{"id":"https://openalex.org/W3158293172","doi":"https://doi.org/10.1109/jas.2021.1004009","title":"Lightweight Image Super-Resolution via Weighted Multi-Scale Residual Network","display_name":"Lightweight Image Super-Resolution via Weighted Multi-Scale Residual Network","publication_year":2021,"publication_date":"2021-04-27","ids":{"openalex":"https://openalex.org/W3158293172","doi":"https://doi.org/10.1109/jas.2021.1004009","mag":"3158293172"},"language":"en","primary_location":{"id":"doi:10.1109/jas.2021.1004009","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jas.2021.1004009","pdf_url":null,"source":{"id":"https://openalex.org/S2484288132","display_name":"IEEE/CAA Journal of Automatica Sinica","issn_l":"2329-9266","issn":["2329-9266","2329-9274"],"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/CAA Journal of Automatica Sinica","raw_type":"journal-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/A5101860050","display_name":"Long Sun","orcid":"https://orcid.org/0000-0002-2555-7556"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Long Sun","raw_affiliation_strings":["Guangxi Key Laboratory of Image and Graphic intelligent processing, Guilin University of Electronic Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Image and Graphic intelligent processing, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077799191","display_name":"Zhenbing Liu","orcid":"https://orcid.org/0000-0001-6551-4174"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenbing Liu","raw_affiliation_strings":["Guangxi Key Laboratory of Image and Graphic intelligent processing, Guilin University of Electronic Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Image and Graphic intelligent processing, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001022674","display_name":"Xiyan Sun","orcid":"https://orcid.org/0000-0002-4227-2499"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiyan Sun","raw_affiliation_strings":["National Local Joint Engineering Research Center of Satellite Navigation and Location Service, Guilin University of Electronic Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"National Local Joint Engineering Research Center of Satellite Navigation and Location Service, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101436881","display_name":"Licheng Liu","orcid":"https://orcid.org/0000-0003-4891-9211"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Licheng Liu","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045514825","display_name":"Rushi Lan","orcid":"https://orcid.org/0000-0002-9488-8236"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rushi Lan","raw_affiliation_strings":["Guangxi Key Laboratory of Image and Graphic intelligent processing, Guilin University of Electronic Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Image and Graphic intelligent processing, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100426931","display_name":"Xiaonan Luo","orcid":"https://orcid.org/0000-0002-0751-5045"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaonan Luo","raw_affiliation_strings":["National Local Joint Engineering Research Center of Satellite Navigation and Location Service, Guilin University of Electronic Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"National Local Joint Engineering Research Center of Satellite Navigation and Location Service, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101860050"],"corresponding_institution_ids":["https://openalex.org/I5343935"],"apc_list":null,"apc_paid":null,"fwci":4.9521,"has_fulltext":false,"cited_by_count":60,"citation_normalized_percentile":{"value":0.96354823,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"8","issue":"7","first_page":"1271","last_page":"1280"},"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":0.9990000128746033,"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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.8574988842010498},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7806853652000427},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7425016164779663},{"id":"https://openalex.org/keywords/subnetwork","display_name":"Subnetwork","score":0.6503943800926208},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5178923606872559},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5172789096832275},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5092858076095581},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4780067503452301},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4715801775455475},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.453643798828125},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44379767775535583}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.8574988842010498},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7806853652000427},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7425016164779663},{"id":"https://openalex.org/C2780186347","wikidata":"https://www.wikidata.org/wiki/Q11414","display_name":"Subnetwork","level":2,"score":0.6503943800926208},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5178923606872559},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5172789096832275},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5092858076095581},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4780067503452301},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4715801775455475},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.453643798828125},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44379767775535583},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/jas.2021.1004009","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jas.2021.1004009","pdf_url":null,"source":{"id":"https://openalex.org/S2484288132","display_name":"IEEE/CAA