{"id":"https://openalex.org/W1899439299","doi":"https://doi.org/10.1109/cvpr.2015.7298943","title":"Discriminative learning of iteration-wise priors for blind deconvolution","display_name":"Discriminative learning of iteration-wise priors for blind deconvolution","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1899439299","doi":"https://doi.org/10.1109/cvpr.2015.7298943","mag":"1899439299"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2015.7298943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5100636655","display_name":"Wangmeng Zuo","orcid":"https://orcid.org/0000-0002-3330-783X"},"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":true,"raw_author_name":"Wangmeng Zuo","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051402211","display_name":"Dongwei Ren","orcid":"https://orcid.org/0000-0002-0965-6810"},"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":"Dongwei Ren","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100745570","display_name":"Shuhang Gu","orcid":"https://orcid.org/0000-0002-1394-6642"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Shuhang Gu","raw_affiliation_strings":["Dept. of Computing, The Hong Kong Polytechnic University, China","Department of Computing, The Hong Kong Polytechnic University, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Dept. of Computing, The Hong Kong Polytechnic University, China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, China#TAB#","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100412937","display_name":"Liang Lin","orcid":"https://orcid.org/0000-0003-2248-3755"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Lin","raw_affiliation_strings":["Sun Yat-Sen University, Guangzhou, China","[Sun Yat-sen University, Guangzhou, China.]"],"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"[Sun Yat-sen University, Guangzhou, China.]","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100433899","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-2078-4215"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["Dept. of Computing, The Hong Kong Polytechnic University, China","Department of Computing, The Hong Kong Polytechnic University, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Dept. of Computing, The Hong Kong Polytechnic University, China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, China#TAB#","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100636655"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":4.4923,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.96389578,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3232","last_page":"3240"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9983999729156494,"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":0.9976999759674072,"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/prior-probability","display_name":"Prior probability","score":0.7656881213188171},{"id":"https://openalex.org/keywords/deblurring","display_name":"Deblurring","score":0.7100188136100769},{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.7010029554367065},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.644116222858429},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.605650782585144},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.597111701965332},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45932480692863464},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45702242851257324},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3990708887577057},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39608800411224365},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.3600556254386902},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3268001675605774},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.25017109513282776},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.13337790966033936}],"concepts":[{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.7656881213188171},{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.7100188136100769},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.7010029554367065},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.644116222858429},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.605650782585144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.597111701965332},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45932480692863464},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45702242851257324},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3990708887577057},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39608800411224365},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.3600556254386902},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3268001675605774},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25017109513282776},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.13337790966033936},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cvpr.2015.7298943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.718.5445","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.718.5445