{"id":"https://openalex.org/W2967626144","doi":"https://doi.org/10.1109/access.2019.2935006","title":"Multi-Scale Visual Attention Deep Convolutional Neural Network for Multi-Focus Image Fusion","display_name":"Multi-Scale Visual Attention Deep Convolutional Neural Network for Multi-Focus Image Fusion","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2967626144","doi":"https://doi.org/10.1109/access.2019.2935006","mag":"2967626144"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2935006","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2935006","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2019.2935006","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051316537","display_name":"Rui Lai","orcid":"https://orcid.org/0000-0002-8458-6429"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rui Lai","raw_affiliation_strings":["Department of Microelectronics, Xidian University, Xi\u2019an, China","Department of Microelectronics, Xidian University, Xi’an, China","ORCiD"],"raw_orcid":"https://orcid.org/0000-0002-8458-6429","affiliations":[{"raw_affiliation_string":"Department of Microelectronics, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Department of Microelectronics, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033052455","display_name":"Yongxue Li","orcid":"https://orcid.org/0000-0001-8224-3126"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongxue Li","raw_affiliation_strings":["Department of Microelectronics, Xidian University, Xi\u2019an, China","Department of Microelectronics, Xidian University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Microelectronics, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Department of Microelectronics, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041599593","display_name":"Juntao Guan","orcid":"https://orcid.org/0000-0002-1640-6799"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juntao Guan","raw_affiliation_strings":["Department of Microelectronics, Xidian University, Xi\u2019an, China","Department of Microelectronics, Xidian University, Xi’an, China","ORCiD"],"raw_orcid":"https://orcid.org/0000-0002-1640-6799","affiliations":[{"raw_affiliation_string":"Department of Microelectronics, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Department of Microelectronics, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045638113","display_name":"Ai Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ai Xiong","raw_affiliation_strings":["School of Control Engineering, Chengdu University of Information Technology, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Control Engineering, Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5051316537"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":9.7855,"has_fulltext":false,"cited_by_count":95,"citation_normalized_percentile":{"value":0.9817624,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"7","issue":null,"first_page":"114385","last_page":"114399"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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":1.0,"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":0.9957000017166138,"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":0.9934999942779541,"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/computer-science","display_name":"Computer science","score":0.8210301399230957},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7992575764656067},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7978264093399048},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.7760392427444458},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.7027191519737244},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6807341575622559},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.584195613861084},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5595850348472595},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5260441303253174},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5255129337310791},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5156387090682983},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.458745539188385},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4324924051761627},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4250679314136505},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.05469194054603577}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8210301399230957},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7992575764656067},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7978264093399048},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.7760392427444458},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.7027191519737244},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6807341575622559},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.584195613861084},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5595850348472595},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5260441303253174},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5255129337310791},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5156387090682983},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.458745539188385},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4324924051761627},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4250679314136505},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.05469194054603577},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2935006","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2935006","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f0a8a027c6a54971baf6098293c40465","is_oa":true,"landing_page_url":"https://doaj.org/article/f0a8a027c6a54971baf6098293c40465","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 114385-114399 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2935006","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2935006","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5863951253","display_name":null,"funder_award_id":"61674120","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6411212857","display_name":null,"funder_award_id":"U1709218","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6538997798","display_name":null,"funder_award_id":"61672131","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6839282591","display_name":null,"funder_award_id":"300102328110","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7843701004","display_name":null,"funder_award_id":"61571338","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8117968730","display_name":null,"funder_award_id":"JBG161113","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W123101483","https://openalex.org/W1985972181","https://openalex.org/W1994616697","https://openalex.org/W1994714721","https://openalex.org/W1996731385","https://openalex.org/W1999034606","https://openalex.org/W2002285735","https://openalex.org/W2010307644","https://openalex.org/W2025133197","https://openalex.org/W2026651590","https://openalex.org/W2028555274","https://openalex.org/W2034995331","https://openalex.org/W2039465985","https://openalex.org/W2048661006","https://openalex.org/W2058424987","https://openalex.org/W2059111949","https://openalex.org/W2064562647","https://openalex.org/W2083388902","https://openalex.org/W2089809277","https://openalex.org/W2093605161","https://openalex.org/W2103504761","https://openalex.org/W2116702374","https://openalex.org/W2117382194","https://openalex.org/W2133665775","https://openalex.org/W2146353910","https://openalex.org/W2164159666","https://openalex.org/W2168783614","https://openalex.org/W2473964400","https://openalex.org/W2508739063","https://openalex.org/W2522703671","https://openalex.org/W2559870345","https://openalex.org/W2767512561","https://openalex.org/W2769019355","https://openalex.org/W2777967210","https://openalex.org/W2792275277","https://openalex.org/W2808236703","https://openalex.org/W2904195252","https://openalex.org/W2913055446","https://openalex.org/W2921874570","https://openalex.org/W2929906481","https://openalex.org/W2941380944","https://openalex.org/W6721223673"],"related_works":["https://openalex.org/W2391745328","https://openalex.org/W2788731446","https://openalex.org/W4390606538","https://openalex.org/W2095903272","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969"],"abstract_inverted_index":{"To":[0],"realize":[1],"the":[2,17,23,35,38,76,79,92,95,102,117],"multi-focus":[3,40,110],"image":[4,20,111],"fusion":[5,36,41,96,112],"task,":[6],"an":[7],"end-to-end":[8],"deep":[9],"convolutional":[10],"neural":[11],"network":[12,77],"(DCNN)":[13],"model":[14],"that":[15,101],"produces":[16],"final":[18],"fused":[19],"directly":[21],"from":[22,55],"source":[24],"images":[25],"is":[26,72,105],"presented":[27],"in":[28,94,114],"this":[29],"paper.":[30],"In":[31],"order":[32],"to":[33,50,62,74,107],"promote":[34],"precision,":[37],"innovative":[39],"DCNN":[42],"introduces":[43],"a":[44,68],"multi-scale":[45],"feature":[46],"extraction":[47],"(MFE)":[48],"unit":[49,71],"collect":[51],"more":[52,64,82,86],"complementary":[53],"features":[54,88],"different":[56],"spatial":[57,65],"scales":[58],"and":[59,84,121],"fuse":[60],"them":[61],"excavate":[63],"information.":[66],"Moreover,":[67],"visual":[69,119],"attention":[70],"designed":[73],"help":[75],"locate":[78],"focused":[80],"region":[81],"accurately":[83],"pick":[85],"useful":[87],"for":[89],"perfectly":[90],"splicing":[91],"details":[93],"process.":[97],"Experimental":[98],"results":[99],"illustrate":[100],"proposed":[103],"method":[104],"superior":[106],"several":[108],"existing":[109],"methods":[113],"both":[115],"of":[116],"subjective":[118],"effects":[120],"objective":[122],"quality":[123],"metrics.":[124]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":19},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-05-04T08:30:34.212998","created_date":"2025-10-10T00:00:00"}