{"id":"https://openalex.org/W4405779039","doi":"https://doi.org/10.1109/tmm.2024.3521805","title":"VB-KGN: Variational Bayesian Kernel Generation Networks for Motion Image Deblurring","display_name":"VB-KGN: Variational Bayesian Kernel Generation Networks for Motion Image Deblurring","publication_year":2024,"publication_date":"2024-12-25","ids":{"openalex":"https://openalex.org/W4405779039","doi":"https://doi.org/10.1109/tmm.2024.3521805"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2024.3521805","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3521805","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5100738026","display_name":"Ying Fu","orcid":"https://orcid.org/0000-0002-7358-6167"},"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":"Ying Fu","raw_affiliation_strings":["Chengdu University of Information Technology, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-7358-6167","affiliations":[{"raw_affiliation_string":"Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002983042","display_name":"Xianchen Zhu","orcid":"https://orcid.org/0009-0009-0720-1407"},"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":"Xinyu Zhu","raw_affiliation_strings":["Chengdu University of Information Technology, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0009-0720-1407","affiliations":[{"raw_affiliation_string":"Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100428845","display_name":"Xiaojie Li","orcid":"https://orcid.org/0000-0001-7429-3772"},"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":"Xiaojie Li","raw_affiliation_strings":["Chengdu University of Information Technology, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-7429-3772","affiliations":[{"raw_affiliation_string":"Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xin Wang","orcid":"https://orcid.org/0000-0002-7528-2407"},"institutions":[{"id":"https://openalex.org/I113508548","display_name":"Albany State University","ror":"https://ror.org/01vme4277","country_code":"US","type":"education","lineage":["https://openalex.org/I113508548"]},{"id":"https://openalex.org/I392282","display_name":"University at Albany, State University of New York","ror":"https://ror.org/012zs8222","country_code":"US","type":"education","lineage":["https://openalex.org/I392282"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xin Wang","raw_affiliation_strings":["College of Integrated Health Sciences and the AI Plus Institute, the University at Albany, SUNY, NY, USA","University at Albany. State University of New York, New York, USA"],"raw_orcid":"https://orcid.org/0000-0002-7528-2407","affiliations":[{"raw_affiliation_string":"College of Integrated Health Sciences and the AI Plus Institute, the University at Albany, SUNY, NY, USA","institution_ids":["https://openalex.org/I392282"]},{"raw_affiliation_string":"University at Albany. State University of New York, New York, USA","institution_ids":["https://openalex.org/I113508548","https://openalex.org/I392282"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108691340","display_name":"Xi Wu","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":"Xi Wu","raw_affiliation_strings":["Chengdu University of Information Technology, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100687829","display_name":"Shu Hu","orcid":"https://orcid.org/0000-0003-1446-4140"},"institutions":[{"id":"https://openalex.org/I135191193","display_name":"University of Indianapolis","ror":"https://ror.org/052133d12","country_code":"US","type":"education","lineage":["https://openalex.org/I135191193"]},{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]},{"id":"https://openalex.org/I4388446363","display_name":"Purdue University in Indianapolis","ror":"https://ror.org/0482ksk80","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219","https://openalex.org/I4388446363"]},{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shu Hu","raw_affiliation_strings":["Purdue University, West Lafayette, IN, USA","Purdue University, Indianapolis, USA"],"raw_orcid":"https://orcid.org/0000-0003-1446-4140","affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Purdue University, Indianapolis, USA","institution_ids":["https://openalex.org/I135191193","https://openalex.org/I4388446363","https://openalex.org/I55769427"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yi Wu","orcid":"https://orcid.org/0000-0003-3838-7418"},"institutions":[{"id":"https://openalex.org/I58064216","display_name":"Bellevue University","ror":"https://ror.org/00b7ckn36","country_code":"US","type":"education","lineage":["https://openalex.org/I58064216"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi Wu","raw_affiliation_strings":["Lucid Motors, Bellevue, CA, USA","Lucid Motors, California, USA"],"raw_orcid":"https://orcid.org/0000-0003-3838-7418","affiliations":[{"raw_affiliation_string":"Lucid Motors, Bellevue, CA, USA","institution_ids":["https://openalex.org/I58064216"]},{"raw_affiliation_string":"Lucid Motors, California, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Siwei Lyu","orcid":"https://orcid.org/0000-0002-0992-685X"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Siwei Lyu","raw_affiliation_strings":["University at Buffalo State University of New York, Buffalo, NY, USA","University at Buffalo. State University of New York, New York, USA"],"raw_orcid":"https://orcid.org/0000-0002-0992-685X","affiliations":[{"raw_affiliation_string":"University at Buffalo State University of New York, Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"University at Buffalo. State University of New York, New York, USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"last","author":{"id":null,"display_name":"Wei Liu","orcid":"https://orcid.org/0000-0001-6351-9019"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-6351-9019","affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":10,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2495,"currency":"USD","value_usd":2495},"apc_paid":null,"fwci":1.0687,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.77079296,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"27","issue":null,"first_page":"2028","last_page":"2042"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9883000254631042,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9836999773979187,"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/deblurring","display_name":"Deblurring","score":0.9564435482025146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7960919141769409},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7071594595909119},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6164727807044983},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5139545798301697},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.493085116147995},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.428234338760376},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42608046531677246},