{"id":"https://openalex.org/W2294970404","doi":"https://doi.org/10.1109/tip.2016.2531905","title":"Learning Iteration-wise Generalized Shrinkage-Thresholding Operators for Blind Deconvolution","display_name":"Learning Iteration-wise Generalized Shrinkage-Thresholding Operators for Blind Deconvolution","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2294970404","doi":"https://doi.org/10.1109/tip.2016.2531905","mag":"2294970404","pmid":"https://pubmed.ncbi.nlm.nih.gov/26915121"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2016.2531905","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2016.2531905","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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, Harbin, China"],"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/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"]},{"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":["CN","HK"],"is_corresponding":false,"raw_author_name":"Dongwei Ren","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hong Kong","School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]},{"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/A5100325058","display_name":"David Zhang","orcid":"https://orcid.org/0000-0002-5027-5286"},"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":"David Zhang","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"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":["Department of Computing, The Hong Kong Polytechnic University, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"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":["Department of Computing, The Hong Kong Polytechnic University, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong","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":7.6261,"has_fulltext":false,"cited_by_count":111,"citation_normalized_percentile":{"value":0.98313982,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"25","issue":"4","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":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":0.9957000017166138,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9954000115394592,"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":0.6000143885612488},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.5598322749137878},{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.5564770102500916},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5373510122299194},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.5177232623100281},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5142390131950378},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.4932212233543396},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.483053982257843},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4732252359390259},{"id":"https://openalex.org/keywords/blind-deconvolution","display_name":"Blind deconvolution","score":0.4712762236595154},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.4460003077983856},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4303528666496277},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3955591320991516},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3713603615760803},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35594868659973145},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.31401771306991577},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.25816357135772705},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24798709154129028},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.23584094643592834},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.14836734533309937}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.6000143885612488},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.5598322749137878},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.5564770102500916},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5373510122299194},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.5177232623100281},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5142390131950378},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.4932212233543396},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.483053982257843},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4732252359390259},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.4712762236595154},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.4460003077983856},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4303528666496277},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3955591320991516},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3713603615760803},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35594868659973145},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.31401771306991577},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25816357135772705},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24798709154129028},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.23584094643592834},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.14836734533309937},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2016.2531905","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2016.2531905","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:26915121","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26915121","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/61416","is_oa":false,"landing_page_url":"http://hdl.handle.net/10397/61416","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":"Journal/Magazine Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7099999785423279,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G3807605092","display_name":null,"funder_award_id":"61271093","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G510803433","display_name":null,"funder_award_id":"NCET-12-0150","funder_id":"https://openalex.org/F4320334924","funder_display_name":"Program