{"id":"https://openalex.org/W3119514771","doi":"https://doi.org/10.1109/tim.2021.3072124","title":"UFA-FUSE: A Novel Deep Supervised and Hybrid Model for Multifocus Image Fusion","display_name":"UFA-FUSE: A Novel Deep Supervised and Hybrid Model for Multifocus Image Fusion","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3119514771","doi":"https://doi.org/10.1109/tim.2021.3072124","mag":"3119514771"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2021.3072124","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3072124","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2101.04506","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yongsheng Zang","orcid":"https://orcid.org/0000-0002-7355-0893"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongsheng Zang","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0002-7355-0893","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Dongming Zhou","orcid":"https://orcid.org/0000-0003-0139-9415"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongming Zhou","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0003-0139-9415","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Changcheng Wang","orcid":"https://orcid.org/0000-0001-9791-2134"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changcheng Wang","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0001-9791-2134","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Rencan Nie","orcid":"https://orcid.org/0000-0003-0568-1231"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rencan Nie","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0003-0568-1231","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yanbu Guo","orcid":"https://orcid.org/0000-0001-9532-2309"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanbu Guo","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0001-9532-2309","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I189210763"],"apc_list":null,"apc_paid":null,"fwci":2.0593,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.86819435,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"70","issue":null,"first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9958999752998352,"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":0.9958999752998352,"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":0.0008999999845400453,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.0008999999845400453,"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":0.7689999938011169},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.7623999714851379},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.620199978351593},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5756999850273132},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5486999750137329},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5367000102996826},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4659000039100647},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44609999656677246}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8327000141143799},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.7689999938011169},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.7623999714851379},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6705999970436096},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.620199978351593},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5756999850273132},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5486999750137329},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5367000102996826},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5331000089645386},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4659000039100647},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44609999656677246},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4097000062465668},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.3790999948978424},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.3418000042438507},{"id":"https://openalex.org/C2778971668","wikidata":"https://www.wikidata.org/wiki/Q5510284","display_name":"Fusion rules","level":4,"score":0.32179999351501465},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3068999946117401},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.304500013589859},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.2971999943256378},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28600001335144043},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.28049999475479126},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.258899986743927}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tim.2021.3072124","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3072124","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2101.04506","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2101.04506","pdf_url":"https://arxiv.org/pdf/2101.04506","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2101.04506","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2101.04506","pdf_url":"https://arxiv.org/pdf/2101.04506","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3863222636","display_name":"\u9762\u5411\u591a\u6e90\u56fe\u50cf\u878d\u5408\u8d21\u732e\u4f30\u8ba1\u7684\u591a\u6e90\u8109\u51b2\u4fe1\u606f\u4ea4\u6362\u7f16\u7801\u4e0e\u5206\u6570\u9636\u53d8\u5206\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