{"id":"https://openalex.org/W4308428074","doi":"https://doi.org/10.1109/icstcc55426.2022.9931762","title":"End-to-End Single Image Super-Resolution Based on Convolutional Neural Networks","display_name":"End-to-End Single Image Super-Resolution Based on Convolutional Neural Networks","publication_year":2022,"publication_date":"2022-10-19","ids":{"openalex":"https://openalex.org/W4308428074","doi":"https://doi.org/10.1109/icstcc55426.2022.9931762"},"language":"en","primary_location":{"id":"doi:10.1109/icstcc55426.2022.9931762","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icstcc55426.2022.9931762","pdf_url":null,"source":{"id":"https://openalex.org/S4363608485","display_name":"2022 26th International Conference on System Theory, Control and Computing (ICSTCC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 26th International Conference on System Theory, Control and Computing (ICSTCC)","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/A5085283008","display_name":"Lavinia Ferariu","orcid":"https://orcid.org/0000-0001-5758-6696"},"institutions":[{"id":"https://openalex.org/I4210108695","display_name":"Gheorghe Asachi Technical University of Ia\u0219i","ror":"https://ror.org/014zxnz40","country_code":"RO","type":"education","lineage":["https://openalex.org/I4210108695"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Lavinia Ferariu","raw_affiliation_strings":["Gheorghe Asachi Technical University of Iasi,Dept. of Automatic Control and Applied Informatics,Iasi,Romania","Dept. of Automatic Control and Applied Informatics, Gheorghe Asachi Technical University of Iasi, Iasi, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gheorghe Asachi Technical University of Iasi,Dept. of Automatic Control and Applied Informatics,Iasi,Romania","institution_ids":["https://openalex.org/I4210108695"]},{"raw_affiliation_string":"Dept. of Automatic Control and Applied Informatics, Gheorghe Asachi Technical University of Iasi, Iasi, Romania","institution_ids":["https://openalex.org/I4210108695"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071341874","display_name":"Iosif-Alin Beti","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108695","display_name":"Gheorghe Asachi Technical University of Ia\u0219i","ror":"https://ror.org/014zxnz40","country_code":"RO","type":"education","lineage":["https://openalex.org/I4210108695"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Iosif-Alin Beti","raw_affiliation_strings":["Gheorghe Asachi Technical University of Iasi,Dept. of Automatic Control and Applied Informatics,Iasi,Romania","Dept. of Automatic Control and Applied Informatics, Gheorghe Asachi Technical University of Iasi, Iasi, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gheorghe Asachi Technical University of Iasi,Dept. of Automatic Control and Applied Informatics,Iasi,Romania","institution_ids":["https://openalex.org/I4210108695"]},{"raw_affiliation_string":"Dept. of Automatic Control and Applied Informatics, Gheorghe Asachi Technical University of Iasi, Iasi, Romania","institution_ids":["https://openalex.org/I4210108695"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10967559,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":null,"first_page":"277","last_page":"282"},"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":0.9983000159263611,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9927999973297119,"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/upsampling","display_name":"Upsampling","score":0.9003078937530518},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7812227010726929},{"id":"https://openalex.org/keywords/luminance","display_name":"Luminance","score":0.7471573352813721},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7291042804718018},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7261865139007568},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6240264177322388},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.593473494052887},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5743679404258728},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5335133075714111},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5061573386192322},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49411728978157043},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44671767950057983},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36542683839797974},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2038768231868744},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06046876311302185}],"concepts":[{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.9003078937530518},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