{"id":"https://openalex.org/W4296079450","doi":"https://doi.org/10.1109/tcsvt.2022.3207279","title":"Self-Supervised Blind Image Deconvolution via Deep Generative Ensemble Learning","display_name":"Self-Supervised Blind Image Deconvolution via Deep Generative Ensemble Learning","publication_year":2022,"publication_date":"2022-09-16","ids":{"openalex":"https://openalex.org/W4296079450","doi":"https://doi.org/10.1109/tcsvt.2022.3207279"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2022.3207279","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3207279","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5072749467","display_name":"Mingqin Chen","orcid":"https://orcid.org/0000-0002-1904-6688"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingqin Chen","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","Pazhou Laboratory, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Pazhou Laboratory, Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038130835","display_name":"Yuhui Quan","orcid":"https://orcid.org/0000-0002-2564-7703"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhui Quan","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","Pazhou Laboratory, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Pazhou Laboratory, Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010277066","display_name":"Yong Xu","orcid":"https://orcid.org/0000-0001-7183-3155"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Xu","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","Pazhou Laboratory, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Pazhou Laboratory, Guangzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030046423","display_name":"Hui Ji","orcid":"https://orcid.org/0000-0002-1674-6056"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Hui Ji","raw_affiliation_strings":["Department of Mathematics, National University of Singapore, Queenstown, Singapore"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, National University of Singapore, Queenstown, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5072749467"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":1.8339,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.86688788,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"33","issue":"2","first_page":"634","last_page":"647"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9998000264167786,"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":0.9993000030517578,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/deblurring","display_name":"Deblurring","score":0.8664442896842957},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7353002429008484},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7340137958526611},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7153525352478027},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6600574851036072},{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.6083995699882507},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.5658777356147766},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5609655976295471},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5273105502128601},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4904176890850067},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.486203134059906},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.463352233171463},{"id":"https://openalex.org/keywords/blind-deconvolution","display_name":"Blind deconvolution","score":0.4447760283946991},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.436445415019989},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3884585499763489},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.3169978857040405},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2641369700431824},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.26245513558387756},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2538108229637146},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20280897617340088},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18219450116157532},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.1473553478717804}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.8664442896842957},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7353002429008484},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7340137958526611},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7153525352478027},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6600574851036072},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.6083995699882507},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5658777356147766},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5609655976295471},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5273105502128601},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4904176890850067},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.486203134059906},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.463352233171463},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.4447760283946991},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.436445415019989},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3884585499763489},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.3169978857040405},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2641369700431824},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.26245513558387756},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2538108229637146},