{"id":"https://openalex.org/W4402508674","doi":"https://doi.org/10.1109/tcsvt.2024.3460172","title":"FreqGAN: Infrared and Visible Image Fusion via Unified Frequency Adversarial Learning","display_name":"FreqGAN: Infrared and Visible Image Fusion via Unified Frequency Adversarial Learning","publication_year":2024,"publication_date":"2024-09-13","ids":{"openalex":"https://openalex.org/W4402508674","doi":"https://doi.org/10.1109/tcsvt.2024.3460172"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2024.3460172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3460172","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5086585682","display_name":"Zhishe Wang","orcid":"https://orcid.org/0000-0002-0763-5901"},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhishe Wang","raw_affiliation_strings":["School of Applied Science, Taiyuan University of Science and Technology, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0002-0763-5901","affiliations":[{"raw_affiliation_string":"School of Applied Science, Taiyuan University of Science and Technology, Taiyuan, China","institution_ids":["https://openalex.org/I46305995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102711259","display_name":"Zhuoqun Zhang","orcid":"https://orcid.org/0000-0003-1573-0922"},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuoqun Zhang","raw_affiliation_strings":["School of Applied Science, Taiyuan University of Science and Technology, Taiyuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Applied Science, Taiyuan University of Science and Technology, Taiyuan, China","institution_ids":["https://openalex.org/I46305995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103663487","display_name":"Wuqiang Qi","orcid":"https://orcid.org/0009-0008-8429-1672"},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wuqiang Qi","raw_affiliation_strings":["School of Applied Science, Taiyuan University of Science and Technology, Taiyuan, China"],"raw_orcid":"https://orcid.org/0009-0008-8429-1672","affiliations":[{"raw_affiliation_string":"School of Applied Science, Taiyuan University of Science and Technology, Taiyuan, China","institution_ids":["https://openalex.org/I46305995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068675549","display_name":"Fengbao Yang","orcid":"https://orcid.org/0000-0002-9087-5796"},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengbao Yang","raw_affiliation_strings":["School of Information and Communication Engineering, North University of China, Taiyuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, North University of China, Taiyuan, China","institution_ids":["https://openalex.org/I135714990"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030623154","display_name":"Jiawei Xu","orcid":"https://orcid.org/0000-0001-9758-0563"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Xu","raw_affiliation_strings":["Key Laboratory of Intelligent Informatics for Safety and Emergency of Zhejiang Province, Wenzhou University, Wenzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9758-0563","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Informatics for Safety and Emergency of Zhejiang Province, Wenzhou University, Wenzhou, China","institution_ids":["https://openalex.org/I146620803"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5086585682"],"corresponding_institution_ids":["https://openalex.org/I46305995"],"apc_list":null,"apc_paid":null,"fwci":19.3813,"has_fulltext":false,"cited_by_count":65,"citation_normalized_percentile":{"value":0.99522596,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"35","issue":"1","first_page":"728","last_page":"740"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9660000205039978,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9538999795913696,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6388530731201172},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6327556371688843},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.6072494983673096},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5934717059135437},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5135193467140198},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5110486745834351},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.46623775362968445},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42897987365722656},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34175175428390503},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.12307682633399963},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11156114935874939}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6388530731201172},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6327556371688843},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.6072494983673096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5934717059135437},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5135193467140198},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5110486745834351},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.46623775362968445},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42897987365722656},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34175175428390503},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.12307682633399963},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11156114935874939},{"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/tcsvt.2024.3460172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3460172","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1010467271","display_name":null,"funder_award_id":"LY23F030001","funder_id":"https://openalex.org/F4320317779","funder_display_name":"Zhejiang\u00a0Provincial\u00a0Postdoctoral\u00a0Science\u00a0Foundation"},{"id":"https://openalex.org/G2609112615","display_name":null,"funder_award_id":"LY23F030001","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G8005839843","display_name":null,"funder_award_id":"202203021221144","funder_id":"https://openalex.org/F4320322666","funder_display_name":"Natural