{"id":"https://openalex.org/W2946987243","doi":"https://doi.org/10.1109/tcsvt.2019.2919159","title":"Single Image Blind Deblurring Using Multi-Scale Latent Structure Prior","display_name":"Single Image Blind Deblurring Using Multi-Scale Latent Structure Prior","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2946987243","doi":"https://doi.org/10.1109/tcsvt.2019.2919159","mag":"2946987243"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2019.2919159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2019.2919159","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":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1906.04442","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024093994","display_name":"Yuanchao Bai","orcid":"https://orcid.org/0000-0003-3449-6537"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanchao Bai","raw_affiliation_strings":["School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027946490","display_name":"Huizhu Jia","orcid":"https://orcid.org/0000-0002-2778-3768"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huizhu Jia","raw_affiliation_strings":["Cooperative Media-net Innovation Center and Beida (Binhai) Information Research, Tianjin, China","School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cooperative Media-net Innovation Center and Beida (Binhai) Information Research, Tianjin, China","institution_ids":[]},{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056308697","display_name":"Ming Jiang","orcid":"https://orcid.org/0000-0002-1661-0538"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Jiang","raw_affiliation_strings":["School of Mathematical Sciences, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100654390","display_name":"Xianming Liu","orcid":"https://orcid.org/0000-0002-8857-1785"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianming Liu","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101585261","display_name":"Xiaodong Xie","orcid":"https://orcid.org/0000-0002-4325-7741"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Xie","raw_affiliation_strings":["School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101523804","display_name":"Wen Gao","orcid":"https://orcid.org/0000-0001-8894-1806"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Gao","raw_affiliation_strings":["School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.7641,"has_fulltext":false,"cited_by_count":94,"citation_normalized_percentile":{"value":0.96039926,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":1.0,"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":1.0,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9952999949455261,"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":0.9923999905586243,"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":0.9818779230117798},{"id":"https://openalex.org/keywords/latent-image","display_name":"Latent image","score":0.6919089555740356},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6325663328170776},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.632408082485199},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.6271480917930603},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5806200504302979},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.5696022510528564},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5494368672370911},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5300148725509644},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4396766424179077},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4168541431427002},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40295732021331787},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39661645889282227},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.36380094289779663},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3433249592781067},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.16392415761947632},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07482650876045227}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9818779230117798},{"id":"https://openalex.org/C205372313","wikidata":"https://www.wikidata.org/wiki/Q355645","display_name":"Latent image","level":3,"score":0.6919089555740356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6325663328170776},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.632408082485199},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.6271480917930603},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5806200504302979},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5696022510528564},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5494368672370911},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5300148725509644},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4396766424179077},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4168541431427002},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40295732021331787},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39661645889282227},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.36380094289779663},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3433249592781067},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.16392415761947632},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07482650876045227},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcsvt.2019.2919159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2019.2919159","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"},{"id":"pmh:oai:arXiv.org:1906.04442","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1906.04442","pdf_url":"https://arxiv.org/pdf/1906.04442","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1906.04442","