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20280897617340088},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18219450116157532},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.1473553478717804},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2022.3207279","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3207279","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1376253947","display_name":null,"funder_award_id":"61872151","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1829986904","display_name":null,"funder_award_id":"62072188","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2565906561","display_name":null,"funder_award_id":"2022A1515011755","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W233979554","https://openalex.org/W1457323852","https://openalex.org/W1598281290","https://openalex.org/W1795014501","https://openalex.org/W1895439721","https://openalex.org/W1976730913","https://openalex.org/W1987075379","https://openalex.org/W1992309968","https://openalex.org/W1996726072","https://openalex.org/W2009501432","https://openalex.org/W2032506791","https://openalex.org/W2036682493","https://openalex.org/W2045849979","https://openalex.org/W2095775020","https://openalex.org/W2098535678","https://openalex.org/W2125555749","https://openalex.org/W2138204001","https://openalex.org/W2167307343","https://openalex.org/W2171664034","https://openalex.org/W2294215176","https://openalex.org/W2294970404","https://openalex.org/W2300657047","https://openalex.org/W2312461778","https://openalex.org/W2396267364","https://openalex.org/W2465552163","https://openalex.org/W2472069500","https://openalex.org/W2474628748","https://openalex.org/W2740543610","https://openalex.org/W2756389006","https://openalex.org/W2771305881","https://openalex.org/W2780534972","https://openalex.org/W2788790154","https://openalex.org/W2899663614","https://openalex.org/W2901502713","https://openalex.org/W2920770442","https://openalex.org/W2946987243","https://openalex.org/W2955179830","https://openalex.org/W2955192444","https://openalex.org/W2962708058","https://openalex.org/W2963130865","https://openalex.org/W2963667985","https://openalex.org/W2964013315","https://openalex.org/W2965300963","https://openalex.org/W2967273822","https://openalex.org/W2982374186","https://openalex.org/W2982795046","https://openalex.org/W2998785217","https://openalex.org/W3002421716","https://openalex.org/W3003954661","https://openalex.org/W3022900894","https://openalex.org/W3034724715","https://openalex.org/W3034770329","https://openalex.org/W3096647320","https://openalex.org/W3096970131","https://openalex.org/W3102409349","https://openalex.org/W3104724358","https://openalex.org/W3105070560","https://openalex.org/W3106135392","https://openalex.org/W3109746756","https://openalex.org/W3170697543","https://openalex.org/W3195057011","https://openalex.org/W3202040256","https://openalex.org/W4246695332","https://openalex.org/W6678856934","https://openalex.org/W6681807782","https://openalex.org/W6755977528","https://openalex.org/W6764371849"],"related_works":["https://openalex.org/W2031788393","https://openalex.org/W2022101081","https://openalex.org/W2182590612","https://openalex.org/W2343807919","https://openalex.org/W2905397092","https://openalex.org/W3153582293","https://openalex.org/W1038900426","https://openalex.org/W791927757","https://openalex.org/W3207832039","https://openalex.org/W2269775642"],"abstract_inverted_index":{"Blind":[0],"image":[1,9],"deconvolution":[2],"(BID)":[3],"is":[4,123],"about":[5],"recovering":[6],"a":[7,38,112,120],"latent":[8],"with":[10,21,45,111],"sharp":[11],"details":[12],"from":[13,30,62,79],"its":[14],"blurred":[15],"observation":[16],"generated":[17],"by":[18],"the":[19,46,77,86,98,106,127,138,144,147,155],"convolution":[20],"an":[22,71],"unknown":[23],"smoothing":[24],"kernel.":[25],"Recently,":[26],"deep":[27,40],"generative":[28],"priors":[29,78],"untrained":[31,80,91,107],"neural":[32],"networks":[33],"(NNs)":[34],"have":[35],"emerged":[36],"as":[37],"promising":[39],"learning":[41],"approach":[42,73,157],"for":[43,82,93,125],"BID,":[44,83],"benefit":[47],"of":[48,51,89,140,146],"being":[49],"free":[50],"external":[52],"training":[53],"samples.":[54],"However,":[55],"existing":[56],"untrained-NN-based":[57],"BID":[58],"methods":[59,163],"may":[60],"suffer":[61],"under-deblurring":[63],"or":[64],"overfitting.":[65],"In":[66,118],"this":[67],"paper,":[68],"we":[69],"propose":[70],"ensemble":[72,104],"to":[74,143],"better":[75],"exploit":[76],"NNs":[81,92,108],"which":[84,135],"aggregates":[85],"deblurring":[87],"results":[88],"multiple":[90],"improvement.":[94],"To":[95],"enjoy":[96],"both":[97,160],"effectiveness":[99],"and":[100,115,164],"computational":[101],"efficiency":[102],"in":[103],"learning,":[105],"are":[109],"designed":[110],"specific":[113],"shared-base":[114],"multi-head":[116],"architecture.":[117],"addition,":[119],"kernel-centering":[121],"layer":[122],"proposed":[124,156],"handling":[126],"shift":[128],"ambiguity":[129],"among":[130],"different":[131],"predictions":[132],"during":[133],"ensemble,":[134],"also":[136],"improves":[137],"robustness":[139],"kernel":[141,148],"prediction":[142],"setting":[145],"size":[149],"parameter.":[150],"Extensive":[151],"experiments":[152],"show":[153],"that":[154],"noticeably":[158],"outperforms":[159],"exiting":[161],"dataset-free":[162],"dataset-based":[165],"methods.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}
