{"id":"https://openalex.org/W2018990310","doi":"https://doi.org/10.1109/tip.2014.2329449","title":"Compressive Sensing via Nonlocal Low-Rank Regularization","display_name":"Compressive Sensing via Nonlocal Low-Rank Regularization","publication_year":2014,"publication_date":"2014-06-06","ids":{"openalex":"https://openalex.org/W2018990310","doi":"https://doi.org/10.1109/tip.2014.2329449","mag":"2018990310","pmid":"https://pubmed.ncbi.nlm.nih.gov/24951688"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2014.2329449","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2014.2329449","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/A5037310802","display_name":"Weisheng Dong","orcid":"https://orcid.org/0000-0002-9632-985X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weisheng Dong","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi'an, China","School of Electronic Engineering, Xidian University, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101549504","display_name":"Guangming Shi","orcid":"https://orcid.org/0000-0003-2179-3292"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangming Shi","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi'an, China","School of Electronic Engineering, Xidian University, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354039","display_name":"Xin Li","orcid":"https://orcid.org/0000-0003-2067-2763"},"institutions":[{"id":"https://openalex.org/I12097938","display_name":"West Virginia University","ror":"https://ror.org/011vxgd24","country_code":"US","type":"education","lineage":["https://openalex.org/I12097938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xin Li","raw_affiliation_strings":["Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV, USA","Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV, USA,#TAB#"],"affiliations":[{"raw_affiliation_string":"Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV, USA","institution_ids":["https://openalex.org/I12097938"]},{"raw_affiliation_string":"Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV, USA,#TAB#","institution_ids":["https://openalex.org/I12097938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062841020","display_name":"Yi Ma","orcid":"https://orcid.org/0000-0001-5485-419X"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]},{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Yi Ma","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Champaign, IL, USA","School of Information Science and Technology, Shanghai Tech University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"School of Information Science and Technology, Shanghai Tech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012878245","display_name":"Feng Huang","orcid":"https://orcid.org/0000-0003-2813-3107"},"institutions":[{"id":"https://openalex.org/I4210086647","display_name":"Philips (China)","ror":"https://ror.org/001tk4253","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210086647","https://openalex.org/I4210122849"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Huang","raw_affiliation_strings":["Philips Healthcare, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"Philips Healthcare, Suzhou, China","institution_ids":["https://openalex.org/I4210086647"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5037310802"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":41.1977,"has_fulltext":false,"cited_by_count":611,"citation_normalized_percentile":{"value":0.99956712,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"23","issue":"8","first_page":"3618","last_page":"3632"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/compressed-sensing","display_name":"Compressed sensing","score":0.7889551520347595},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6995605826377869},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5721492767333984},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5299694538116455},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4993116855621338},{"id":"https://openalex.org/keywords/convex-function","display_name":"Convex function","score":0.4911811053752899},{"id":"https://openalex.org/keywords/matrix-norm","display_name":"Matrix norm","score":0.48587721586227417},{"id":"https://openalex.org/keywords/signal-recovery","display_name":"Signal recovery","score":0.4712023437023163},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.45301252603530884},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.43774956464767456},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.43727219104766846},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4066343903541565},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37524086236953735},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36555421352386475}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7889551520347595},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6995605826377869},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5721492767333984},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5299694538116455},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4993116855621338},{"id":"https://openalex.org/C145446738","wikidata":"https://www.wikidata.org/wiki/Q319913","display_name":"Convex function","level":3,"score":0.4911811053752899},{"id":"https://openalex.org/C92207270","wikidata":"https://www.wikidata.org/wiki/Q939253","display_name":"Matrix norm","level":3,"score":0.48587721586227417},{"id":"https://openalex.org/C2989281035","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Signal