61966037","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4828986780","display_name":"\u89c6\u89c9\u76ae\u5c42\u795e\u7ecf\u5143\u8109\u51b2\u540c\u6b65\u632f\u8361\u4fe1\u606f\u7684\u56fe\u50cf\u878d\u5408\u6280\u672f\u7814\u7a76","funder_award_id":"61365001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6968482730","display_name":"\u590d\u6742\u75be\u75c5\u7684\u57fa\u56e0\u8c03\u63a7\u7f51\u7edc\u5efa\u6a21\u6280\u672f\u7814\u7a76\u4e0e\u5e94\u7528","funder_award_id":"62066047","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7032097175","display_name":"\u89c6\u611f\u77e5\u6a21\u578b\u8109\u51b2\u8026\u5408\u795e\u7ecf\u7f51\u7edc\u7684\u56fe\u50cf\u7279\u5f81\u63d0\u53d6\u53ca\u5e94\u7528\u7814\u7a76","funder_award_id":"61463052","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"},{"id":"https://openalex.org/F4320324731","display_name":"Yunnan University","ror":"https://ror.org/0040axw97"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1562465485","https://openalex.org/W1984443872","https://openalex.org/W1994714721","https://openalex.org/W1999034606","https://openalex.org/W2002285735","https://openalex.org/W2010307644","https://openalex.org/W2014128063","https://openalex.org/W2015019993","https://openalex.org/W2020442368","https://openalex.org/W2025133197","https://openalex.org/W2026651590","https://openalex.org/W2028555274","https://openalex.org/W2031034144","https://openalex.org/W2039465985","https://openalex.org/W2048661006","https://openalex.org/W2054273865","https://openalex.org/W2062944056","https://openalex.org/W2093605161","https://openalex.org/W2116702374","https://openalex.org/W2133665775","https://openalex.org/W2168783614","https://openalex.org/W2179019672","https://openalex.org/W2266694576","https://openalex.org/W2559870345","https://openalex.org/W2562637781","https://openalex.org/W2740667773","https://openalex.org/W2744198280","https://openalex.org/W2752782242","https://openalex.org/W2773950452","https://openalex.org/W2777967210","https://openalex.org/W2798987894","https://openalex.org/W2801801216","https://openalex.org/W2808591023","https://openalex.org/W2810122825","https://openalex.org/W2884585870","https://openalex.org/W2901100349","https://openalex.org/W2906311574","https://openalex.org/W2911566719","https://openalex.org/W2939072870","https://openalex.org/W2963530785","https://openalex.org/W2963787388","https://openalex.org/W2966253851","https://openalex.org/W2984728496","https://openalex.org/W2999838674","https://openalex.org/W3007473102","https://openalex.org/W3010335025","https://openalex.org/W3016730347","https://openalex.org/W3039415429","https://openalex.org/W3083574456","https://openalex.org/W3083923056","https://openalex.org/W3088623196","https://openalex.org/W3095064240","https://openalex.org/W3213777593","https://openalex.org/W6631190155","https://openalex.org/W6639102338","https://openalex.org/W6679183523","https://openalex.org/W6783532966","https://openalex.org/W6790758390"],"related_works":[],"abstract_inverted_index":{"Traditional":[0],"and":[1,70,123,142,202],"deep":[2,50],"learning-based":[3],"fusion":[4,14,24,57,78,91,101,108,113,131,169,174,197,200,210],"methods":[5,29],"generated":[6,26,82],"the":[7,13,23,44,68,77,129,153,160,167,172,177,191],"intermediate":[8],"decision":[9],"map":[10],"to":[11,32,63,96,151,207],"obtain":[12,97],"image":[15,36,45,56,86,143,154,179,196],"through":[16],"a":[17,54,83,98,106,119,124],"series":[18],"of":[19,118],"postprocessing":[20,62],"procedures.":[21],"However,":[22],"results":[25,39,188],"by":[27,43,166,183],"these":[28,65],"are":[30,164,181],"easy":[31],"lose":[33],"some":[34],"source":[35,157],"details":[37],"or":[38],"in":[40,67,171],"artifacts.":[41],"Inspired":[42],"reconstruction":[46],"techniques":[47],"based":[48,110],"on":[49,111],"learning,":[51],"we":[52,80,103],"propose":[53],"multifocus":[55,85,195],"network":[58],"framework":[59],"without":[60],"any":[61],"solve":[64],"problems":[66],"end-to-end":[69],"supervised":[71],"learning":[72],"ways.":[73],"To":[74],"sufficiently":[75],"train":[76],"model,":[79],"have":[81],"large-scale":[84],"data":[87],"set":[88],"with":[89],"ground-truth":[90],"images.":[92,158],"What":[93],"is":[94,116],"more,":[95],"more":[99],"informative":[100],"image,":[102],"further":[104],"designed":[105],"novel":[107],"strategy":[109,170],"unity":[112],"attention,":[114],"which":[115],"composed":[117],"channel":[120],"attention":[121,126],"module":[122],"spatial":[125],"module.":[127],"Specifically,":[128],"proposed":[130,168,192],"approach":[132,193],"mainly":[133],"comprises":[134],"three":[135],"key":[136],"components:":[137],"feature":[138,140,173],"extraction,":[139],"fusion,":[141],"reconstruction.":[144],"We":[145],"first":[146],"utilize":[147],"seven":[148],"convolutional":[149,162,185],"blocks":[150],"extract":[152],"features":[155,163,180],"from":[156],"Then,":[159],"extracted":[161],"fused":[165,178],"layer.":[175],"Finally,":[176],"reconstructed":[182],"four":[184],"blocks.":[186],"Experimental":[187],"demonstrate":[189],"that":[190],"for":[194],"achieves":[198],"remarkable":[199],"performance":[201],"superior":[203],"time":[204],"efficiency":[205],"compared":[206],"19":[208],"state-of-the-art":[209],"methods.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2021-01-18T00:00:00"}
