{"id":"https://openalex.org/W4392979947","doi":"https://doi.org/10.1109/tmm.2024.3379883","title":"OFPF-MEF: An Optical Flow Guided Dynamic Multi-Exposure Image Fusion Network With Progressive Frequencies Learning","display_name":"OFPF-MEF: An Optical Flow Guided Dynamic Multi-Exposure Image Fusion Network With Progressive Frequencies Learning","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4392979947","doi":"https://doi.org/10.1109/tmm.2024.3379883"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2024.3379883","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3379883","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-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/A5101178107","display_name":"Wenhui Hong","orcid":"https://orcid.org/0009-0004-8713-6329"},"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":true,"raw_author_name":"Wenhui Hong","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0004-8713-6329","affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018388825","display_name":"Hao Zhang","orcid":"https://orcid.org/0000-0001-5467-3428"},"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":"Hao Zhang","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-5467-3428","affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040010053","display_name":"Jiayi Ma","orcid":"https://orcid.org/0000-0003-3264-3265"},"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":"Jiayi Ma","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-3264-3265","affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101178107"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":1.1478,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.77975922,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"26","issue":null,"first_page":"8581","last_page":"8595"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9991000294685364,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9983999729156494,"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/computer-science","display_name":"Computer science","score":0.7899423837661743},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6996774077415466},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6934599876403809},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.6638785600662231},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5955290794372559},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5299908518791199},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.511711835861206},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.47881823778152466},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47262001037597656},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4457710385322571},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34467044472694397},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3403046727180481},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1999495029449463},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08349549770355225}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7899423837661743},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6996774077415466},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6934599876403809},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.6638785600662231},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5955290794372559},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5299908518791199},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.511711835861206},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.47881823778152466},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47262001037597656},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4457710385322571},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34467044472694397},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3403046727180481},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1999495029449463},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08349549770355225},{"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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2024.3379883","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3379883","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G415731887","display_name":null,"funder_award_id":"62276192","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"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":52,"referenced_works":["https://openalex.org/W828875492","https://openalex.org/W1975837059","https://openalex.org/W1991970753","https://openalex.org/W2051290159","https://openalex.org/W2051596736","https://openalex.org/W2083610878","https://openalex.org/W2127709939","https://openalex.org/W2136001449","https://openalex.org/W2143736264","https://openalex.org/W2163932540","https://openalex.org/W2296478018","https://openalex.org/W2590560192","https://openalex.org/W2607202125","https://openalex.org/W2621185179","https://openalex.org/W2746235183","https://openalex.org/W2783573276","https://openalex.org/W2888796286","https://openalex.org/W2890107857","https://openalex.org/W2890263162","https://openalex.org/W2947338419","https://openalex.org/W2948618171","https://openalex.org/W2963530785","https://openalex.org/W2963787388","https://openalex.org/W2963920537","https://openalex.org/W2990293450","https://openalex.org/W2998012573","https://openalex.org/W3015967052","https://openalex.org/W3016539359","https://openalex.org/W3035441328","https://openalex.org/W3037597679","https://openalex.org/W3046194589","https://openalex.org/W3096041260","https://openalex.org/W3109908659","https://openalex.org/W3131111098","https://openalex.org/W3164503920","https://openalex.org/W3166023800","https://openalex.org/W3181367324","https://openalex.org/W3207918547","https://openalex.org/W3213749391","https://openalex.org/W3216987090","https://openalex.org/W4210571497","https://openalex.org/W4224299924","https://openalex.org/W4283732315","https://openalex.org/W4292387365","https://openalex.org/W4295241286","https://openalex.org/W4310736724","https://openalex.org/W4312750622","https://openalex.org/W4313267411","https://openalex.org/W4321766599","https://openalex.org/W4321794021","https://openalex.org/W4385245566","https://openalex.org/W6750469568"],"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],"this":[1],"paper,":[2],"we":[3,72,129],"propose":[4],"a":[5,152,190,196],"novel":[6],"optical":[7,28,68,75,95],"flow":[8,29,69,76],"guided":[9,91],"network":[10,86,134],"with":[11,199],"progressive":[12,34,100],"frequencies":[13,35,101],"learning,":[14],"achieving":[15],"promising":[16],"dynamic":[17,222],"multi-exposure":[18],"image":[19,198],"fusion.":[20],"Specifically,":[21],"the":[22,27,33,39,44,48,54,60,67,74,83,93,99,124,131,148,156,168,180,216,235],"proposed":[23],"method":[24,214,226],"consists":[25],"of":[26,234],"alignment":[30,70,90],"block":[31],"and":[32,50,53,63,81,106,120,135,141,177,182,202,221],"fusion":[36,102,127,159,185],"block,":[37,71,103],"where":[38],"former":[40],"is":[41,56,164,227],"to":[42,58,87,138,146,166,194],"alleviate":[43],"ghost":[45],"caused":[46],"by":[47,92],"camera":[49],"object":[51],"motions,":[52],"latter":[55],"dedicated":[57],"synthesizing":[59],"desired":[61,197],"color":[62,104,149],"details.":[64,204],"First,":[65],"in":[66,98,111,229],"estimate":[73],"between":[77],"two":[78,112],"source":[79,172],"images":[80],"utilize":[82],"deformable":[84],"convolutional":[85,132],"achieve":[88],"spatial":[89],"estimated":[94],"flow.":[96],"Second,":[97],"correction":[105,150],"details":[107,170],"preservation":[108],"are":[109,187],"implemented":[110],"gradual":[113],"phases,":[114],"<italic":[115],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[116],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">i.e.</i>":[117],",":[118],"low":[119,125,181],"high":[121,157,183],"frequencies.":[122],"For":[123,155],"frequency":[126,158,184],"phase,":[128,160],"combine":[130],"neural":[133],"swin":[136],"transformer":[137],"capture":[139],"local":[140],"global":[142],"features,":[143],"so":[144],"as":[145],"consider":[147],"from":[151,171],"complete":[153],"perspective.":[154],"an":[161],"attention":[162],"gate":[163],"designed":[165],"evaluate":[167],"important":[169],"images,":[173],"bringing":[174],"fewer":[175],"artifacts":[176],"halos.":[178],"Finally,":[179],"phases":[186],"connected":[188],"through":[189],"residual":[191],"mapping":[192],"strategy":[193],"generate":[195],"reasonable":[200],"colors":[201],"rich":[203],"Extensive":[205],"experiments":[206],"on":[207],"publicly":[208],"available":[209],"datasets":[210],"reveal":[211],"that":[212],"our":[213,225],"outperforms":[215],"state-of-the-art":[217,236],"for":[218],"both":[219],"static":[220],"scenarios.":[223],"Moreover,":[224],"superior":[228],"running":[230],"efficiency":[231],"over":[232],"most":[233],"methods.":[237]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-05-08T15:41:06.802602","created_date":"2025-10-10T00:00:00"}
