{"id":"https://openalex.org/W4403792102","doi":"https://doi.org/10.1145/3664647.3680738","title":"Efficient Perceiving Local Details via Adaptive Spatial-Frequency Information Integration for Multi-focus Image Fusion","display_name":"Efficient Perceiving Local Details via Adaptive Spatial-Frequency Information Integration for Multi-focus Image Fusion","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4403792102","doi":"https://doi.org/10.1145/3664647.3680738"},"language":"en","primary_location":{"id":"doi:10.1145/3664647.3680738","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3680738","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-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/A5067198376","display_name":"Jingjia Huang","orcid":"https://orcid.org/0009-0001-5527-4231"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingjia Huang","raw_affiliation_strings":["School of Informatics, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087539516","display_name":"Jr\u2010Wei Tu","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyan Tu","raw_affiliation_strings":["School of Informatics, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063779945","display_name":"Ge Meng","orcid":"https://orcid.org/0009-0002-1520-7533"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ge Meng","raw_affiliation_strings":["School of Informatics, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086977108","display_name":"Yingying Wang","orcid":"https://orcid.org/0009-0004-3748-1191"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingying Wang","raw_affiliation_strings":["Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088927833","display_name":"Yuhang Dong","orcid":"https://orcid.org/0009-0006-8974-8905"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhang Dong","raw_affiliation_strings":["School of Informatics, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068316504","display_name":"Xiaotong Tu","orcid":"https://orcid.org/0000-0002-7190-2429"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaotong Tu","raw_affiliation_strings":["School of Informatics, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052820597","display_name":"Xinghao Ding","orcid":"https://orcid.org/0000-0003-2288-5287"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinghao Ding","raw_affiliation_strings":["Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100772804","display_name":"Yue Huang","orcid":"https://orcid.org/0000-0002-3913-9400"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Huang","raw_affiliation_strings":["School of Informatics, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5067198376"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":1.0478,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.80801197,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"9350","last_page":"9359"},"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":0.9955999851226807,"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":0.9947999715805054,"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":0.7248780727386475},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6887497901916504},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6765220165252686},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6024933457374573},{"id":"https://openalex.org/keywords/spatial-frequency","display_name":"Spatial frequency","score":0.5888071656227112},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5683460831642151},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5635834336280823},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.442913681268692},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.07189109921455383}],"concepts":[{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.7248780727386475},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6887497901916504},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6765220165252686},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6024933457374573},{"id":"https://openalex.org/C100921725","wikidata":"https://www.wikidata.org/wiki/Q1650811","display_name":"Spatial frequency","level":2,"score":0.5888071656227112},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5683460831642151},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5635834336280823},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.442913681268692},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.07189109921455383},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3664647.3680738","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3680738","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1994616697","https://openalex.org/W1999034606","https://openalex.org/W2002285735","https://openalex.org/W2010307644","https://openalex.org/W2023353513","https://openalex.org/W2024750028","https://openalex.org/W2039465985","https://openalex.org/W2054273865","https://openalex.org/W2064562647","https://openalex.org/W2080059215","https://openalex.org/W2158598326","https://openalex.org/W2418999752","https://openalex.org/W2559870345","https://openalex.org/W2564443982","https://openalex.org/W2769019355","https://openalex.org/W2796321537","https://openalex.org/W2804112327","https://openalex.org/W2806456004","https://openalex.org/W2888846777","https://openalex.org/W2901340099","https://openalex.org/W2905307044","https://openalex.org/W2944930110","https://openalex.org/W2998529071","https://openalex.org/W3005272968","https://openalex.org/W3046194589","https://openalex.org/W3083574456","https://openalex.org/W3088623196","https://openalex.org/W3096609285","https://openalex.org/W3115492331","https://openalex.org/W3138516171","https://openalex.org/W3152765186","https://openalex.org/W3162209674","https://openalex.org/W3168649818","https://openalex.org/W3190808861","https://openalex.org/W4200388410","https://openalex.org/W4224088852","https://openalex.org/W4283732315","https://openalex.org/W4293731547","https://openalex.org/W4295834475","https://openalex.org/W4307726656","https://openalex.org/W4308979724","https://openalex.org/W4309730479","https://openalex.org/W4312812783","https://openalex.org/W4385063871","https://openalex.org/W4387968049","https://openalex.org/W4387968212","https://openalex.org/W4387969438","https://openalex.org/W4393158343"],"related_works":["https://openalex.org/W2919827088","https://openalex.org/W2725429296","https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969"],"abstract_inverted_index":{"Multi-focus":[0],"image":[1],"fusion":[2],"(MFIF)":[3],"aims":[4],"to":[5,49,53,121,125,148,155],"combine":[6],"multiple":[7,111],"images":[8,28,112],"with":[9,136],"different":[10,164],"focused":[11],"regions":[12],"into":[13],"a":[14,59,118,137],"single":[15],"all-in-focus":[16,159],"image.":[17,160],"Existing":[18],"unsupervised":[19,61,173],"deep":[20],"learning-based":[21],"methods":[22,174],"only":[23],"fuse":[24,149],"structural":[25],"information":[26,52,102,109,130,151,153],"of":[27,70,110,141,177],"in":[29,95,175],"the":[30,37,46,105,123,133,157,185],"spatial":[31],"domain,":[32],"neglecting":[33],"potential":[34],"solutions":[35],"from":[36],"frequency":[38],"domain":[39],"exploration.":[40],"In":[41,114],"this":[42],"paper,":[43],"we":[44,97,116,145],"make":[45],"first":[47],"attempt":[48],"integrate":[50],"spatial-frequency":[51,62,150],"achieve":[54],"high-quality":[55],"MFIF.":[56],"We":[57],"propose":[58],"novel":[60],"interaction":[63],"MFIF":[64],"network":[65,124],"named":[66],"SFIMFN,":[67],"which":[68],"consists":[69],"three":[71],"key":[72],"components:":[73],"Adaptive":[74],"Frequency":[75],"Domain":[76],"Information":[77,83],"Interaction":[78],"Module":[79,85,92],"(AFIM),":[80],"Ret-Attention-Based":[81],"Spatial":[82],"Extraction":[84],"(RASEM),":[86],"and":[87,107,179],"Invertible":[88],"Dual-domain":[89],"Feature":[90],"Fusion":[91],"(IDFM).":[93],"Specifically,":[94],"AFIM,":[96],"interactively":[98],"explore":[99],"global":[100],"contextual":[101],"by":[103,131],"combining":[104],"amplitude":[106],"phase":[108],"separately.":[113],"RASEM,":[115],"design":[117],"customized":[119],"transformer":[120],"encourage":[122],"capture":[126],"important":[127],"local":[128],"high-frequency":[129],"redesigning":[132],"self-attention":[134],"mechanism":[135],"bidirectional,":[138],"two-dimensional":[139],"form":[140],"explicit":[142],"decay.":[143],"Finally,":[144],"employ":[146],"IDFM":[147],"without":[152],"loss":[154],"generate":[156],"desired":[158],"Extensive":[161],"experiments":[162],"on":[163],"datasets":[165],"demonstrate":[166],"that":[167],"our":[168],"method":[169],"significantly":[170],"outperforms":[171],"state-of-the-art":[172],"terms":[176],"qualitative":[178],"quantitative":[180],"metrics":[181],"as":[182,184],"well":[183],"generalization":[186],"ability.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