for New Century Excellent Talents in University"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334924","display_name":"Program for New Century Excellent Talents in University","ror":"https://ror.org/01mv9t934"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W22133433","https://openalex.org/W31173286","https://openalex.org/W131166756","https://openalex.org/W233979554","https://openalex.org/W436406968","https://openalex.org/W606240784","https://openalex.org/W1504464002","https://openalex.org/W1533502360","https://openalex.org/W1589938762","https://openalex.org/W1598281290","https://openalex.org/W1604428010","https://openalex.org/W1792921166","https://openalex.org/W1795014501","https://openalex.org/W1899439299","https://openalex.org/W1938845225","https://openalex.org/W1968480053","https://openalex.org/W1973567017","https://openalex.org/W1975835724","https://openalex.org/W1976730913","https://openalex.org/W1987075379","https://openalex.org/W1992309968","https://openalex.org/W1993164181","https://openalex.org/W2017157669","https://openalex.org/W2030108224","https://openalex.org/W2032506791","https://openalex.org/W2036682493","https://openalex.org/W2042801185","https://openalex.org/W2075861921","https://openalex.org/W2078718577","https://openalex.org/W2084978503","https://openalex.org/W2090325967","https://openalex.org/W2098535678","https://openalex.org/W2099628070","https://openalex.org/W2103913786","https://openalex.org/W2111854674","https://openalex.org/W2112391032","https://openalex.org/W2130975789","https://openalex.org/W2133665775","https://openalex.org/W2135238609","https://openalex.org/W2138204001","https://openalex.org/W2141115311","https://openalex.org/W2147298660","https://openalex.org/W2163940565","https://openalex.org/W2164570415","https://openalex.org/W2167307343","https://openalex.org/W2168745297","https://openalex.org/W2170562024","https://openalex.org/W2172275395","https://openalex.org/W2187446163","https://openalex.org/W2187997753","https://openalex.org/W2228350129","https://openalex.org/W2539781702","https://openalex.org/W3100676183","https://openalex.org/W4297776711","https://openalex.org/W6630252972","https://openalex.org/W6631922109","https://openalex.org/W6635360387","https://openalex.org/W6635527474","https://openalex.org/W6640656439","https://openalex.org/W6658772490","https://openalex.org/W6681807782","https://openalex.org/W6684399562"],"related_works":["https://openalex.org/W2031788393","https://openalex.org/W2034520358","https://openalex.org/W2059639161","https://openalex.org/W2058895457","https://openalex.org/W1538056422","https://openalex.org/W2586325539","https://openalex.org/W2023738877","https://openalex.org/W791927757","https://openalex.org/W2269775642","https://openalex.org/W2026824768"],"abstract_inverted_index":{"Salient":[0],"edge":[1,112],"selection":[2,113],"and":[3,31,114,174,186,208,211],"time-varying":[4,115],"regularization":[5],"are":[6,106],"two":[7],"crucial":[8],"techniques":[9],"to":[10,35,52,73,108,129,145,183],"guarantee":[11],"the":[12,22,40,46,60,65,80,102,131,136,140,147,150,164,171,175,193,217],"success":[13],"of":[14,39,119,149,167,204],"maximum":[15],"a":[16,122],"posteriori":[17],"(MAP)-based":[18],"blind":[19,220],"deconvolution.":[20],"However,":[21],"existing":[23],"approaches":[24],"usually":[25],"rely":[26],"on":[27],"carefully":[28],"designed":[29],"regularizers":[30,44,68],"handcrafted":[32,120],"parameter":[33],"tuning":[34],"obtain":[36],"satisfactory":[37],"estimation":[38],"blur":[41,168],"kernel.":[42],"Many":[43],"exhibit":[45],"structure-preserving":[47],"smoothing":[48],"capability,":[49],"but":[50],"fail":[51],"enhance":[53],"salient":[54,95,111],"edges.":[55],"In":[56],"this":[57],"paper,":[58],"under":[59],"MAP":[61],"framework,":[62],"we":[63,78],"propose":[64],"iteration-wise":[66,103],"\u2113p-norm":[67,86],"together":[69],"with":[70,88,192],"data-driven":[71],"strategy":[72],"address":[74],"these":[75],"issues.":[76],"First,":[77],"extend":[79],"generalized":[81,182],"shrinkage-thresholding":[82],"(GST)":[83],"operator":[84],"for":[85],"minimization":[87],"negative":[89,156],"p":[90,157],"value,":[91],"which":[92],"can":[93,179],"sharpen":[94],"edges":[96],"while":[97],"suppressing":[98],"trivial":[99],"details.":[100],"Then,":[101],"GST":[104,133,177],"parameters":[105],"specified":[107],"allow":[109],"dynamical":[110],"regularization.":[116],"Finally,":[117],"instead":[118],"tuning,":[121],"principled":[123],"discriminative":[124],"learning":[125],"approach":[126],"is":[127,143,159,213],"proposed":[128],"learn":[130],"iterationwise":[132],"operators":[134,178],"from":[135],"training":[137],"dataset.":[138],"Furthermore,":[139],"multi-scale":[141],"scheme":[142],"developed":[144],"improve":[146],"efficiency":[148],"algorithm.":[151],"Experimental":[152],"results":[153,201],"show":[154],"that,":[155],"value":[158],"more":[160],"effective":[161],"in":[162,202],"estimating":[163],"coarse":[165],"shape":[166],"kernel":[169],"at":[170],"early":[172],"stage,":[173],"learned":[176],"be":[180],"well":[181],"other":[184],"dataset":[185],"real":[187],"world":[188],"blurry":[189],"images.":[190],"Compared":[191],"state-of-the-art":[194,218],"methods,":[195],"our":[196],"method":[197],"achieves":[198],"better":[199],"deblurring":[200],"terms":[203],"both":[205],"quantitative":[206],"metrics":[207],"visual":[209],"quality,":[210],"it":[212],"much":[214],"faster":[215],"than":[216],"patch-based":[219],"deconvolution":[221],"method.":[222]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":18},{"year":2017,"cited_by_count":11}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
