{"id":"https://openalex.org/W7105601188","doi":"https://doi.org/10.1109/tii.2025.3625605","title":"Event-Based Image Deblurring via Cross-Modal Interaction Fusion","display_name":"Event-Based Image Deblurring via Cross-Modal Interaction Fusion","publication_year":2025,"publication_date":"2025-11-13","ids":{"openalex":"https://openalex.org/W7105601188","doi":"https://doi.org/10.1109/tii.2025.3625605"},"language":null,"primary_location":{"id":"doi:10.1109/tii.2025.3625605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3625605","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","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":null,"display_name":"Qi Chu","orcid":"https://orcid.org/0009-0000-0365-9343"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qi Chu","raw_affiliation_strings":["College of Software, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of Software, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuehang Wang","orcid":"https://orcid.org/0000-0001-6793-6506"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuehang Wang","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yongji Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongji Zhang","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yu Jiang","orcid":"https://orcid.org/0000-0001-9025-3375"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Jiang","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I194450716"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.57145469,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":"2","first_page":"1292","last_page":"1301"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.6345000267028809,"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"}},"topics":[{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.6345000267028809,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.18529999256134033,"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/T11996","display_name":"Random lasers and scattering media","score":0.026900000870227814,"subfield":{"id":"https://openalex.org/subfields/3102","display_name":"Acoustics and Ultrasonics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/deblurring","display_name":"Deblurring","score":0.9797999858856201},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5931000113487244},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5759999752044678},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5654000043869019},{"id":"https://openalex.org/keywords/motion-blur","display_name":"Motion blur","score":0.5192000269889832},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4733999967575073},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4415000081062317},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4309999942779541},{"id":"https://openalex.org/keywords/machine-vision","display_name":"Machine vision","score":0.33320000767707825}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9797999858856201},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8180000185966492},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7940000295639038},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7613999843597412},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5931000113487244},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5759999752044678},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5654000043869019},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.5192000269889832},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4733999967575073},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4415000081062317},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4309999942779541},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.33320000767707825},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3319000005722046},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32690000534057617},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3133000135421753},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.30959999561309814},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.3077000081539154},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.30169999599456787},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.29910001158714294},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.29269999265670776},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.29030001163482666},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28949999809265137},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.28279998898506165},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.271699994802475},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.2669999897480011},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.25769999623298645},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.2533000111579895},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.25220000743865967},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.251800000667572}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2025.3625605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3625605","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5877495408058167,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G4238681261","display_name":null,"funder_award_id":"62072211","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":39,"referenced_works":["https://openalex.org/W206948248","https://openalex.org/W2036682493","https://openalex.org/W2167307343","https://openalex.org/W2508457857","https://openalex.org/W2560533888","https://openalex.org/W2964030969","https://openalex.org/W2965217508","https://openalex.org/W2970672284","https://openalex.org/W3035086889","https://openalex.org/W3035212231","https://openalex.org/W3040838455","https://openalex.org/W3091733155","https://openalex.org/W3097097310","https://openalex.org/W3176096490","https://openalex.org/W3188021906","https://openalex.org/W3202040256","https://openalex.org/W3203854346","https://openalex.org/W4200633942","https://openalex.org/W4214815024","https://openalex.org/W4221155341","https://openalex.org/W4225672218","https://openalex.org/W4226290276","https://openalex.org/W4236387761","https://openalex.org/W4289752563","https://openalex.org/W4312280868","https://openalex.org/W4312608394","https://openalex.org/W4312914040","https://openalex.org/W4312938066","https://openalex.org/W4322576906","https://openalex.org/W4382457774","https://openalex.org/W4386075642","https://openalex.org/W4388430459","https://openalex.org/W4390787921","https://openalex.org/W4392543517","https://openalex.org/W4401059542","https://openalex.org/W4402727547","https://openalex.org/W4402952320","https://openalex.org/W4413156604","https://openalex.org/W4415798267"],"related_works":[],"abstract_inverted_index":{"Image":[0],"deblurring":[1,104,109,114,197],"aims":[2],"to":[3,15,41,73,85,212],"restore":[4],"sharp":[5],"images":[6,84,135],"from":[7,187],"degraded":[8],"single-frame":[9],"images,":[10],"enabling":[11],"industrial":[12,20,59,242],"vision":[13,77],"systems":[14],"operate":[16],"reliably":[17],"in":[18,58,206],"complex":[19],"environments,":[21],"such":[22],"as":[23],"high-speed":[24],"and":[25,32,47,55,82,118,136,177,184,203,209,217,232],"low-light":[26],"conditions.":[27],"Event":[28],"cameras":[29,50],"offer":[30],"motion":[31,138],"edge":[33],"information":[34,120,133,139,156,166,186],"at":[35],"high":[36],"temporal":[37],"resolution,":[38],"allowing":[39],"us":[40],"overcome":[42],"the":[43,66,88,124,131,137,152,158,164,172,214],"challenges":[44],"red,":[45],"green,":[46],"blue":[48],"(RGB)":[49],"face":[51],"with":[52,200],"fast":[53],"movements":[54],"lighting":[56],"changes\u2014common":[57],"environments\u2014by":[60],"incorporating":[61],"these":[62],"cameras.":[63],"However,":[64],"considering":[65],"significant":[67],"differences":[68],"between":[69],"different":[70],"modalities,":[71],"how":[72],"construct":[74],"a":[75,94],"multimodal":[76,91],"system":[78],"based":[79],"on":[80],"events":[81,141,202],"RGB":[83],"jointly":[86],"enhance":[87],"quality":[89,147,180],"of":[90,134,140,154,174],"features":[92],"remains":[93],"topic":[95],"worth":[96],"exploring.":[97],"In":[98,191],"this":[99],"article,":[100],"we":[101,162,193],"propose":[102],"event-based":[103,108,196],"network":[105,110],"(EDNet),":[106],"an":[107,195],"that":[111,223],"achieves":[112],"efficient":[113],"performance":[115,216],"through":[116,142],"cross-modal":[117,143],"cross-stage":[119,165],"interaction.":[121],"We":[122],"introduce":[123],"image-event":[125],"interaction":[126],"fusion":[127],"module,":[128,168],"which":[129,169],"enhances":[130,171],"color":[132],"attention,":[144],"achieving":[145],"higher":[146],"feature":[148,189],"fusion.":[149],"To":[150],"address":[151],"lack":[153],"low-level":[155],"during":[157],"image":[159,175],"reconstruction":[160],"stage,":[161],"designed":[163],"integration":[167],"effectively":[170],"fidelity":[173],"details":[176],"overall":[178],"visual":[179],"by":[181],"integrating":[182],"texture":[183],"fine-grained":[185],"multiple":[188],"layers.":[190],"addition,":[192],"provide":[194],"test":[198],"benchmark":[199],"authentic":[201],"real":[204],"blur":[205],"both":[207],"indoor":[208],"outdoor":[210],"scenes":[211],"evaluate":[213],"algorithm's":[215],"generalization":[218,235],"capabilities.":[219],"Experimental":[220],"results":[221],"demonstrate":[222],"EDNet":[224],"outperforms":[225],"other":[226],"algorithms,":[227],"restoring":[228],"more":[229],"detailed":[230],"textures":[231],"exhibiting":[233],"superior":[234],"capabilities,":[236],"making":[237],"it":[238],"highly":[239],"suitable":[240],"for":[241],"applications.":[243]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-13T00:00:00"}