7812227010726929},{"id":"https://openalex.org/C73313986","wikidata":"https://www.wikidata.org/wiki/Q355386","display_name":"Luminance","level":2,"score":0.7471573352813721},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7291042804718018},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7261865139007568},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6240264177322388},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.593473494052887},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5743679404258728},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5335133075714111},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5061573386192322},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49411728978157043},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44671767950057983},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36542683839797974},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2038768231868744},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06046876311302185},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icstcc55426.2022.9931762","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icstcc55426.2022.9931762","pdf_url":null,"source":{"id":"https://openalex.org/S4363608485","display_name":"2022 26th International Conference on System Theory, Control and Computing (ICSTCC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 26th International Conference on System Theory, Control and Computing (ICSTCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W2079302740","https://openalex.org/W2102166818","https://openalex.org/W2146200771","https://openalex.org/W2163935418","https://openalex.org/W2242218935","https://openalex.org/W2887695188","https://openalex.org/W2963470893","https://openalex.org/W2983469640","https://openalex.org/W3096281486","https://openalex.org/W3124561108","https://openalex.org/W3127131477","https://openalex.org/W3198224244","https://openalex.org/W3202956773","https://openalex.org/W3211215623","https://openalex.org/W3212854333","https://openalex.org/W4210496760","https://openalex.org/W4213374277","https://openalex.org/W6602211262","https://openalex.org/W6683680428"],"related_works":["https://openalex.org/W2062399876","https://openalex.org/W2607795551","https://openalex.org/W3155117723","https://openalex.org/W1991429770","https://openalex.org/W1983892167","https://openalex.org/W2281134365","https://openalex.org/W1990245967","https://openalex.org/W2054177013","https://openalex.org/W3004135429","https://openalex.org/W3121005460"],"abstract_inverted_index":{"Single":[0],"image":[1,12,100,123],"super-resolution":[2],"algorithms":[3],"aim":[4],"to":[5,22,36,119,150],"increase":[6],"the":[7,24,65,93,96,104,133,141,144,151,161],"resolution":[8],"of":[9,26,98],"an":[10,27,75],"input":[11],"without":[13],"deteriorating":[14],"its":[15],"visual":[16],"perception.":[17],"With":[18],"a":[19,79,83,137],"strong":[20],"ability":[21],"understand":[23],"structure":[25],"image,":[28],"convolutional":[29],"neural":[30,105],"networks":[31],"(CNNs)":[32],"are":[33],"successfully":[34],"applied":[35],"this":[37,54,56],"problem.":[38],"Previous":[39],"studies":[40],"have":[41],"shown":[42,173],"that":[43,61],"human":[44],"perception":[45],"is":[46,89,127],"mainly":[47],"influenced":[48],"by":[49,154],"variations":[50],"in":[51,129],"luminance.":[52],"In":[53,102],"regard,":[55],"paper":[57],"introduces":[58],"two":[59,130,162],"CNNs":[60],"operate":[62],"only":[63],"on":[64],"luminance":[66,142],"channel,":[67],"at":[68],"low":[69],"computational":[70],"costs.":[71],"Each":[72],"model":[73],"provides":[74],"end-to-end":[76],"mapping":[77],"between":[78],"low-resolution":[80],"(LR)":[81],"and":[82],"high-resolution":[84],"(HR)":[85],"map.":[86],"Because":[87],"upsampling":[88],"integrated":[90],"into":[91],"CNN,":[92],"design":[94],"allows":[95],"control":[97],"HR":[99,134,166],"quality.":[101],"addition,":[103],"architectures":[106],"can":[107,164],"be":[108,148],"configured":[109],"with":[110,114,168],"many":[111],"layers":[112],"operating":[113],"small":[115],"LR":[116],"feature":[117],"maps,":[118],"provide":[120],"fast":[121],"run-time":[122],"processing.":[124],"The":[125],"approach":[126],"exemplified":[128],"cases:":[131],"generate":[132],"map":[135,139,146,152],"or":[136],"residual":[138,145],"for":[140],"channel;":[143],"should":[147],"added":[149],"upsampled":[153],"interpolation.":[155],"Besides":[156],"having":[157],"improved":[158],"time":[159],"performance,":[160],"models":[163],"produce":[165],"images":[167],"high":[169],"NIQE":[170],"scores,":[171],"as":[172],"experimentally.":[174]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}