{"id":"https://openalex.org/W2910720943","doi":"https://doi.org/10.1109/aiccsa.2018.8612846","title":"Neural Approach for the Magnification of Low-Resolution Document Images","display_name":"Neural Approach for the Magnification of Low-Resolution Document Images","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2910720943","doi":"https://doi.org/10.1109/aiccsa.2018.8612846","mag":"2910720943"},"language":"en","primary_location":{"id":"doi:10.1109/aiccsa.2018.8612846","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiccsa.2018.8612846","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/ACS 15th International Conference on Computer Systems and Applications (AICCSA)","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/A5002541346","display_name":"Zakia Kezzoula","orcid":null},"institutions":[{"id":"https://openalex.org/I3121272148","display_name":"University of Boumerdes","ror":"https://ror.org/02dveg925","country_code":"DZ","type":"education","lineage":["https://openalex.org/I3121272148"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Zakia Kezzoula","raw_affiliation_strings":["Faculty of Science, Boumerdes University, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Science, Boumerdes University, Algeria","institution_ids":["https://openalex.org/I3121272148"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039775002","display_name":"Soumia Faouci","orcid":null},"institutions":[{"id":"https://openalex.org/I3121272148","display_name":"University of Boumerdes","ror":"https://ror.org/02dveg925","country_code":"DZ","type":"education","lineage":["https://openalex.org/I3121272148"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Soumia Faouci","raw_affiliation_strings":["Faculty of Science, Boumerdes University, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Science, Boumerdes University, Algeria","institution_ids":["https://openalex.org/I3121272148"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072688521","display_name":"Djamel Gaceb","orcid":null},"institutions":[{"id":"https://openalex.org/I4210155607","display_name":"Laboratoire d'Informatique en Images et Syst\u00e8mes d'Information","ror":"https://ror.org/04dv4he91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100532134","https://openalex.org/I112936343","https://openalex.org/I1294671590","https://openalex.org/I188626449","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I4210155607","https://openalex.org/I48430043"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Djamel Gaceb","raw_affiliation_strings":["LOMOSE (UMBB) & LIRIS(INSA)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LOMOSE (UMBB) & LIRIS(INSA)","institution_ids":["https://openalex.org/I4210155607"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.17013994,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"38","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9923999905586243,"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":0.9782999753952026,"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/magnification","display_name":"Magnification","score":0.7652043104171753},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6625831127166748},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6303461194038391},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.5856159329414368},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5803903341293335},{"id":"https://openalex.org/keywords/low-resolution","display_name":"Low resolution","score":0.43764933943748474},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.43258509039878845},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3895680904388428},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.24174854159355164},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11082422733306885},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.0855134129524231}],"concepts":[{"id":"https://openalex.org/C4144372","wikidata":"https://www.wikidata.org/wiki/Q675287","display_name":"Magnification","level":2,"score":0.7652043104171753},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6625831127166748},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6303461194038391},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.5856159329414368},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5803903341293335},{"id":"https://openalex.org/C3019883945","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Low resolution","level":3,"score":0.43764933943748474},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.43258509039878845},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3895680904388428},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.24174854159355164},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11082422733306885},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.0855134129524231}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aiccsa.2018.8612846","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiccsa.2018.8612846","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/ACS 15th International Conference on Computer Systems and Applications (AICCSA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1550607661","https://openalex.org/W1601729531","https://openalex.org/W1861704914","https://openalex.org/W1885185971","https://openalex.org/W1977937836","https://openalex.org/W2020455334","https://openalex.org/W2088254198","https://openalex.org/W2093633095","https://openalex.org/W2117614074","https://openalex.org/W2119873157","https://openalex.org/W2123613719","https://openalex.org/W2134120396","https://openalex.org/W2164551808","https://openalex.org/W2172128189","https://openalex.org/W2181684124","https://openalex.org/W2182979490","https://openalex.org/W2534320940","https://openalex.org/W2562716910","https://openalex.org/W2915527102","https://openalex.org/W3043538212","https://openalex.org/W3101707638","https://openalex.org/W4377561911","https://openalex.org/W6632970403","https://openalex.org/W6635872530","https://openalex.org/W6642928050","https://openalex.org/W6662276203","https://openalex.org/W6686302387","https://openalex.org/W6731114132","https://openalex.org/W6781412027"],"related_works":["https://openalex.org/W2362774332","https://openalex.org/W251433779","https://openalex.org/W201295475","https://openalex.org/W2037893049","https://openalex.org/W4249245269","https://openalex.org/W2025681766","https://openalex.org/W2765548132","https://openalex.org/W2542402767","https://openalex.org/W3023086044","https://openalex.org/W2142226356"],"abstract_inverted_index":{"This":[0,19,132],"paper":[1],"proposes":[2],"a":[3,24,67,72,97,118,134],"new":[4,135],"super-resolution":[5,119],"method":[6,27],"for":[7,129],"degraded":[8,38],"images":[9],"of":[10,23,50,59,81,89,96,117,141],"documents,":[11],"captured":[12],"in":[13,41,63,144],"low":[14,35],"resolution":[15],"by":[16,30,43,93],"mobile":[17],"device.":[18],"is":[20,53,133],"an":[21],"improvement":[22],"non-linear":[25],"existed":[26,91],"but":[28],"limited":[29],"its":[31,130],"high":[32],"complexity":[33],"and":[34,121],"quality":[36],"on":[37,101],"images,":[39,51],"caused":[40],"general":[42],"the":[44,57,60,79,87,90,94,115,138],"JPEG":[45],"compression.":[46],"On":[47],"this":[48],"category":[49],"it":[52,123],"necessary":[54],"to":[55,65,113,125,137],"increase":[56],"perimeter":[58],"local":[61],"analysis":[62],"order":[64],"obtain":[66],"better":[68],"visual":[69],"rendering":[70],"with":[71],"reduced":[73],"complexity.":[74],"These":[75],"constraints":[76],"have":[77,107],"been":[78],"target":[80],"our":[82],"contribution,":[83],"which":[84],"aims":[85],"at":[86],"linearization":[88],"approach":[92,99,120],"use":[95,140],"bio-inspired":[98],"based":[100],"multilayer":[102],"perceptron":[103],"neural":[104,142],"networks.":[105],"We":[106],"demonstrated":[108],"that":[109],"they":[110],"are":[111],"able":[112],"learn":[114],"mechanism":[116],"make":[122],"possible":[124],"extend":[126],"it,":[127],"essential":[128],"quality.":[131],"alternative":[136],"conventional":[139],"approaches":[143],"image":[145],"magnification.":[146]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}