Journal of Automatica Sinica","issn_l":"2329-9266","issn":["2329-9266","2329-9274"],"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/CAA Journal of Automatica Sinica","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G4145360447","display_name":null,"funder_award_id":"61772149,61866009,61762028,U1701267,61702169","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W935139217","https://openalex.org/W1522301498","https://openalex.org/W1791560514","https://openalex.org/W1885185971","https://openalex.org/W1930824406","https://openalex.org/W2029684123","https://openalex.org/W2047920195","https://openalex.org/W2110158442","https://openalex.org/W2121058967","https://openalex.org/W2133665775","https://openalex.org/W2141200610","https://openalex.org/W2157494358","https://openalex.org/W2183341477","https://openalex.org/W2192954843","https://openalex.org/W2210480155","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2263468737","https://openalex.org/W2274287116","https://openalex.org/W2331128040","https://openalex.org/W2476548250","https://openalex.org/W2503339013","https://openalex.org/W2607041014","https://openalex.org/W2739757502","https://openalex.org/W2742126982","https://openalex.org/W2747898905","https://openalex.org/W2780624730","https://openalex.org/W2795024892","https://openalex.org/W2796101164","https://openalex.org/W2866634454","https://openalex.org/W2891158090","https://openalex.org/W2898233681","https://openalex.org/W2902973032","https://openalex.org/W2911583094","https://openalex.org/W2912435603","https://openalex.org/W2928165649","https://openalex.org/W2935564801","https://openalex.org/W2935842779","https://openalex.org/W2943832862","https://openalex.org/W2954930822","https://openalex.org/W2962595906","https://openalex.org/W2963163009","https://openalex.org/W2963182372","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2963494934","https://openalex.org/W2963604034","https://openalex.org/W2963645458","https://openalex.org/W2963725279","https://openalex.org/W2963840672","https://openalex.org/W2964121744","https://openalex.org/W2964125708","https://openalex.org/W2964277374","https://openalex.org/W2964350391","https://openalex.org/W2965669158","https://openalex.org/W3008297311","https://openalex.org/W3010250471","https://openalex.org/W3011005573","https://openalex.org/W3044683644","https://openalex.org/W3124718178","https://openalex.org/W4377561911","https://openalex.org/W6624640001","https://openalex.org/W6631190155","https://openalex.org/W6687322423","https://openalex.org/W6696085341","https://openalex.org/W6746123559","https://openalex.org/W6751547418","https://openalex.org/W6753074096","https://openalex.org/W6754405603","https://openalex.org/W6758061364","https://openalex.org/W6761511153","https://openalex.org/W6762782890"],"related_works":["https://openalex.org/W2060724872","https://openalex.org/W2082094785","https://openalex.org/W2202198356","https://openalex.org/W3087203342","https://openalex.org/W2377184161","https://openalex.org/W228984114","https://openalex.org/W2090026684","https://openalex.org/W4226360758","https://openalex.org/W2151093953","https://openalex.org/W2972212393"],"abstract_inverted_index":{"The":[0],"tradeoff":[1,73],"between":[2,74],"efficiency":[3],"and":[4,45,61,77,142],"model":[5],"size":[6],"of":[7,19,118,153],"the":[8,81,108,113,129,139,143,151],"convolutional":[9,94],"neural":[10],"network":[11,68],"(CNN)":[12],"is":[13],"an":[14],"essential":[15],"issue":[16],"for":[17,70],"applications":[18],"CNN-based":[20,39],"algorithms":[21,149],"to":[22,92,106,123,127,137],"diverse":[23],"real-world":[24],"tasks.":[25],"Although":[26],"deep":[27],"learning-based":[28],"methods":[29],"have":[30],"achieved":[31],"significant":[32],"improvements":[33],"in":[34],"image":[35],"super-resolution":[36],"(SR),":[37],"current":[38],"techniques":[40],"mainly":[41],"contain":[42],"massive":[43],"parameters":[44],"a":[46,59,71,116],"high":[47],"computational":[48,78],"complexity,":[49],"limiting":[50],"their":[51],"practical":[52],"applications.":[53],"In":[54,112],"this":[55],"paper,":[56],"we":[57],"present":[58],"fast":[60],"lightweight":[62],"framework,":[63],"named":[64],"weighted":[65,99],"multi-scale":[66,100,109],"residual":[67,83,101],"(WMRN),":[69],"better":[72],"SR":[75],"performance":[76],"efficiency.":[79,96],"With":[80],"modified":[82],"structure,":[84],"depthwise":[85],"separable":[86],"convolutions":[87],"(DS":[88],"Convs)":[89],"are":[90,104,121],"employed":[91],"improve":[93],"operations'":[95],"Furthermore,":[97],"several":[98,147],"blocks":[102],"(WMRBs)":[103],"stacked":[105],"enhance":[107],"representation":[110],"capability.":[111],"reconstruction":[114],"subnetwork,":[115],"group":[117],"Conv":[119],"layers":[120],"introduced":[122],"filter":[124],"feature":[125],"maps":[126],"reconstruct":[128],"final":[130],"high-quality":[131],"image.":[132],"Extensive":[133],"experiments":[134],"were":[135],"conducted":[136],"evaluate":[138],"proposed":[140],"model,":[141],"comparative":[144],"results":[145],"with":[146],"state-of-the-art":[148],"demonstrate":[150],"effectiveness":[152],"WMRN.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":3}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}