{"id":"https://openalex.org/W1974636210","doi":"https://doi.org/10.1137/110857349","title":"Augmented Lagrangian-Based Sparse Representation Method with Dictionary Updating for Image Deblurring","display_name":"Augmented Lagrangian-Based Sparse Representation Method with Dictionary Updating for Image Deblurring","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W1974636210","doi":"https://doi.org/10.1137/110857349","mag":"1974636210"},"language":"en","primary_location":{"id":"doi:10.1137/110857349","is_oa":false,"landing_page_url":"https://doi.org/10.1137/110857349","pdf_url":null,"source":{"id":"https://openalex.org/S152600803","display_name":"SIAM Journal on Imaging Sciences","issn_l":"1936-4954","issn":["1936-4954"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Journal on Imaging Sciences","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/A5057647276","display_name":"Qiegen Liu","orcid":"https://orcid.org/0000-0003-4717-2283"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qiegen Liu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025474414","display_name":"Dong Liang","orcid":"https://orcid.org/0000-0001-6257-0875"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dong Liang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108594725","display_name":"Yi Song","orcid":"https://orcid.org/0000-0002-8656-5314"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Song","raw_affiliation_strings":["Institute of Plasma Physics, Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Plasma Physics, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101742079","display_name":"Junqi Luo","orcid":"https://orcid.org/0000-0002-4459-431X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianhua Luo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100605235","display_name":"Yuemin Zhu","orcid":"https://orcid.org/0000-0001-6814-1449"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuemin Zhu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5023077692","display_name":"W S Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenshu Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.2638,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.92872772,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"6","issue":"3","first_page":"1689","last_page":"1718"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.9998999834060669,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/deblurring","display_name":"Deblurring","score":0.9565316438674927},{"id":"https://openalex.org/keywords/augmented-lagrangian-method","display_name":"Augmented Lagrangian method","score":0.9099198579788208},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.7766772508621216},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6516593098640442},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.5921705961227417},{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.5136231780052185},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4843508005142212},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.48038727045059204},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4647105932235718},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4573085606098175},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4439886212348938},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4312150478363037},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.4215453267097473},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4207736849784851},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3509290814399719},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.22285965085029602},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.21445384621620178}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9565316438674927},{"id":"https://openalex.org/C150452318","wikidata":"https://www.wikidata.org/wiki/Q4820432","display_name":"Augmented Lagrangian method","level":2,"score":0.9099198579788208},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.7766772508621216},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6516593098640442},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.5921705961227417},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.5136231780052185},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4843508005142212},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.48038727045059204},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4647105932235718},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4573085606098175},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4439886212348938},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4312150478363037},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.4215453267097473},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4207736849784851},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3509290814399719},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.22285965085029602},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.21445384621620178},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1137/110857349","is_oa":false,"landing_page_url":"https://doi.org/10.1137/110857349","pdf_url":null,"source":{"id":"https://openalex.org/S152600803","display_name":"SIAM