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www4.comp.polyu.edu.hk/%7Ecslzhang/paper/CVPR15.pdf","raw_type":"text"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/67506","is_oa":false,"landing_page_url":"http://hdl.handle.net/10397/67506","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"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":51,"referenced_works":["https://openalex.org/W22133433","https://openalex.org/W31173286","https://openalex.org/W436406968","https://openalex.org/W1533502360","https://openalex.org/W1547225365","https://openalex.org/W1598281290","https://openalex.org/W1792921166","https://openalex.org/W1795014501","https://openalex.org/W1975835724","https://openalex.org/W1976730913","https://openalex.org/W1984859941","https://openalex.org/W1987075379","https://openalex.org/W1992309968","https://openalex.org/W2017157669","https://openalex.org/W2032506791","https://openalex.org/W2036682493","https://openalex.org/W2042801185","https://openalex.org/W2075861921","https://openalex.org/W2078718577","https://openalex.org/W2090325967","https://openalex.org/W2098535678","https://openalex.org/W2099628070","https://openalex.org/W2103913786","https://openalex.org/W2111854674","https://openalex.org/W2130975789","https://openalex.org/W2132244934","https://openalex.org/W2133665775","https://openalex.org/W2135238609","https://openalex.org/W2138204001","https://openalex.org/W2140824929","https://openalex.org/W2141115311","https://openalex.org/W2147298660","https://openalex.org/W2163940565","https://openalex.org/W2164570415","https://openalex.org/W2167307343","https://openalex.org/W2170562024","https://openalex.org/W2172275395","https://openalex.org/W2187446163","https://openalex.org/W2187997753","https://openalex.org/W2539781702","https://openalex.org/W3100676183","https://openalex.org/W6600878795","https://openalex.org/W6601255144","https://openalex.org/W6631922109","https://openalex.org/W6635527474","https://openalex.org/W6638563174","https://openalex.org/W6658772490","https://openalex.org/W6680829993","https://openalex.org/W6681807782","https://openalex.org/W6684399562","https://openalex.org/W6686904142"],"related_works":["https://openalex.org/W2066613488","https://openalex.org/W2031788393","https://openalex.org/W791927757","https://openalex.org/W2182590612","https://openalex.org/W3153582293","https://openalex.org/W2905397092","https://openalex.org/W2269775642","https://openalex.org/W3080537281","https://openalex.org/W2289746762","https://openalex.org/W2139384960"],"abstract_inverted_index":{"The":[0,56],"maximum":[1],"a":[2,42,114],"posterior":[3],"(MAP)-based":[4],"blind":[5,43],"deconvolution":[6,44],"framework":[7,45],"generally":[8],"involves":[9],"two":[10],"stages:":[11],"blur":[12,19,53,157],"kernel":[13,20,54],"estimation":[14],"and":[15,25,117,125,144,163],"non-blind":[16],"restoration.":[17],"For":[18],"estimation,":[21],"sharp":[22],"edge":[23],"prediction":[24],"carefully":[26],"designed":[27],"image":[28,74],"priors":[29,50,72],"are":[30],"vital":[31],"to":[32,122],"the":[33,131,153,176,183],"success":[34],"of":[35,58,73,156],"MAP.":[36],"In":[37],"this":[38],"paper,":[39],"we":[40,145],"propose":[41],"together":[46],"with":[47,130,182],"iteration":[48,79],"specific":[49],"for":[51,69],"better":[52,172],"estimation.":[55],"family":[57],"hyper-Laplacian":[59],"(Pr(d)":[60],"\u221d":[61],"e":[62],"<sup":[63,86,91],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[64,87,92],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">-\u2225d\u2225pp/\u03bb</sup>":[65],")":[66],"is":[67,142,190,196],"adopted":[68],"modeling":[70],"iteration-wise":[71,101],"gra-":[75],"dients,":[76],"where":[77],"each":[78],"has":[80],"its":[81],"own":[82],"model":[83,102,112],"parameters":[84,103],"{\u03bb":[85],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">(t)</sup>":[88,93],",":[89],"p":[90,138],"}.":[94],"To":[95],"avoid":[96],"heavy":[97],"parameter":[98],"tuning,":[99],"all":[100],"can":[104,118],"be":[105,119],"learned":[106],"using":[107],"our":[108,169,188],"principled":[109],"discriminative":[110],"learning":[111],"from":[113],"training":[115],"set,":[116],"directly":[120],"applied":[121],"other":[123],"dataset":[124],"real":[126,164],"blurry":[127],"images.":[128],"Interestingly,":[129],"generalized":[132],"shrinkage":[133],"/":[134],"thresholding":[135],"operator,":[136],"negative":[137],"value":[139],"(p":[140],"<;0)":[141],"allowable":[143],"find":[146],"that":[147,168],"it":[148],"contributes":[149],"more":[150,198],"in":[151,192],"estimating":[152],"coarse":[154],"shape":[155],"kernel.":[158],"Experimental":[159],"results":[160,174,194],"on":[161],"synthetic":[162],"world":[165],"images":[166],"demonstrate":[167],"method":[170,189],"achieves":[171],"deblurring":[173],"than":[175],"existing":[177],"gradient":[178],"prior-based":[179,186],"methods.":[180],"Compared":[181],"state-of-the-art":[184],"patch":[185],"method,":[187],"competitive":[191],"restoration":[193],"but":[195],"much":[197],"efficient.":[199]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
