{"id":"https://openalex.org/W3046051856","doi":"https://doi.org/10.1109/iwcmc48107.2020.9148464","title":"An Efficient Multi-scale Method for Single Image Super Resolution","display_name":"An Efficient Multi-scale Method for Single Image Super Resolution","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3046051856","doi":"https://doi.org/10.1109/iwcmc48107.2020.9148464","mag":"3046051856"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc48107.2020.9148464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc48107.2020.9148464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Wireless Communications and Mobile Computing (IWCMC)","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/A5090117724","display_name":"Dehui Kong","orcid":"https://orcid.org/0000-0003-1890-6911"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]},{"id":"https://openalex.org/I4391767749","display_name":"State Key Laboratory of Mobile Networks and Mobile Multimedia Technology","ror":"https://ror.org/05cd55294","country_code":null,"type":"facility","lineage":["https://openalex.org/I4210098582","https://openalex.org/I4391767749"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dehui Kong","raw_affiliation_strings":["State Key Laboratory of Mobile Network and Mobile Multimedia Technology, P. R. China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mobile Network and Mobile Multimedia Technology, P. R. China","institution_ids":["https://openalex.org/I180662265","https://openalex.org/I4391767749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102757930","display_name":"Ke Xu","orcid":"https://orcid.org/0000-0003-2395-9460"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]},{"id":"https://openalex.org/I4391767749","display_name":"State Key Laboratory of Mobile Networks and Mobile Multimedia Technology","ror":"https://ror.org/05cd55294","country_code":null,"type":"facility","lineage":["https://openalex.org/I4210098582","https://openalex.org/I4391767749"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Xu","raw_affiliation_strings":["State Key Laboratory of Mobile Network and Mobile Multimedia Technology, P. R. China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mobile Network and Mobile Multimedia Technology, P. R. China","institution_ids":["https://openalex.org/I180662265","https://openalex.org/I4391767749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065051726","display_name":"Fang Zhu","orcid":"https://orcid.org/0000-0002-7116-8797"},"institutions":[{"id":"https://openalex.org/I4210098582","display_name":"ZTE (China)","ror":"https://ror.org/00rjhhq63","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210098582"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Zhu","raw_affiliation_strings":["ZTE Corporation, P. R. China"],"affiliations":[{"raw_affiliation_string":"ZTE Corporation, P. R. China","institution_ids":["https://openalex.org/I4210098582"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102382558","display_name":"Zhu Tongtong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tongtong Zhu","raw_affiliation_strings":["ZTE Microelectronics Research Institute, P. R. China"],"affiliations":[{"raw_affiliation_string":"ZTE Microelectronics Research Institute, P. R. China","institution_ids":["https://openalex.org/I4210119392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008049226","display_name":"Hengqi Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengqi Liu","raw_affiliation_strings":["ZTE Microelectronics Research Institute, P. R. China"],"affiliations":[{"raw_affiliation_string":"ZTE Microelectronics Research Institute, P. R. China","institution_ids":["https://openalex.org/I4210119392"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yang Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Wei","raw_affiliation_strings":["ZTE Microelectronics Research Institute, P. R. China"],"affiliations":[{"raw_affiliation_string":"ZTE Microelectronics Research Institute, P. R. China","institution_ids":["https://openalex.org/I4210119392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084905050","display_name":"Jianjun Song","orcid":"https://orcid.org/0000-0001-6515-5829"},"institutions":[{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianjun Song","raw_affiliation_strings":["ZTE Microelectronics Research Institute, P. R. China"],"affiliations":[{"raw_affiliation_string":"ZTE Microelectronics Research Institute, P. R. China","institution_ids":["https://openalex.org/I4210119392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5090117724"],"corresponding_institution_ids":["https://openalex.org/I180662265","https://openalex.org/I4391767749"],"apc_list":null,"apc_paid":null,"fwci":0.0981,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.39600809,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1579","last_page":"1583"},"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":0.9987999796867371,"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":0.9984999895095825,"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/convolution","display_name":"Convolution (computer