{"id":"https://openalex.org/W2534320940","doi":"https://doi.org/10.1109/iccv.2009.5459271","title":"Super-resolution from a single image","display_name":"Super-resolution from a single image","publication_year":2009,"publication_date":"2009-09-01","ids":{"openalex":"https://openalex.org/W2534320940","doi":"https://doi.org/10.1109/iccv.2009.5459271","mag":"2534320940"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2009.5459271","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2009.5459271","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 12th International Conference on Computer Vision","raw_type":"proceedings-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/A5001667895","display_name":"Daniel Gl\u00e4sner","orcid":null},"institutions":[{"id":"https://openalex.org/I53964585","display_name":"Weizmann Institute of Science","ror":"https://ror.org/0316ej306","country_code":"IL","type":"education","lineage":["https://openalex.org/I53964585"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Daniel Glasner","raw_affiliation_strings":["Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel","institution_ids":["https://openalex.org/I53964585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041862255","display_name":"Shai Bagon","orcid":"https://orcid.org/0000-0002-6057-4263"},"institutions":[{"id":"https://openalex.org/I53964585","display_name":"Weizmann Institute of Science","ror":"https://ror.org/0316ej306","country_code":"IL","type":"education","lineage":["https://openalex.org/I53964585"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Shai Bagon","raw_affiliation_strings":["Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel","institution_ids":["https://openalex.org/I53964585"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111953201","display_name":"Michal Irani","orcid":null},"institutions":[{"id":"https://openalex.org/I53964585","display_name":"Weizmann Institute of Science","ror":"https://ror.org/0316ej306","country_code":"IL","type":"education","lineage":["https://openalex.org/I53964585"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Michal Irani","raw_affiliation_strings":["Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel","institution_ids":["https://openalex.org/I53964585"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5001667895"],"corresponding_institution_ids":["https://openalex.org/I53964585"],"apc_list":null,"apc_paid":null,"fwci":56.7892,"has_fulltext":false,"cited_by_count":1890,"citation_normalized_percentile":{"value":0.99930509,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"349","last_page":"356"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9936000108718872,"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":0.9894000291824341,"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/subpixel-rendering","display_name":"Subpixel rendering","score":0.9499300718307495},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6696682572364807},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6560770273208618},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6057562232017517},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5837897062301636},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5660557746887207},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5490019917488098},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.525002121925354},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5224981904029846},{"id":"https://openalex.org/keywords/sub-pixel-resolution","display_name":"Sub-pixel resolution","score":0.4859846532344818},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.42365899682044983},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4218651056289673},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3802122473716736},{"id":"https://openalex.org/keywords/digital-image-processing","display_name":"Digital image processing","score":0.2214508056640625},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09679040312767029},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07001498341560364}],"concepts":[{"id":"https://openalex.org/C68516990","wikidata":"https://www.wikidata.org/wiki/Q452912","display_name":"Subpixel rendering","level":3,"score":0.9499300718307495},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6696682572364807},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6560770273208618},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6057562232017517},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5837897062301636},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5660557746887207},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5490019917488098},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.525002121925354},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5224981904029846},{"id":"https://openalex.org/C152363868","wikidata":"https://www.wikidata.org/wiki/Q7630627","display_name":"Sub-pixel