recovery","level":3,"score":0.4712023437023163},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.45301252603530884},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.43774956464767456},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.43727219104766846},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4066343903541565},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37524086236953735},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36555421352386475},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018401","descriptor_name":"Sample Size","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018401","descriptor_name":"Sample Size","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018401","descriptor_name":"Sample Size","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D044962","descriptor_name":"Data Compression","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D044962","descriptor_name":"Data Compression","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D044962","descriptor_name":"Data Compression","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2014.2329449","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2014.2329449","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:24951688","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24951688","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}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G279463310","display_name":null,"funder_award_id":"61100154","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3232442476","display_name":null,"funder_award_id":"61227004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W67772112","https://openalex.org/W1634387560","https://openalex.org/W1736339626","https://openalex.org/W1916337001","https://openalex.org/W1983288926","https://openalex.org/W1996856541","https://openalex.org/W2002498099","https://openalex.org/W2004544971","https://openalex.org/W2014311222","https://openalex.org/W2016278923","https://openalex.org/W2029816571","https://openalex.org/W2045079989","https://openalex.org/W2047071281","https://openalex.org/W2048695508","https://openalex.org/W2056370875","https://openalex.org/W2091494211","https://openalex.org/W2101675075","https://openalex.org/W2103972604","https://openalex.org/W2107861471","https://openalex.org/W2115706991","https://openalex.org/W2119330592","https://openalex.org/W2122548617","https://openalex.org/W2125680629","https://openalex.org/W2128692736","https://openalex.org/W2136396015","https://openalex.org/W2138265962","https://openalex.org/W2145096794","https://openalex.org/W2145962650","https://openalex.org/W2149934276","https://openalex.org/W2151364185","https://openalex.org/W2161409394","https://openalex.org/W2164278908","https://openalex.org/W2164931791","https://openalex.org/W2167233877","https://openalex.org/W2167577940","https://openalex.org/W2168887049","https://openalex.org/W2296616510","https://openalex.org/W2536599074","https://openalex.org/W3125735862","https://openalex.org/W4233764193","https://openalex.org/W4249760698","https://openalex.org/W4250955649","https://openalex.org/W4285719527","https://openalex.org/W4292363360","https://openalex.org/W6649247925","https://openalex.org/W6682162699","https://openalex.org/W6929385289"],"related_works":["https://openalex.org/W1502442302","https://openalex.org/W2896778670","https://openalex.org/W2087326866","https://openalex.org/W2118132594","https://openalex.org/W2078389543","https://openalex.org/W3024569604","https://openalex.org/W2136676913","https://openalex.org/W3029251452","https://openalex.org/W3040759966","https://openalex.org/W2950736325"],"abstract_inverted_index":{"Sparsity":[0],"has":[1],"been":[2],"widely":[3],"exploited":[4],"for":[5,85,144],"exact":[6],"reconstruction":[7,33],"of":[8,15,62,73,89,98,111],"a":[9,12,46,74,81,100,118],"signal":[10,32],"from":[11],"small":[13],"number":[14],"random":[16],"measurements.":[17],"Recent":[18],"advances":[19],"have":[20,116,130],"suggested":[21],"that":[22,132],"structured":[23,54],"or":[24],"group":[25],"sparsity":[26,55],"often":[27],"leads":[28],"to":[29],"more":[30],"powerful":[31],"techniques":[34,143],"in":[35],"various":[36],"compressed":[37],"sensing":[38],"(CS)":[39],"studies.":[40],"In":[41],"this":[42],"paper,":[43],"we":[44,115],"propose":[45,70],"nonlocal":[47],"low-rank":[48],"regularization":[49],"(NLR)":[50],"approach":[51],"toward":[52],"exploiting":[53],"and":[56,65,94],"explore":[57],"its":[58],"application":[59],"into":[60],"CS":[61,142],"both":[63],"photographic":[64],"MRI":[66],"images.":[67],"We":[68],"also":[69],"the":[71,86,90,96,108,112,122,133],"use":[72],"nonconvex":[75],"log":[76],"det":[77],"(":[78],"X)":[79],"as":[80],"smooth":[82],"surrogate":[83],"function":[84],"rank":[87],"instead":[88],"convex":[91],"nuclear":[92],"norm":[93],"justify":[95],"benefit":[97],"such":[99],"strategy":[101],"using":[102,121],"extensive":[103],"experiments.":[104],"To":[105],"further":[106],"improve":[107],"computational":[109],"efficiency":[110],"proposed":[113,134],"algorithm,":[114],"developed":[117],"fast":[119],"implementation":[120],"alternative":[123],"direction":[124],"multiplier":[125],"method":[126],"technique.":[127],"Experimental":[128],"results":[129],"shown":[131],"NLR-CS":[135],"algorithm":[136],"can":[137],"significantly":[138],"outperform":[139],"existing":[140],"state-of-the-art":[141],"image":[145],"recovery.":[146]},"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":35},{"year":2024,"cited_by_count":47},{"year":2023,"cited_by_count":57},{"year":2022,"cited_by_count":51},{"year":2021,"cited_by_count":64},{"year":2020,"cited_by_count":78},{"year":2019,"cited_by_count":66},{"year":2018,"cited_by_count":74},{"year":2017,"cited_by_count":64},{"year":2016,"cited_by_count":41},{"year":2015,"cited_by_count":20},{"year":2014,"cited_by_count":3}],"updated_date":"2026-04-11T08:14:18.477133","created_date":"2025-10-10T00:00:00"}