{"id":"https://openalex.org/W2041844466","doi":"https://doi.org/10.1109/lsp.2013.2286417","title":"Low-Rank Neighbor Embedding for Single Image Super-Resolution","display_name":"Low-Rank Neighbor Embedding for Single Image Super-Resolution","publication_year":2013,"publication_date":"2013-10-18","ids":{"openalex":"https://openalex.org/W2041844466","doi":"https://doi.org/10.1109/lsp.2013.2286417","mag":"2041844466"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2013.2286417","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2013.2286417","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5100628255","display_name":"Xiaoxuan Chen","orcid":"https://orcid.org/0000-0002-2029-2448"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoxuan Chen","raw_affiliation_strings":["Department of Information and communication Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China","Dept. of Information and Communication Eng, Xi\u2019an Jiaotong University, Xi\u2019an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and communication Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Dept. of Information and Communication Eng, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111564947","display_name":"Chun Qi","orcid":"https://orcid.org/0000-0003-1430-6011"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun Qi","raw_affiliation_strings":["Department of Information and communication Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China","Dept. of Information and Communication Eng, Xi\u2019an Jiaotong University, Xi\u2019an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and communication Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Dept. of Information and Communication Eng, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100628255"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":5.7997,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.96668626,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"21","issue":"1","first_page":"79","last_page":"82"},"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":0.998199999332428,"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":0.9975000023841858,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6966111660003662},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6902830600738525},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6888763308525085},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6535239219665527},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.5966243147850037},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5498408079147339},{"id":"https://openalex.org/keywords/low-resolution","display_name":"Low resolution","score":0.5388400554656982},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5377355813980103},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.49716904759407043},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4621347486972809},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4350830614566803},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3404175043106079},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.266075074672699},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.11514773964881897},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06904670596122742}],"concepts":[{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6966111660003662},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6902830600738525},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6888763308525085},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6535239219665527},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.5966243147850037},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5498408079147339},{"id":"https://openalex.org/C3019883945","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Low resolution","level":3,"score":0.5388400554656982},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5377355813980103},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.49716904759407043},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4621347486972809},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4350830614566803},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3404175043106079},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.266075074672699},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.11514773964881897},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06904670596122742},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2013.2286417","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2013.2286417","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W33208438","https://openalex.org/W1736339626","https://openalex.org/W1994204330","https://openalex.org/W2016598597","https://openalex.org/W2035746673","https://openalex.org/W2067625321","https://openalex.org/W2088254198","https://openalex.org/W2097074225","https://openalex.org/W2099470017","https://openalex.org/W2118963448","https://openalex.org/W2121058967","https://openalex.org/W2121927366","https://openalex.org/W2124378283","https://openalex.org/W2140257560","https://openalex.org/W2145962650","https://openalex.org/W2534320940","https://openalex.org/W6601400089","https://openalex.org/W6659319144","https://openalex.org/W6929385289"],"related_works":["https://openalex.org/W2280716820","https://openalex.org/W2159754708","https://openalex.org/W1996212758","https://openalex.org/W2041844466","https://openalex.org/W3097784260","https://openalex.org/W2166009532","https://openalex.org/W2085463895","https://openalex.org/W2373983140","https://openalex.org/W4312916146","https://openalex.org/W2329503502"],"abstract_inverted_index":{"This":[0],"letter":[1],"proposes":[2],"a":[3],"novel":[4],"single":[5],"image":[6],"super-resolution":[7],"(SR)":[8],"method":[9],"based":[10],"on":[11,63],"the":[12,26,36,45,52,64],"low-rank":[13,66],"matrix":[14],"recovery":[15],"(LRMR)":[16],"and":[17,70,90],"neighbor":[18],"embedding":[19],"(NE).":[20],"LRMR":[21,46],"is":[22,48,61],"used":[23],"to":[24,50,73],"explore":[25],"underlying":[27],"structures":[28],"of":[29,55,68],"subspaces":[30],"spanned":[31],"by":[32],"similar":[33],"patches.":[34],"Specifically,":[35],"training":[37],"patches":[38,72],"are":[39],"first":[40],"divided":[41],"into":[42],"groups.":[43],"Then":[44],"technique":[47],"utilized":[49],"learn":[51],"latent":[53],"structure":[54],"each":[56],"group.":[57],"The":[58],"NE":[59],"algorithm":[60],"performed":[62],"learnt":[65],"components":[67],"HR":[69],"LR":[71],"produce":[74],"SR":[75],"results.":[76],"Experimental":[77],"results":[78],"suggest":[79],"that":[80],"our":[81],"approach":[82],"can":[83],"reconstruct":[84],"high":[85],"quality":[86],"images":[87],"both":[88],"quantitatively":[89],"perceptually.":[91]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":10},{"year":2014,"cited_by_count":3}],"updated_date":"2026-05-20T08:49:12.498775","created_date":"2025-10-10T00:00:00"}