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1906.04442","pdf_url":"https://arxiv.org/pdf/1906.04442","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W22133433","https://openalex.org/W233979554","https://openalex.org/W1531803620","https://openalex.org/W1559907478","https://openalex.org/W1598281290","https://openalex.org/W1644552752","https://openalex.org/W1938845225","https://openalex.org/W1975807114","https://openalex.org/W1975835724","https://openalex.org/W1976416062","https://openalex.org/W1976730913","https://openalex.org/W1987075379","https://openalex.org/W1994321112","https://openalex.org/W2010464357","https://openalex.org/W2032506791","https://openalex.org/W2034713765","https://openalex.org/W2036682493","https://openalex.org/W2042406285","https://openalex.org/W2043529138","https://openalex.org/W2045849979","https://openalex.org/W2047625347","https://openalex.org/W2053967781","https://openalex.org/W2057220024","https://openalex.org/W2088691392","https://openalex.org/W2088909704","https://openalex.org/W2098535678","https://openalex.org/W2099770336","https://openalex.org/W2103559027","https://openalex.org/W2103913786","https://openalex.org/W2109440993","https://openalex.org/W2110061212","https://openalex.org/W2110671603","https://openalex.org/W2121689659","https://openalex.org/W2126252886","https://openalex.org/W2128339594","https://openalex.org/W2132244934","https://openalex.org/W2141115311","https://openalex.org/W2142058898","https://openalex.org/W2147298660","https://openalex.org/W2151109506","https://openalex.org/W2154571593","https://openalex.org/W2156394893","https://openalex.org/W2160956336","https://openalex.org/W2161804069","https://openalex.org/W2164278908","https://openalex.org/W2166576327","https://openalex.org/W2167307343","https://openalex.org/W2170608748","https://openalex.org/W2170820036","https://openalex.org/W2172275395","https://openalex.org/W2322799359","https://openalex.org/W2331376995","https://openalex.org/W2396267364","https://openalex.org/W2474628748","https://openalex.org/W2534320940","https://openalex.org/W2788790154","https://openalex.org/W2913535645","https://openalex.org/W2997829126","https://openalex.org/W3015735662","https://openalex.org/W3106135392","https://openalex.org/W3137059050","https://openalex.org/W4236387761","https://openalex.org/W4244393449","https://openalex.org/W4247043502","https://openalex.org/W4254912136","https://openalex.org/W4254979477","https://openalex.org/W4292363360","https://openalex.org/W6635527474","https://openalex.org/W6640656439","https://openalex.org/W6658772490","https://openalex.org/W6678827375","https://openalex.org/W6681807782","https://openalex.org/W6682344109"],"related_works":["https://openalex.org/W2031788393","https://openalex.org/W791927757","https://openalex.org/W2182590612","https://openalex.org/W2973468176","https://openalex.org/W2247925651","https://openalex.org/W3153582293","https://openalex.org/W3207832039","https://openalex.org/W2269775642","https://openalex.org/W2905397092","https://openalex.org/W3080537281"],"abstract_inverted_index":{"Blind":[0],"image":[1,22,35,46,72,104,111,180,198,220],"deblurring":[2,221],"is":[3,52],"a":[4,25,43,49,54,74,102,154,178,195],"challenging":[5,217],"problem":[6],"in":[7,34,37,145,157],"computer":[8],"vision,":[9],"which":[10],"aims":[11],"to":[12,89,97,123,161,170,214],"restore":[13,90,142],"both":[14],"the":[15,19,30,58,69,79,94,98,109,113,130,146,158,163,211,231,235],"blur":[16],"kernel":[17,189],"and":[18,67,106,149,194],"latent":[20,59,75,126],"sharp":[21,60,81,91,116,143,179],"from":[23,48,84,93],"only":[24],"blurry":[26,50,103],"observation.":[27],"Inspired":[28],"by":[29],"prevalent":[31],"self-example":[32,185],"prior":[33,77,110],"super-resolution,":[36],"this":[38,64,85],"paper,":[39],"we":[40,87,139,151,175],"observe":[41],"that":[42,227],"coarse":[44,70,147],"enough":[45,71],"down-sampled":[47],"observation":[51],"approximately":[53],"low-resolution":[55],"version":[56],"of":[57,78,201],"image.":[61,82,117,166],"We":[62,208],"prove":[63],"phenomenon":[65],"theoretically":[66],"define":[68],"as":[73,124],"structure":[76],"unknown":[80],"Starting":[83],"prior,":[86,132],"propose":[88],"images":[92,144],"coarsest":[95],"scale":[96,100,160],"finest":[99,159],"on":[101],"pyramid":[105],"progressively":[107],"update":[108],"using":[112],"newly":[114],"restored":[115],"These":[118],"coarse-to-fine":[119],"priors":[120],"are":[121],"referred":[122],"multi-scale":[125],"structures":[127],"(MSLSs).":[128],"Leveraging":[129],"MSLS":[131],"our":[133,228],"algorithm":[134,213,229],"comprises":[135],"two":[136],"phases:":[137],"1)":[138],"first":[140],"preliminarily":[141],"scales":[148],"2)":[150],"then":[152],"apply":[153],"refinement":[155],"process":[156],"obtain":[162],"final":[164],"deblurred":[165],"In":[167],"each":[168],"scale,":[169],"achieve":[171],"lower":[172],"computational":[173],"complexity,":[174],"alternately":[176],"perform":[177],"reconstruction":[181],"with":[182,191,238],"fast":[183,196],"local":[184],"matching,":[186],"an":[187],"accelerated":[188],"estimation":[190],"error":[192],"compensation,":[193],"non-blind":[197],"deblurring,":[199],"instead":[200],"computing":[202],"any":[203],"computationally":[204],"expensive":[205],"non-convex":[206],"priors.":[207],"further":[209],"extend":[210],"proposed":[212],"solve":[215],"more":[216],"non-uniform":[218],"blind":[219],"problem.":[222],"The":[223],"extensive":[224],"experiments":[225],"demonstrate":[226],"achieves":[230],"competitive":[232],"results":[233],"against":[234],"state-of-the-art":[236],"methods":[237],"much":[239],"faster":[240],"running":[241],"speed.":[242]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
