{"id":"https://openalex.org/W2032024719","doi":"https://doi.org/10.1109/tcsvt.2014.2372351","title":"Image Interpolation via Low-Rank Matrix Completion and Recovery","display_name":"Image Interpolation via Low-Rank Matrix Completion and Recovery","publication_year":2014,"publication_date":"2014-12-02","ids":{"openalex":"https://openalex.org/W2032024719","doi":"https://doi.org/10.1109/tcsvt.2014.2372351","mag":"2032024719"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2014.2372351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2014.2372351","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":["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/A5045211553","display_name":"Feilong Cao","orcid":"https://orcid.org/0000-0002-1690-5694"},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feilong Cao","raw_affiliation_strings":["Department of Information and Mathematics Sciences, China Jiliang University, Hangzhou, China","Department of information and mathematics Sciences, China Jiliang University, Hangzhou, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Information and Mathematics Sciences, China Jiliang University, Hangzhou, China","institution_ids":["https://openalex.org/I55538621"]},{"raw_affiliation_string":"Department of information and mathematics Sciences, China Jiliang University, Hangzhou, China#TAB#","institution_ids":["https://openalex.org/I55538621"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100913942","display_name":"Miaomiao Cai","orcid":"https://orcid.org/0000-0001-9363-3621"},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miaomiao Cai","raw_affiliation_strings":["Department of Information and Mathematics Sciences, China Jiliang University, Hangzhou, China","Department of information and mathematics Sciences, China Jiliang University, Hangzhou, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Information and Mathematics Sciences, China Jiliang University, Hangzhou, China","institution_ids":["https://openalex.org/I55538621"]},{"raw_affiliation_string":"Department of information and mathematics Sciences, China Jiliang University, Hangzhou, China#TAB#","institution_ids":["https://openalex.org/I55538621"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101030824","display_name":"Yuanpeng Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanpeng Tan","raw_affiliation_strings":["Department of Information and Mathematics Sciences, China Jiliang University, Hangzhou, China","Department of information and mathematics Sciences, China Jiliang University, Hangzhou, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Information and Mathematics Sciences, China Jiliang University, Hangzhou, China","institution_ids":["https://openalex.org/I55538621"]},{"raw_affiliation_string":"Department of information and mathematics Sciences, China Jiliang University, Hangzhou, China#TAB#","institution_ids":["https://openalex.org/I55538621"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045211553"],"corresponding_institution_ids":["https://openalex.org/I55538621"],"apc_list":null,"apc_paid":null,"fwci":4.1458,"has_fulltext":false,"cited_by_count":64,"citation_normalized_percentile":{"value":0.95332026,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"25","issue":"8","first_page":"1261","last_page":"1270"},"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":0.9988999962806702,"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":0.9966999888420105,"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/matrix-completion","display_name":"Matrix completion","score":0.5552291870117188},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5479611158370972},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5337693691253662},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5242369771003723},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5073136687278748},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.49936914443969727},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.4831823408603668},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47050660848617554},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4571859538555145},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45373788475990295},{"id":"https://openalex.org/keywords/low-rank-approximation","display_name":"Low-rank approximation","score":0.4526037573814392},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.44765153527259827},{"id":"https://openalex.org/keywords/stairstep-interpolation","display_name":"Stairstep interpolation","score":0.4356878995895386},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.41583144664764404},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41253364086151123},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3290250897407532},{"id":"https://openalex.org/keywords/linear-interpolation","display_name":"Linear interpolation","score":0.30126887559890747},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2628132104873657}],"concepts":[{"id":"https://openalex.org/C2778459887","wikidata":"https://www.wikidata.org/wiki/Q6787865","display_name":"Matrix completion","level":3,"score":0.5552291870117188},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5479611158370972},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5337693691253662},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5242369771003723},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5073136687278748},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.49936914443969727},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.4831823408603668},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47050660848617554},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4571859538555145},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45373788475990295},{"id":"https://openalex.org/C90199385","wikidata":"https://www.wikidata.org/wiki/Q6692777","display_name":"Low-rank