{"id":"https://openalex.org/W4402979395","doi":"https://doi.org/10.1109/icme57554.2024.10688315","title":"BFMEF: Brightness-Free Multi-exposure Image Fusion via Adaptive Correction","display_name":"BFMEF: Brightness-Free Multi-exposure Image Fusion via Adaptive Correction","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402979395","doi":"https://doi.org/10.1109/icme57554.2024.10688315"},"language":"en","primary_location":{"id":"doi:10.1109/icme57554.2024.10688315","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10688315","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 Multimedia and Expo (ICME)","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/A5006040955","display_name":"Pan Mu","orcid":"https://orcid.org/0000-0002-5330-2673"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Pan Mu","raw_affiliation_strings":["Zhejiang University of Technology,College of Computer Science and Technology,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology,College of Computer Science and Technology,Hangzhou,China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109792161","display_name":"Binjia Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binjia Zhou","raw_affiliation_strings":["Zhejiang University of Technology,College of Computer Science and Technology,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology,College of Computer Science and Technology,Hangzhou,China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101729503","display_name":"Qirui Wang","orcid":"https://orcid.org/0000-0003-3653-2984"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qirui Wang","raw_affiliation_strings":["Zhejiang University of Technology,College of Computer Science and Technology,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology,College of Computer Science and Technology,Hangzhou,China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063237877","display_name":"Zhiying Du","orcid":"https://orcid.org/0009-0000-9155-1534"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiying Du","raw_affiliation_strings":["Zhejiang University of Technology,College of Computer Science and Technology,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology,College of Computer Science and Technology,Hangzhou,China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101722909","display_name":"Xiaoyan Wang","orcid":"https://orcid.org/0000-0002-4411-1429"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyan Wang","raw_affiliation_strings":["Zhejiang University of Technology,College of Computer Science and Technology,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology,College of Computer Science and Technology,Hangzhou,China","institution_ids":["https://openalex.org/I55712492"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5006040955"],"corresponding_institution_ids":["https://openalex.org/I55712492"],"apc_list":null,"apc_paid":null,"fwci":0.3383,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6422345,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9998000264167786,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9918000102043152,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9797000288963318,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/brightness","display_name":"Brightness","score":0.7073277235031128},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.636975884437561},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.565097451210022},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5172579884529114},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.463454931974411},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4505772888660431},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4340290427207947},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1510513722896576},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11394244432449341}],"concepts":[{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.7073277235031128},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.636975884437561},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.565097451210022},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5172579884529114},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.463454931974411},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4505772888660431},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4340290427207947},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1510513722896576},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11394244432449341},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme57554.2024.10688315","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10688315","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 Multimedia and Expo (ICME)","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":31,"referenced_works":["https://openalex.org/W828875492","https://openalex.org/W2009758395","https://openalex.org/W2054273865","https://openalex.org/W2074907730","https://openalex.org/W2088856702","https://openalex.org/W2296478018","https://openalex.org/W2590560192","https://openalex.org/W2783573276","https://openalex.org/W2783738834","https://openalex.org/W2789469977","https://openalex.org/W2890263162","https://openalex.org/W2990293450","https://openalex.org/W2998529071","https://openalex.org/W3016539359","https://openalex.org/W3122103149","https://openalex.org/W3129817135","https://openalex.org/W3131111098","https://openalex.org/W3213749391","https://openalex.org/W3216987090","https://openalex.org/W4210571497","https://openalex.org/W4210888109","https://openalex.org/W4283732315","https://openalex.org/W4292387365","https://openalex.org/W4319878464","https://openalex.org/W4321766599","https://openalex.org/W4385801215","https://openalex.org/W4386075488","https://openalex.org/W4386076504","https://openalex.org/W4387968013","https://openalex.org/W4387969227","https://openalex.org/W4389722441"],"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],"recent":[1],"years,":[2],"deep":[3],"learning":[4],"has":[5],"revolutionized":[6],"the":[7,15,75,81,83,89,93,114,121],"field":[8],"of":[9,17,80,126],"multi-exposure":[10],"image":[11],"fusion":[12,60],"(MEF),":[13],"overcoming":[14],"limitations":[16],"traditional":[18],"techniques":[19],"and":[20,26,41,128],"proving":[21],"more":[22],"effective":[23],"in":[24,124],"complex":[25],"diverse":[27],"scenarios.":[28],"However,":[29],"existing":[30],"MEF":[31],"methods":[32],"mainly":[33],"focus":[34],"on":[35],"paired":[36],"extreme":[37,50],"exposure":[38],"dual":[39],"inputs":[40,47],"pay":[42],"little":[43],"attention":[44],"to":[45],"single":[46],"or":[48],"other":[49],"conditions.":[51],"To":[52],"address":[53],"this":[54,56],"gap,":[55],"paper":[57],"introduces":[58],"a":[59,97,104],"architecture":[61],"that":[62,111],"can":[63],"adaptively":[64],"correct":[65],"various":[66],"input":[67,94],"forms":[68],"with":[69,113],"Auto-Gamma":[70],"Correction":[71],"(AGC).":[72],"By":[73],"leveraging":[74],"powerful":[76],"information":[77,91],"interaction":[78],"capability":[79],"Transformer,":[82],"Light-Guided":[84],"Module":[85],"(LGM)":[86],"effectively":[87],"extracts":[88],"brightness":[90],"from":[92],"images.":[95],"Furthermore,":[96],"specially":[98],"designed":[99],"color":[100],"enhancement":[101],"algorithm":[102],"obtains":[103],"high-saturation":[105],"fused":[106],"image.":[107],"Experimental":[108],"results":[109],"show":[110],"compared":[112],"most":[115],"advanced":[116],"methods,":[117],"our":[118],"method":[119],"achieves":[120],"best":[122],"effects":[123],"terms":[125],"visuals":[127],"performance.":[129]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}