resolution","level":5,"score":0.4859846532344818},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.42365899682044983},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4218651056289673},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3802122473716736},{"id":"https://openalex.org/C104317675","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Digital image processing","level":4,"score":0.2214508056640625},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09679040312767029},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07001498341560364},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iccv.2009.5459271","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2009.5459271","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 12th International Conference on Computer Vision","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.159.51","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.159.51","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.wisdom.weizmann.ac.il/~vision/single_image_SR/files/single_image_SR.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1507924120","https://openalex.org/W1574700824","https://openalex.org/W1895520453","https://openalex.org/W2053967781","https://openalex.org/W2061398022","https://openalex.org/W2071866949","https://openalex.org/W2087380704","https://openalex.org/W2097074225","https://openalex.org/W2099470017","https://openalex.org/W2115273023","https://openalex.org/W2116013899","https://openalex.org/W2136396015","https://openalex.org/W2137290314","https://openalex.org/W2140257560","https://openalex.org/W2146914716","https://openalex.org/W2149760002","https://openalex.org/W2163523041","https://openalex.org/W2163935418","https://openalex.org/W2165939075","https://openalex.org/W2295477204","https://openalex.org/W6668499198","https://openalex.org/W6677100435","https://openalex.org/W6682061920","https://openalex.org/W6683680428","https://openalex.org/W6683809815"],"related_works":["https://openalex.org/W1971218353","https://openalex.org/W2063406554","https://openalex.org/W2137653915","https://openalex.org/W4312705334","https://openalex.org/W2004818310","https://openalex.org/W2724608817","https://openalex.org/W3088281917","https://openalex.org/W2049925947","https://openalex.org/W2048225904","https://openalex.org/W1970680862"],"abstract_inverted_index":{"Methods":[0],"for":[1,47],"super-resolution":[2,16,26],"can":[3,61],"be":[4,62],"broadly":[5],"classified":[6],"into":[7],"two":[8,50],"families":[9,51],"of":[10,52,115,133,138],"methods:":[11],"(i)":[12],"The":[13],"classical":[14,129],"multi-image":[15],"(combining":[17],"images":[18],"obtained":[19],"at":[20,152],"subpixel":[21,123],"misalignments),":[22],"and":[23,31,166],"(ii)":[24],"Example-Based":[25],"(learning":[27],"correspondence":[28],"between":[29],"low":[30],"high":[32],"resolution":[33,67,158],"image":[34,74,93,120,141],"patches":[35,89,116,134],"from":[36,68],"a":[37,44,72,91],"database).":[38],"In":[39],"this":[40,58],"paper":[41],"we":[42],"propose":[43],"unified":[45],"framework":[46],"combining":[48],"these":[49],"methods.":[53],"We":[54],"further":[55],"show":[56],"how":[57],"combined":[59],"approach":[60,82,148],"applied":[63],"to":[64,95,127,144,150],"obtain":[65],"super":[66],"as":[69,71,108,110],"little":[70],"single":[73],"(with":[75],"no":[76],"database":[77],"or":[78],"prior":[79],"examples).":[80],"Our":[81,147],"is":[83],"based":[84,160],"on":[85,161],"the":[86,101,105,118,128,139],"observation":[87],"that":[88],"in":[90],"natural":[92],"tend":[94],"redundantly":[96],"recur":[97],"many":[98],"times":[99],"inside":[100],"image,":[102],"both":[103],"within":[104,117,165],"same":[106,119,140],"scale,":[107],"well":[109],"across":[111,135,167],"different":[112,136],"scales.":[113,168],"Recurrence":[114],"scale":[121],"(at":[122],"misalignments)":[124],"gives":[125,142],"rise":[126,143],"super-resolution,":[130],"whereas":[131],"recurrence":[132],"scales":[137],"example-based":[145],"super-resolution.":[146],"attempts":[149],"recover":[151],"each":[153],"pixel":[154],"its":[155,162],"best":[156],"possible":[157],"increase":[159],"patch":[163],"redundancy":[164]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":41},{"year":2024,"cited_by_count":85},{"year":2023,"cited_by_count":98},{"year":2022,"cited_by_count":101},{"year":2021,"cited_by_count":154},{"year":2020,"cited_by_count":175},{"year":2019,"cited_by_count":162},{"year":2018,"cited_by_count":180},{"year":2017,"cited_by_count":164},{"year":2016,"cited_by_count":160},{"year":2015,"cited_by_count":149},{"year":2014,"cited_by_count":139},{"year":2013,"cited_by_count":103},{"year":2012,"cited_by_count":75}],"updated_date":"2026-05-20T08:49:12.498775","created_date":"2025-10-10T00:00:00"}