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.4149896204471588},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3368052840232849},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.30753570795059204},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.26782816648483276},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13466408848762512},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11319312453269958}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9564435482025146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7960919141769409},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7071594595909119},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6164727807044983},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5139545798301697},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.493085116147995},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.428234338760376},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42608046531677246},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.4149896204471588},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3368052840232849},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.30753570795059204},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.26782816648483276},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13466408848762512},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11319312453269958},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2024.3521805","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3521805","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.47999998927116394}],"awards":[{"id":"https://openalex.org/G1965710864","display_name":null,"funder_award_id":"24Z990200676","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4129544981","display_name":null,"funder_award_id":"62402318","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":82,"referenced_works":["https://openalex.org/W1457323852","https://openalex.org/W1598936309","https://openalex.org/W1604428010","https://openalex.org/W1861492603","https://openalex.org/W1916935112","https://openalex.org/W2044005793","https://openalex.org/W2058065490","https://openalex.org/W2064076387","https://openalex.org/W2106923440","https://openalex.org/W2127498532","https://openalex.org/W2129247234","https://openalex.org/W2194775991","https://openalex.org/W2294970404","https://openalex.org/W2299372955","https://openalex.org/W2300657047","https://openalex.org/W2312461778","https://openalex.org/W2319561215","https://openalex.org/W2364079053","https://openalex.org/W2465552163","https://openalex.org/W2468652750","https://openalex.org/W2474628748","https://openalex.org/W2560533888","https://openalex.org/W2564023417","https://openalex.org/W2565639579","https://openalex.org/W2738579427","https://openalex.org/W2755453501","https://openalex.org/W2792527658","https://openalex.org/W2792790362","https://openalex.org/W2888395215","https://openalex.org/W2894555492","https://openalex.org/W2953823547","https://openalex.org/W2962785568","https://openalex.org/W2963257642","https://openalex.org/W2963312584","https://openalex.org/W2963470893","https://openalex.org/W2963945023","https://openalex.org/W2964030969","https://openalex.org/W2971061988","https://openalex.org/W2978658471","https://openalex.org/W2982795046","https://openalex.org/W3002421716","https://openalex.org/W3034724715","https://openalex.org/W3085824656","https://openalex.org/W3101584909","https://openalex.org/W3112576346","https://openalex.org/W3168939832","https://openalex.org/W3170697543","https://openalex.org/W3173857070","https://openalex.org/W3182557492","https://openalex.org/W3214466318","https://openalex.org/W4206075922","https://openalex.org/W4214561696","https://openalex.org/W4214815024","https://openalex.org/W4225672218","https://openalex.org/W4286634458","https://openalex.org/W4293370661","https://openalex.org/W4313007994","https://openalex.org/W4313260660","https://openalex.org/W4323338685","https://openalex.org/W4365800600","https://openalex.org/W4384161798","https://openalex.org/W4385695882","https://openalex.org/W4386075642","https://openalex.org/W4386437472","https://openalex.org/W4387042228","https://openalex.org/W4387350703","https://openalex.org/W4388322996","https://openalex.org/W4392007270","https://openalex.org/W4392904624","https://openalex.org/W4394586252","https://openalex.org/W4395692288","https://openalex.org/W4401539393","https://openalex.org/W6680829993","https://openalex.org/W6681807782","https://openalex.org/W6686904142","https://openalex.org/W6748223763","https://openalex.org/W6750852989","https://openalex.org/W6760820039","https://openalex.org/W6810161528","https://openalex.org/W6851638519","https://openalex.org/W6851972558","https://openalex.org/W6860352946"],"related_works":["https://openalex.org/W4308216825","https://openalex.org/W3034770329","https://openalex.org/W4220831754","https://openalex.org/W2089488370","https://openalex.org/W2963383578","https://openalex.org/W4287817146","https://openalex.org/W3015323103","https://openalex.org/W2004616103","https://openalex.org/W2965566740","https://openalex.org/W2037458148"],"abstract_inverted_index":{"Motion":[0],"blur":[1,39,61,84,109],"estimation":[2],"is":[3],"a":[4,50,63,87],"critical":[5],"and":[6,12,92,117],"fundamental":[7],"task":[8],"in":[9,62,86],"scene":[10],"analysis":[11],"image":[13,24,114],"restoration.":[14],"While":[15],"most":[16],"state-of-the-art":[17],"deep":[18,29],"learning-based":[19],"methods":[20],"for":[21,58,122,127],"single-image":[22],"motion":[23,38,60,83,108,113],"deblurring":[25,115,128],"focus":[26],"on":[27],"constructing":[28],"networks":[30],"or":[31],"developing":[32],"training":[33,124],"strategies,":[34],"the":[35,72,78,120],"characterization":[36],"of":[37,82,95],"has":[40],"received":[41],"less":[42],"attention.":[43],"In":[44],"this":[45,68],"paper,":[46],"we":[47,70],"innovatively":[48],"propose":[49],"non-parametric":[51],"Variational":[52],"Bayesian":[53],"Kernel":[54],"Generation":[55],"Network":[56],"(VB-KGN)":[57],"characterizing":[59],"single":[64],"image.":[65],"To":[66],"solve":[67],"model,":[69],"employ":[71],"variational":[73],"inference":[74],"framework":[75],"to":[76],"approximate":[77],"expected":[79],"statistical":[80],"distribution":[81],"images":[85],"data-driven":[88],"manner.":[89],"The":[90],"qualitative":[91],"quantitative":[93],"evaluations":[94],"our":[96,101],"experimental":[97],"results":[98],"demonstrate":[99],"that":[100],"proposed":[102],"model":[103],"can":[104],"generate":[105],"highly":[106],"accurate":[107],"kernels,":[110],"significantly":[111],"improving":[112],"performance":[116],"substantially":[118],"reducing":[119],"need":[121],"extensive":[123],"sample":[125],"preprocessing":[126],"tasks.":[129]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6}],"updated_date":"2026-08-29T07:29:34.045763","created_date":"2025-10-10T00:00:00"}