Science Foundation of Shanxi Province"}],"funders":[{"id":"https://openalex.org/F4320317779","display_name":"Zhejiang\u00a0Provincial\u00a0Postdoctoral\u00a0Science\u00a0Foundation","ror":null},{"id":"https://openalex.org/F4320322666","display_name":"Natural Science Foundation of Shanxi Province","ror":null},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1563899710","https://openalex.org/W1580436348","https://openalex.org/W1708141795","https://openalex.org/W1756233291","https://openalex.org/W1997596006","https://openalex.org/W2054273865","https://openalex.org/W2153777140","https://openalex.org/W2752782242","https://openalex.org/W2798987894","https://openalex.org/W2912147220","https://openalex.org/W2963037989","https://openalex.org/W2978622574","https://openalex.org/W2994720379","https://openalex.org/W3007891240","https://openalex.org/W3011768656","https://openalex.org/W3024215945","https://openalex.org/W3121751387","https://openalex.org/W3143068962","https://openalex.org/W3185043317","https://openalex.org/W3198582484","https://openalex.org/W4206390057","https://openalex.org/W4220893768","https://openalex.org/W4224937218","https://openalex.org/W4225852025","https://openalex.org/W4283732315","https://openalex.org/W4285600783","https://openalex.org/W4312594135","https://openalex.org/W4313525659","https://openalex.org/W4313555022","https://openalex.org/W4317987737","https://openalex.org/W4321021766","https://openalex.org/W4366352735","https://openalex.org/W4386076504","https://openalex.org/W4387805867","https://openalex.org/W4388706355","https://openalex.org/W4390872797","https://openalex.org/W4390873110","https://openalex.org/W4398765085","https://openalex.org/W4400132802","https://openalex.org/W4402716347"],"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":{"Traditional":[0],"fusion":[1,169],"methods":[2],"based":[3],"on":[4],"deep":[5],"learning":[6,38],"mainly":[7],"employ":[8],"convolutional":[9],"or":[10,16],"self-attention":[11],"operations":[12],"to":[13,22,53,135,151,186],"model":[14],"local":[15],"global":[17],"dependencies,":[18],"which":[19,91],"often":[20],"lead":[21],"the":[23,73,104,133,155],"oversight":[24],"of":[25,96,157,168],"frequency-domain":[26],"information.":[27,159],"To":[28],"address":[29],"this":[30],"deficiency,":[31],"we":[32,84,113],"introduce":[33],"a":[34,45,86,93,146,165,182],"unified":[35],"frequency":[36,60,88,106,129,139,158],"adversarial":[37],"network,":[39],"termed":[40],"FreqGAN.":[41],"Our":[42,160],"method":[43],"involves":[44],"frequency-compensated":[46],"generator":[47,134],"that":[48],"employs":[49],"discrete":[50],"wavelet":[51],"transformation":[52],"decompose":[54],"encoded":[55],"spatial":[56],"features":[57],"into":[58,72],"multiple":[59,100],"bands.":[61],"Leveraging":[62],"skip":[63],"connections,":[64],"low":[65],"and":[66,75,81,102,171],"high-frequency":[67],"components":[68],"are":[69,120,193],"respectively":[70],"directed":[71],"encoder":[74],"decoder,":[76],"compensating":[77],"for":[78,126],"additional":[79],"outline":[80],"detail.":[82],"Moreover,":[83],"construct":[85],"hybrid":[87],"aggregation":[89],"module,":[90],"enables":[92],"progressive":[94],"optimization":[95],"activity":[97],"levels":[98],"across":[99],"scales":[101],"makes":[103],"various":[105],"bands":[107],"correlated.":[108],"Complementing":[109],"our":[110],"generative":[111],"model,":[112],"devise":[114],"dual":[115],"frequency-constrained":[116],"discriminators.":[117],"These":[118],"discriminators":[119],"tasked":[121],"with":[122],"dynamically":[123],"adjusting":[124],"weights":[125],"each":[127],"input":[128],"band,":[130],"thereby":[131],"obligating":[132],"accurately":[136],"reconstruct":[137],"salient":[138],"information":[140],"from":[141],"different":[142],"modality":[143],"images.":[144],"Additionally,":[145],"frequency-supervised":[147],"function":[148],"is":[149],"formulated":[150],"further":[152],"safeguard":[153],"against":[154],"loss":[156],"comprehensive":[161],"experimental":[162],"evaluations,":[163],"encompassing":[164],"wide":[166],"range":[167],"tasks":[170],"subsequent":[172],"applications,":[173],"distinctly":[174],"highlight":[175],"FreqGAN\u2019s":[176],"superior":[177],"performance,":[178],"establishing":[179],"it":[180],"as":[181],"frontrunner":[183],"in":[184],"comparison":[185],"existing":[187],"state-of-the-art":[188],"alternatives.":[189],"The":[190],"source":[191],"codes":[192],"forthcoming":[194],"at:":[195],"<uri":[196],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[197],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/Zhishe-Wang/FreqGAN</uri>.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":17},{"year":2025,"cited_by_count":45},{"year":2024,"cited_by_count":3}],"updated_date":"2026-05-14T08:36:36.166977","created_date":"2025-10-10T00:00:00"}