,75,105,113],"contains":[9],"a":[10,28,53],"limited":[11],"dynamic":[12],"range,":[13],"which":[14,36,58,162],"hinders":[15],"restoration":[17],"of":[18,101],"contrast":[19],"and":[20,32,41,45,124,128,145,182,187],"texture.":[21],"To":[22],"address":[23],"these":[24,48],"problems,":[25],"we":[26,51],"propose":[27,52,154],"multi":[29,38,69,103],"generation":[31],"fusion":[33,44,151],"method":[34,175],"(MEGF)":[35],"simulates":[37],"perform":[42],"feature":[43,100,134],"enhancement":[46,149],"on":[47,68,81,150,185],"images.":[49],"First,":[50],"Multi-Exposure":[54,90],"Generation":[55],"(MEG)":[56],"method,":[57],"constructs":[59],"Gaussian":[61],"Distribution":[62],"for":[63,142,167],"each":[64],"level":[66],"based":[67,80,89],"datasets.":[71,189],"MEG":[72],"can":[73],"generate":[74],"with":[76],"different":[77],"levels":[79],"constructed":[83],"distribution.":[84],"Then,":[85],"Perceptual":[87],"Importance":[88],"Feature":[91,120],"Enhancement":[92,121],"(PIMEFE)":[93],"block":[94,141,161],"is":[95],"developed":[96],"to":[97,116,137],"fuse":[98],"generated":[102,112],"using":[106],"VGG-16":[107],"network.":[108],"Before":[109],"fusion,":[110],"are":[114,135],"input":[115,136],"Multi":[117],"Scale":[118],"Recursive":[119,158],"(MSRFE)":[122],"blocks":[123],"obtain":[125],"denoised":[127],"enhanced":[129],"features.":[130,152],"Finally,":[131],"fused":[133],"Curve":[138],"Adjustment":[139],"(CA)":[140],"fine":[143],"tuning":[144],"provide":[146],"color":[148],"We":[153],"Multiple":[156],"Exposure":[157],"Fusion":[159],"(MERF)":[160],"estimates":[163],"adjusting":[165],"factors":[166],"CA":[168],"block.":[169],"Experimental":[170],"results":[171],"demonstrate":[172],"that":[173],"our":[174],"outperforms":[176],"other":[177],"techniques":[178],"in":[179],"both":[180],"subjective":[181],"objective":[183],"evaluations":[184],"real":[186],"synthetic":[188]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
