{"id":"https://openalex.org/W4401247194","doi":"https://doi.org/10.1109/tci.2024.3436716","title":"CMEFusion: Cross-Modal Enhancement and Fusion of FIR and Visible Images","display_name":"CMEFusion: Cross-Modal Enhancement and Fusion of FIR and Visible Images","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401247194","doi":"https://doi.org/10.1109/tci.2024.3436716"},"language":"en","primary_location":{"id":"doi:10.1109/tci.2024.3436716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2024.3436716","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2573-0436"],"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 Computational Imaging","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/A5104120776","display_name":"Xi Tong","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xi Tong","raw_affiliation_strings":["State Key Laboratory of Fluid Power and Mechatronic Systems and Laboratory of Advanced Manufacturing Technology of Zhejiang Province, School of Mechanical Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Fluid Power and Mechatronic Systems and Laboratory of Advanced Manufacturing Technology of Zhejiang Province, School of Mechanical Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085319024","display_name":"Xing Luo","orcid":"https://orcid.org/0000-0002-0879-1965"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Luo","raw_affiliation_strings":["State Key Laboratory of Fluid Power and Mechatronic Systems and Laboratory of Advanced Manufacturing Technology of Zhejiang Province, School of Mechanical Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Fluid Power and Mechatronic Systems and Laboratory of Advanced Manufacturing Technology of Zhejiang Province, School of Mechanical Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083250669","display_name":"Jiangxin Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangxin Yang","raw_affiliation_strings":["State Key Laboratory of Fluid Power and Mechatronic Systems and Laboratory of Advanced Manufacturing Technology of Zhejiang Province, School of Mechanical Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Fluid Power and Mechatronic Systems and Laboratory of Advanced Manufacturing Technology of Zhejiang Province, School of Mechanical Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100627570","display_name":"Yanpeng Cao","orcid":"https://orcid.org/0000-0002-3052-4820"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanpeng Cao","raw_affiliation_strings":["State Key Laboratory of Fluid Power and Mechatronic Systems and Laboratory of Advanced Manufacturing Technology of Zhejiang Province, School of Mechanical Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Fluid Power and Mechatronic Systems and Laboratory of Advanced Manufacturing Technology of Zhejiang Province, School of Mechanical Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5104120776"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.3208,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61033378,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"10","issue":null,"first_page":"1331","last_page":"1345"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9943000078201294,"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":0.9943000078201294,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9785000085830688,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9779000282287598,"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":0.6545553803443909},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.5704227089881897},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5410652160644531},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5126137137413025},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4807684123516083},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41757017374038696},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2538619339466095},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.1466345191001892}],"concepts":[{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.6545553803443909},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5704227089881897},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5410652160644531},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5126137137413025},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4807684123516083},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41757017374038696},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2538619339466095},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.1466345191001892},{"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},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tci.2024.3436716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2024.3436716","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2573-0436"],"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 