{"id":"https://openalex.org/W2028869821","doi":"https://doi.org/10.1145/2432553.2432558","title":"Super-resolution of single text image by sparse representation","display_name":"Super-resolution of single text image by sparse representation","publication_year":2012,"publication_date":"2012-12-16","ids":{"openalex":"https://openalex.org/W2028869821","doi":"https://doi.org/10.1145/2432553.2432558","mag":"2028869821"},"language":"en","primary_location":{"id":"doi:10.1145/2432553.2432558","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2432553.2432558","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceeding of the workshop on Document Analysis and Recognition","raw_type":"proceedings-article"},"type":"preprint","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/A5054341952","display_name":"Rim Walha","orcid":"https://orcid.org/0000-0002-0483-6329"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Rim Walha","raw_affiliation_strings":["National School of Engineers of Sfax, Sfax, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National School of Engineers of Sfax, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008726569","display_name":"Fadoua Drira","orcid":"https://orcid.org/0000-0001-6706-4218"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Fadoua Drira","raw_affiliation_strings":["National School of Engineers of Sfax, Sfax, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National School of Engineers of Sfax, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103455376","display_name":"Franck Lebourgeois","orcid":null},"institutions":[{"id":"https://openalex.org/I48430043","display_name":"Institut National des Sciences Appliqu\u00e9es de Lyon","ror":"https://ror.org/050jn9y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I203339264","https://openalex.org/I48430043"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Franck Lebourgeois","raw_affiliation_strings":["INSA Lyon, Villeurbanne, Lyon, France","INSA Lyon, Villeurbanne, Lyon, France#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INSA Lyon, Villeurbanne, Lyon, France","institution_ids":["https://openalex.org/I48430043"]},{"raw_affiliation_string":"INSA Lyon, Villeurbanne, Lyon, France#TAB#","institution_ids":["https://openalex.org/I48430043"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053613060","display_name":"Adel M. Alimi","orcid":"https://orcid.org/0000-0002-0642-3384"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Adel M. Alimi","raw_affiliation_strings":["National School of Engineers of Sfax, Sfax, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National School of Engineers of Sfax, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7764,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.91457077,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"22","last_page":"29"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9984999895095825,"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":0.9972000122070312,"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/sparse-approximation","display_name":"Sparse approximation","score":0.7890695929527283},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7790720462799072},{"id":"https://openalex.org/keywords/k-svd","display_name":"K-SVD","score":0.7232086658477783},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6987931728363037},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.6919571757316589},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6616795063018799},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.6048653721809387},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5857876539230347},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5263641476631165},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4966006875038147},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4488164484500885},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1469186246395111}],"concepts":[{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.7890695929527283},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7790720462799072},{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.7232086658477783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6987931728363037},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.6919571757316589},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6616795063018799},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.6048653721809387},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5857876539230347},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5263641476631165},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4966006875038147},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4488164484500885},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1469186246395111},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2432553.2432558","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2432553.2432558","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceeding of the workshop on Document Analysis and Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01353158v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01353158","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Workshop on. Document Analysis and Recognition, Dec 2012, IIT Bombay, India. pp.22-29, ⟨10.1145/2432553.2432558⟩","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7599999904632568,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W34676483","https://openalex.org/W1507924120","https://openalex.org/W1542679473","https://openalex.org/W1960682387","https://openalex.org/W1973631246","https://openalex.org/W2001496424","https://openalex.org/W2014391386","https://openalex.org/W2016598597","https://openalex.org/W2037712231","https://openalex.org/W2074376560","https://openalex.org/W2078204800","https://openalex.org/W2097074225","https://openalex.org/W2099470017","https://openalex.org/W2105464873","https://openalex.org/W2113606819","https://openalex.org/W2114147096","https://openalex.org/W2114398647","https://openalex.org/W2115683997","https://openalex.org/W2118963448","https://openalex.org/W2121058967","https://openalex.org/W2128659236","https://openalex.org/W2133286006","https://openalex.org/W2134929929","https://openalex.org/W2140257560","https://openalex.org/W2145889472","https://openalex.org/W2149760002","https://openalex.org/W2151693816","https://openalex.org/W2160547390","https://openalex.org/W2161516371","https://openalex.org/W2163523041","https://openalex.org/W2163935418","https://openalex.org/W2164035425","https://openalex.org/W2164792877","https://openalex.org/W2172128189","https://openalex.org/W2503697509","https://openalex.org/W2534320940","https://openalex.org/W2623012778","https://openalex.org/W2803761736","https://openalex.org/W2990138404","https://openalex.org/W6630453208","https://openalex.org/W6676903177","https://openalex.org/W6676981982","https://openalex.org/W6677548907","https://openalex.org/W6679877908","https://openalex.org/W7075269551"],"related_works":["https://openalex.org/W2016265625","https://openalex.org/W2111634407","https://openalex.org/W2552089492","https://openalex.org/W2982240858","https://openalex.org/W4205656132","https://openalex.org/W2008821896","https://openalex.org/W3004790527","https://openalex.org/W2067062989","https://openalex.org/W2080187108","https://openalex.org/W634011990"],"abstract_inverted_index":{"This":[0,88],"paper":[1],"addresses":[2],"the":[3,70,106,119,147,161,164],"problem":[4],"of":[5,40,76,100,124,149,163],"generating":[6],"a":[7,12,36,43,51,101,114],"super-resolved":[8],"text":[9,77,141,150],"image":[10,29,103,116,151],"from":[11,42,60,105,118],"single":[13],"low-resolution":[14],"image.":[15],"The":[16,97,122],"proposed":[17,165],"Super-Resolution":[18],"(SR)":[19],"method":[20,167],"is":[21,58,69,90,127],"based":[22],"on":[23,153],"sparse":[24,37,98],"coding":[25],"which":[26],"suggests":[27],"that":[28],"patches":[30],"can":[31,109],"be":[32,80,110],"well":[33],"represented":[34],"as":[35],"linear":[38],"combination":[39],"elements":[41],"suitably":[44],"chosen":[45],"learned":[46],"dictionary.":[47,121],"Toward":[48],"this":[49],"strategy,":[50],"High-Resolution/Low-Resolution":[52],"(HR/LR)":[53],"patch":[54,104,117],"pair":[55],"data":[56],"base":[57],"collected":[59],"high":[61],"quality":[62],"character":[63],"images.":[64,142],"To":[65],"our":[66],"knowledge,":[67],"it":[68],"first":[71,107],"generic":[72],"database":[73,89],"allowing":[74],"SR":[75,137,166],"images":[78],"may":[79],"contained":[81],"in":[82],"documents,":[83],"signs,":[84],"labels,":[85],"bills,":[86],"etc.":[87],"used":[91],"to":[92,112,134,140,169],"train":[93],"jointly":[94],"two":[95],"dictionaries.":[96],"representation":[99],"LR":[102],"dictionary":[108],"applied":[111,139],"generate":[113],"HR":[115],"second":[120],"performance":[123,156],"such":[125],"approach":[126],"evaluated":[128],"and":[129,132,157],"compared":[130,168],"visually":[131],"quantitatively":[133],"other":[135],"existing":[136],"methods":[138],"In":[143],"addition,":[144],"we":[145,158],"examine":[146],"influence":[148],"resolution":[152],"automatic":[154],"recognition":[155],"further":[159],"justify":[160],"effectiveness":[162],"others.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}