approximation","level":3,"score":0.4526037573814392},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.44765153527259827},{"id":"https://openalex.org/C119768884","wikidata":"https://www.wikidata.org/wiki/Q7597108","display_name":"Stairstep interpolation","level":4,"score":0.4356878995895386},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.41583144664764404},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41253364086151123},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3290250897407532},{"id":"https://openalex.org/C171836373","wikidata":"https://www.wikidata.org/wiki/Q2266329","display_name":"Linear interpolation","level":3,"score":0.30126887559890747},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2628132104873657},{"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/C25023664","wikidata":"https://www.wikidata.org/wiki/Q1575637","display_name":"Hankel matrix","level":2,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2014.2372351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2014.2372351","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2619002669","display_name":null,"funder_award_id":"61272023","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G829756253","display_name":null,"funder_award_id":"91330118","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W33296041","https://openalex.org/W1487520337","https://openalex.org/W1736339626","https://openalex.org/W1791560514","https://openalex.org/W1973794531","https://openalex.org/W1983614167","https://openalex.org/W1992408872","https://openalex.org/W1999666556","https://openalex.org/W2003753589","https://openalex.org/W2028781966","https://openalex.org/W2044011870","https://openalex.org/W2053186076","https://openalex.org/W2054439121","https://openalex.org/W2056758595","https://openalex.org/W2064451467","https://openalex.org/W2064973427","https://openalex.org/W2065277358","https://openalex.org/W2067042811","https://openalex.org/W2067108728","https://openalex.org/W2067625321","https://openalex.org/W2076959472","https://openalex.org/W2091449379","https://openalex.org/W2097074225","https://openalex.org/W2103844245","https://openalex.org/W2103972604","https://openalex.org/W2104876002","https://openalex.org/W2111634407","https://openalex.org/W2118550318","https://openalex.org/W2118963448","https://openalex.org/W2119499160","https://openalex.org/W2121058967","https://openalex.org/W2124378283","https://openalex.org/W2125188192","https://openalex.org/W2129131372","https://openalex.org/W2131024476","https://openalex.org/W2131628350","https://openalex.org/W2134149431","https://openalex.org/W2134332047","https://openalex.org/W2137577104","https://openalex.org/W2145096794","https://openalex.org/W2145962650","https://openalex.org/W2157190232","https://openalex.org/W2157494358","https://openalex.org/W2161516371","https://openalex.org/W2164551808","https://openalex.org/W2172128189","https://openalex.org/W2364741859","https://openalex.org/W2534320940","https://openalex.org/W2611328865","https://openalex.org/W3104624268","https://openalex.org/W6601367452","https://openalex.org/W6629166676","https://openalex.org/W6676509103","https://openalex.org/W6683660953","https://openalex.org/W6929385289"],"related_works":["https://openalex.org/W2952489973","https://openalex.org/W2106005123","https://openalex.org/W4300776969","https://openalex.org/W2266965707","https://openalex.org/W2108753466","https://openalex.org/W2084983808","https://openalex.org/W2906317811","https://openalex.org/W4318564253","https://openalex.org/W2994409951","https://openalex.org/W2402491700"],"abstract_inverted_index":{"Methods":[0],"of":[1,10,86,95,116],"achieving":[2],"image":[3,23,33,69],"super-resolution":[4],"(SR)":[5],"have":[6],"been":[7],"the":[8,37,41,45,59,83,87,93,111,114,125,132,151],"object":[9],"research":[11],"for":[12,103],"some":[13],"time.":[14],"These":[15],"approaches":[16],"suggest":[17],"that":[18,150],"when":[19],"a":[20,54,67,71,101,117],"low-resolution":[21],"(LR)":[22],"is":[24,40,53,107,154],"directly":[25],"down":[26],"sampled":[27],"from":[28,70],"its":[29],"corresponding":[30],"high-resolution":[31],"(HR)":[32],"without":[34],"blurring,":[35],"i.e.,":[36],"blurring":[38],"kernel":[39],"Dirac":[42],"delta":[43],"function,":[44],"reconstruction":[46,112],"becomes":[47],"an":[48,78],"image-interpolation":[49],"problem.":[50],"Hence,":[51],"this":[52],"pervasive":[55],"way":[56],"to":[57,65,81,92,138],"explore":[58],"linear":[60,88],"relationship":[61],"among":[62],"neighboring":[63],"pixels":[64],"reconstruct":[66],"HR":[68],"LR":[72],"input":[73],"image.":[74],"This":[75],"paper":[76],"seeks":[77],"efficient":[79],"method":[80,102,134,153],"determine":[82],"local":[84],"order":[85],"model":[89],"implicitly.":[90],"According":[91],"theory":[94],"low-rank":[96,118],"matrix":[97],"completion":[98],"and":[99,142,156],"recovery,":[100],"performing":[104],"single-image":[105],"SR":[106],"proposed":[108,133,152],"by":[109,124],"formulating":[110],"as":[113],"recovery":[115],"matrix,":[119],"which":[120],"can":[121,135],"be":[122,136],"solved":[123],"augmented":[126],"Lagrange":[127],"multiplier":[128],"method.":[129],"In":[130],"addition,":[131],"used":[137],"handle":[139],"noisy":[140],"data":[141],"random":[143],"perturbations":[144],"robustly.":[145],"The":[146],"experimental":[147],"results":[148],"show":[149],"effective":[155],"competitive":[157],"compared":[158],"with":[159],"other":[160],"methods.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