Computational Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G139948627","display_name":null,"funder_award_id":"52275548","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3096496822","display_name":null,"funder_award_id":"52075485","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1999621311","https://openalex.org/W2001412060","https://openalex.org/W2052090926","https://openalex.org/W2054273865","https://openalex.org/W2097259623","https://openalex.org/W2113494422","https://openalex.org/W2128254161","https://openalex.org/W2153777140","https://openalex.org/W2519481857","https://openalex.org/W2560923441","https://openalex.org/W2588655935","https://openalex.org/W2589745805","https://openalex.org/W2734434825","https://openalex.org/W2767016721","https://openalex.org/W2788682721","https://openalex.org/W2802408754","https://openalex.org/W2891029880","https://openalex.org/W2948606054","https://openalex.org/W2963037989","https://openalex.org/W2998012573","https://openalex.org/W2998529071","https://openalex.org/W3034539499","https://openalex.org/W3035459165","https://openalex.org/W3035731588","https://openalex.org/W3126855404","https://openalex.org/W3133700567","https://openalex.org/W3175381456","https://openalex.org/W3196742104","https://openalex.org/W3206506760","https://openalex.org/W3213472242","https://openalex.org/W4206713196","https://openalex.org/W4220893768","https://openalex.org/W4220925767","https://openalex.org/W4283732315","https://openalex.org/W4286361941","https://openalex.org/W4308310215","https://openalex.org/W4312249431","https://openalex.org/W4312480149","https://openalex.org/W4312594135","https://openalex.org/W4312725970","https://openalex.org/W4313397691","https://openalex.org/W4313525659","https://openalex.org/W4313555022","https://openalex.org/W4317987737","https://openalex.org/W4328007208","https://openalex.org/W4379116886","https://openalex.org/W4379741379","https://openalex.org/W4386071513","https://openalex.org/W4386076504","https://openalex.org/W4386083029","https://openalex.org/W4390872797","https://openalex.org/W4390873531","https://openalex.org/W4391461082","https://openalex.org/W4399563881"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"The":[0],"fusion":[1,31,58,142,206,229],"of":[2,36,124,187],"far":[3],"infrared":[4],"(FIR)":[5],"and":[6,20,77,86,126,132,150,191,203,218,240],"visible":[7,49,87,133,202],"images":[8],"aims":[9],"to":[10,42,94,119,145,168,172],"generate":[11,56],"a":[12,71,104,115,139,161],"high-quality":[13],"composite":[14],"image":[15,40,75,107,205,228],"that":[16,224],"contains":[17],"salient":[18],"structures":[19],"abundant":[21],"texture":[22],"details":[23],"for":[24],"human":[25],"visual":[26,213,238],"perception.":[27],"However,":[28],"the":[29,44,121,170,174,178,184,196],"existing":[30],"methods":[32],"typically":[33],"fall":[34],"short":[35],"utilizing":[37],"complementary":[38,91,122],"source":[39],"characteristics":[41],"boost":[43],"features":[45,93,128],"extracted":[46,129],"from":[47,130],"degraded":[48],"or":[50,63],"FIR":[51,85,131,204],"images,":[52],"thus":[53],"they":[54],"cannot":[55],"satisfactory":[57],"results":[59],"in":[60,207,236],"adverse":[61],"lighting":[62],"weather":[64],"conditions.":[65],"In":[66,193],"this":[67,194],"paper,":[68],"we":[69,101,137,159],"propose":[70],"novel":[72],"Cross-Modal":[73],"multispectral":[74,97],"Enhancement":[76],"Fusion":[78],"framework":[79],"(CMEFusion),":[80],"which":[81,111],"adaptively":[82],"enhances":[83],"both":[84,237],"inputs":[88],"by":[89,233],"leveraging":[90],"cross-modal":[92,106],"further":[95],"facilitate":[96],"feature":[98],"aggregation.":[99],"Specifically,":[100],"first":[102],"present":[103,160],"new":[105],"enhancement":[108],"sub-network":[109,143],"(CMIENet),":[110],"is":[112],"built":[113],"on":[114,183],"CNN-Transformer":[116],"hybrid":[117],"architecture":[118],"perform":[120],"exchange":[123],"local-salient":[125],"global-contextual":[127],"modalities,":[134],"respectively.":[135],"Then,":[136],"design":[138],"gradient-content":[140],"differential":[141],"(GCDFNet)":[144],"progressively":[146],"integrate":[147],"decoupled":[148],"gradient":[149],"content":[151],"information":[152],"via":[153],"modified":[154],"central":[155],"difference":[156],"convolution.":[157],"Finally,":[158],"comprehensive":[162],"joint":[163],"enhancement-fusion":[164],"multi-term":[165],"loss":[166],"function":[167],"drive":[169],"model":[171,199],"narrow":[173],"optimization":[175],"gap":[176],"between":[177],"above-mentioned":[179],"two":[180],"sub-networks":[181],"based":[182],"self-supervised":[185],"aspects":[186],"exposure,":[188],"color,":[189],"structure,":[190],"intensity.":[192],"manner,":[195],"proposed":[197],"CMEFusion":[198,225],"facilitates":[200],"better-performing":[201],"an":[208],"end-to-end":[209],"way,":[210],"achieving":[211],"enhanced":[212],"quality":[214,239],"with":[215],"more":[216],"natural":[217],"realistic":[219],"appearances.":[220],"Extensive":[221],"experiments":[222],"validate":[223],"surpasses":[226],"state-of-the-art":[227],"algorithms,":[230],"as":[231],"evidenced":[232],"superior":[234],"performance":[235],"quantitative":[241],"evaluations.":[242]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