Journal on Imaging Sciences","issn_l":"1936-4954","issn":["1936-4954"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Journal on Imaging Sciences","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-02071592v1","is_oa":false,"landing_page_url":"https://hal.science/hal-02071592","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"SIAM Journal on Imaging Sciences, 2013, 6, pp.1689\\{$\\backslash$textendash\\}1718","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G2841791527","display_name":"Fast acquisition techniques for diffusion tensor magnetic resonance imaging of the human heart in-vivo","funder_award_id":"ANR-09-BLAN-0372","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1491318578","https://openalex.org/W1965570176","https://openalex.org/W1969899894","https://openalex.org/W1972406935","https://openalex.org/W1974736746","https://openalex.org/W1976453985","https://openalex.org/W1978333359","https://openalex.org/W1979072167","https://openalex.org/W1996287810","https://openalex.org/W2000023271","https://openalex.org/W2000266650","https://openalex.org/W2010825468","https://openalex.org/W2011181254","https://openalex.org/W2013378881","https://openalex.org/W2020036859","https://openalex.org/W2020461703","https://openalex.org/W2023220720","https://openalex.org/W2028349405","https://openalex.org/W2038649727","https://openalex.org/W2044810215","https://openalex.org/W2056370875","https://openalex.org/W2065030431","https://openalex.org/W2068548513","https://openalex.org/W2071023994","https://openalex.org/W2073489937","https://openalex.org/W2091494211","https://openalex.org/W2097073572","https://openalex.org/W2099554640","https://openalex.org/W2100556411","https://openalex.org/W2100705753","https://openalex.org/W2109449402","https://openalex.org/W2113389081","https://openalex.org/W2115429828","https://openalex.org/W2115706991","https://openalex.org/W2117865218","https://openalex.org/W2121058967","https://openalex.org/W2123031198","https://openalex.org/W2125852763","https://openalex.org/W2126607811","https://openalex.org/W2133665775","https://openalex.org/W2135089338","https://openalex.org/W2135779729","https://openalex.org/W2142058898","https://openalex.org/W2142224912","https://openalex.org/W2145534432","https://openalex.org/W2148062657","https://openalex.org/W2153663612","https://openalex.org/W2157124329","https://openalex.org/W2159080051","https://openalex.org/W2160547390","https://openalex.org/W2163973643","https://openalex.org/W2164111706","https://openalex.org/W2164570415","https://openalex.org/W2167188281","https://openalex.org/W2167713418","https://openalex.org/W2167732364","https://openalex.org/W2169899245","https://openalex.org/W2170608748","https://openalex.org/W2949483514","https://openalex.org/W3104720471","https://openalex.org/W3123837026"],"related_works":["https://openalex.org/W1982235579","https://openalex.org/W4382450472","https://openalex.org/W2626064629","https://openalex.org/W2890544631","https://openalex.org/W2762856583","https://openalex.org/W2067062989","https://openalex.org/W3004790527","https://openalex.org/W4205656132","https://openalex.org/W2998105788","https://openalex.org/W2539392819"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3],"efficient":[4],"alternating":[5,48],"direction":[6,49],"method":[7,27,50],"with":[8,106,134],"patch-based":[9,62],"dictionary":[10,71],"updating,":[11],"ADMDU-DEB,":[12],"for":[13],"sparse":[14,63,67,76],"representation":[15,77],"regularization":[16,59],"framework":[17],"of":[18,24,90,103,120],"image":[19],"deblurring.":[20],"The":[21,47],"main":[22],"idea":[23],"the":[25,31,52,57,61,75,80,93,100,118,121],"proposed":[26,122],"is":[28,95],"to":[29,83,98],"reformulate":[30],"variational":[32,104],"problem":[33,39,105],"as":[34],"a":[35,86,107],"linear":[36],"equality":[37],"constrained":[38],"and":[40,60,69,124],"then":[41],"minimize":[42],"its":[43],"augmented":[44],"Lagrangian":[45],"function.":[46],"decouples":[51],"minimization":[53],"by":[54],"alternately":[55],"iterating":[56],"pixel-based":[58],"representation.":[64],"Typically,":[65],"accelerated":[66],"coding":[68],"simple":[70],"updating":[72],"applied":[73],"in":[74],"stage":[78],"enable":[79],"whole":[81],"algorithm":[82],"converge":[84],"at":[85],"relatively":[87],"small":[88],"number":[89],"iterations.":[91],"Additionally,":[92],"approach":[94,123],"readily":[96],"extended":[97],"solve":[99],"same":[101],"kind":[102],"nonnegativity":[108],"constraint.":[109],"Experimental":[110],"results":[111],"on":[112],"benchmark":[113],"test":[114],"images":[115],"consistently":[116],"validate":[117],"superiority":[119],"demonstrate":[125],"that":[126],"it":[127],"achieves":[128],"very":[129],"competitive":[130],"deblurring":[131],"performance,":[132],"compared":[133],"state-of-the-art":[135],"deconvolution":[136],"algorithms.":[137]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}