{"id":"https://openalex.org/W2077907200","doi":"https://doi.org/10.1109/tip.2011.2173204","title":"Super-Resolution Without Dense Flow","display_name":"Super-Resolution Without Dense Flow","publication_year":2011,"publication_date":"2011-10-24","ids":{"openalex":"https://openalex.org/W2077907200","doi":"https://doi.org/10.1109/tip.2011.2173204","mag":"2077907200","pmid":"https://pubmed.ncbi.nlm.nih.gov/22027381"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2011.2173204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2011.2173204","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/A5113956827","display_name":"Heng Su","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Su","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China. su-h02@mails.tsinghua.edu.cn","Department of Automation, Tsinghua University, Beijing (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China. su-h02@mails.tsinghua.edu.cn","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing (China)","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042765290","display_name":"Ying Wu","orcid":"https://orcid.org/0000-0001-8029-3664"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ying Wu","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, USA","Dept. of Electr. Eng. and Comput. Sci., Northwestern Univ., Evanston, IL, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]},{"raw_affiliation_string":"Dept. of Electr. Eng. and Comput. Sci., Northwestern Univ., Evanston, IL, USA#TAB#","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100620306","display_name":"Jie Zhou","orcid":"https://orcid.org/0000-0001-7701-234X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Zhou","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China","Department of Automation, Tsinghua University, Beijing (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing (China)","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5747,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.91514031,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"21","issue":"4","first_page":"1782","last_page":"1795"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9994999766349792,"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":0.9958000183105469,"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/optical-flow","display_name":"Optical flow","score":0.7603574395179749},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6906942129135132},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6602012515068054},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6264181137084961},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.610161542892456},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.5182452201843262},{"id":"https://openalex.org/keywords/motion-field","display_name":"Motion field","score":0.49250468611717224},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4813045561313629},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.47398868203163147},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.450982928276062},{"id":"https://openalex.org/keywords/structure-from-motion","display_name":"Structure from motion","score":0.44739946722984314},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.42729800939559937},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39931514859199524},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31700819730758667},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2621174454689026}],"concepts":[{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.7603574395179749},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6906942129135132},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6602012515068054},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6264181137084961},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.610161542892456},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.5182452201843262},{"id":"https://openalex.org/C124774092","wikidata":"https://www.wikidata.org/wiki/Q6917782","display_name":"Motion field","level":3,"score":0.49250468611717224},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4813045561313629},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.47398868203163147},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.450982928276062},{"id":"https://openalex.org/C146159030","wikidata":"https://www.wikidata.org/wiki/Q7625099","display_name":"Structure from motion","level":3,"score":0.44739946722984314},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.42729800939559937},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39931514859199524},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31700819730758667},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2621174454689026},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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":"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":"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":"D010781","descriptor_name":"Photography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010781","descriptor_name":"Photography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010781","descriptor_name":"Photography","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":"D014741","descriptor_name":"Video Recording","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":"Q000379","qualifier_name":"methods","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}],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2011.2173204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2011.2173204","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:22027381","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/22027381","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":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1511152586","https://openalex.org/W1971386016","https://openalex.org/W2006262236","https://openalex.org/W2016598597","https://openalex.org/W2045075385","https://openalex.org/W2054134678","https://openalex.org/W2058452082","https://openalex.org/W2060051465","https://openalex.org/W2067042811","https://openalex.org/W2077903051","https://openalex.org/W2092262359","https://openalex.org/W2096683987","https://openalex.org/W2096960845","https://openalex.org/W2100113359","https://openalex.org/W2100315781","https://openalex.org/W2103346247","https://openalex.org/W2106613244","https://openalex.org/W2107384509","https://openalex.org/W2107589634","https://openalex.org/W2109586214","https://openalex.org/W2114380981","https://openalex.org/W2118963448","https://openalex.org/W2137290314","https://openalex.org/W2141985220","https://openalex.org/W2145023731","https://openalex.org/W2145319246","https://openalex.org/W2147863920","https://openalex.org/W2151103935","https://openalex.org/W2160144202","https://openalex.org/W2161516371","https://openalex.org/W2165237836","https://openalex.org/W2165939075","https://openalex.org/W3003662786","https://openalex.org/W6674919402","https://openalex.org/W6677548907","https://openalex.org/W6683613809","https://openalex.org/W6683660953"],"related_works":["https://openalex.org/W1501297619","https://openalex.org/W2354637046","https://openalex.org/W1988727984","https://openalex.org/W1484667368","https://openalex.org/W2026674073","https://openalex.org/W2120943489","https://openalex.org/W2012241496","https://openalex.org/W2030154815","https://openalex.org/W2051121715","https://openalex.org/W13825435"],"abstract_inverted_index":{"Super-resolution":[0],"is":[1,41,49,56,110,130,165],"a":[2,66,92,151],"widely":[3],"applied":[4],"technique":[5],"that":[6,188],"improves":[7],"the":[8,28,37,80,112,120,126,138,170,174,189,200],"resolution":[9],"of":[10,94,173,202],"input":[11,29,81],"images":[12,194],"by":[13,73,90],"software":[14],"methods.":[15],"Most":[16],"conventional":[17,142],"reconstruction-based":[18],"super-resolution":[19],"algorithms":[20],"assume":[21],"accurate":[22,43],"dense":[23,105],"optical":[24,46,106],"flow":[25,47,107,154],"fields":[26],"between":[27,79],"frames,":[30],"and":[31,100,122,185],"their":[32],"performance":[33],"degrades":[34],"rapidly":[35],"when":[36,53],"motion":[38,55,206],"estimation":[39,48],"result":[40],"not":[42],"enough.":[44],"However,":[45],"usually":[50,98,131],"difficult,":[51],"particularly":[52,198],"complicated":[54,205],"presented":[57],"in":[58,119,141,199],"real-world":[59],"videos.":[60],"In":[61,134],"this":[62,71],"paper,":[63],"we":[64,144],"explore":[65],"new":[67],"way":[68],"to":[69,136,168],"solve":[70],"problem":[72],"using":[74],"sparse":[75,139],"feature":[76,84,95,113,127,159],"point":[77,85,128,160],"correspondences":[78,140],"images.":[82],"The":[83,162],"correspondences,":[86],"which":[87],"are":[88,97],"obtained":[89],"matching":[91,124],"set":[93,129],"points,":[96],"precise":[99],"much":[101],"more":[102],"robust":[103],"than":[104],"fields.":[108,207],"This":[109],"because":[111],"points":[114],"represent":[115],"well-selected":[116],"significant":[117],"locations":[118],"image,":[121],"performing":[123],"on":[125,179],"very":[132],"accurate.":[133],"order":[135],"utilize":[137],"super-resolution,":[143],"extract":[145],"an":[146],"adaptive":[147],"support":[148],"region":[149],"with":[150,195],"reliable":[152],"local":[153],"field":[155],"from":[156],"each":[157],"corresponding":[158],"pair.":[161],"normalized":[163],"prior":[164],"also":[166],"proposed":[167,190],"increase":[169],"visual":[171],"consistency":[172],"reconstructed":[175],"result.":[176],"Extensive":[177],"experiments":[178],"real":[180],"data":[181],"were":[182],"carried":[183],"out,":[184],"results":[186],"show":[187],"algorithm":[191],"produces":[192],"high-resolution":[193],"better":[196],"quality,":[197],"presence":[201],"large-scale":[203],"or":[204]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}