science)","score":0.7636663913726807},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7570109367370605},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.7203348875045776},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6732122302055359},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6333732604980469},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6278783679008484},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5857140421867371},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5515862107276917},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5335296392440796},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5296499729156494},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5255438685417175},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4970455467700958},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4914127588272095},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4857797920703888},{"id":"https://openalex.org/keywords/scale-space","display_name":"Scale space","score":0.44508621096611023},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4092925190925598},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3762553334236145},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2508459687232971},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15325430035591125},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08990210294723511}],"concepts":[{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7636663913726807},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7570109367370605},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.7203348875045776},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6732122302055359},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6333732604980469},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6278783679008484},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5857140421867371},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5515862107276917},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5335296392440796},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5296499729156494},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5255438685417175},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4970455467700958},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4914127588272095},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4857797920703888},{"id":"https://openalex.org/C99102927","wikidata":"https://www.wikidata.org/wiki/Q3058184","display_name":"Scale space","level":4,"score":0.44508621096611023},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4092925190925598},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3762553334236145},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2508459687232971},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15325430035591125},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08990210294723511},{"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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcmc48107.2020.9148464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc48107.2020.9148464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Wireless Communications and Mobile Computing (IWCMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W948663339","https://openalex.org/W1885185971","https://openalex.org/W1905829557","https://openalex.org/W2097117768","https://openalex.org/W2193145675","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2271808722","https://openalex.org/W2601564443","https://openalex.org/W2607041014","https://openalex.org/W2739757502","https://openalex.org/W2866634454","https://openalex.org/W2954930822","https://openalex.org/W2963729050","https://openalex.org/W2964101377","https://openalex.org/W3106250896"],"related_works":["https://openalex.org/W4249847449","https://openalex.org/W44395729","https://openalex.org/W2765338038","https://openalex.org/W1496225612","https://openalex.org/W1523500768","https://openalex.org/W1566843515","https://openalex.org/W4292850564","https://openalex.org/W2181660907","https://openalex.org/W4386191828","https://openalex.org/W2140766353"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1,67],"network":[2,110],"has":[3],"shown":[4],"its":[5,21],"superior":[6],"performance":[7],"in":[8,14,83,100],"single":[9],"image":[10],"super":[11,59],"resolution(SR)":[12],"as":[13],"other":[15,35],"computer":[16],"vision":[17,56],"applications.":[18],"One":[19],"of":[20,34,40,58,108,119,146],"disadvantage":[22],"is":[23,42,48,61,80,98,132,150],"that":[24,33],"the":[25,38,54,91,106,109,117,144,147],"computation":[26],"needs":[27],"will":[28],"be":[29],"significantly":[30],"higher":[31],"than":[32],"applications":[36],"for":[37,139],"resolution":[39,60,85],"input":[41],"often":[43],"high":[44],"definition":[45],"and":[46,122],"it":[47],"growing":[49],"rapidly.":[50],"In":[51],"this":[52],"paper,":[53],"low-level":[55],"attributed":[57],"emphasized":[62],"by":[63],"using":[64],"a":[65,75,94],"multi-scale":[66],"network.":[68],"The":[69,112,129],"proposed":[70],"method":[71],"do":[72],"not":[73,81],"take":[74],"very":[76],"deep":[77],"framework":[78],"which":[79,104,134,149],"suitable":[82],"ultra-high":[84],"or":[86],"mobile":[87],"terminals.":[88],"To":[89],"obtain":[90],"geometry":[92],"structure,":[93],"deformable":[95,113],"convolution":[96,114],"layer":[97],"applied":[99],"shallow":[101,124],"feature":[102],"extraction":[103],"reduces":[105],"complexity":[107],"structure.":[111],"scheme":[115],"constraints":[116],"explosion":[118],"parameter":[120],"space":[121],"provides":[123],"features":[125],"at":[126],"different":[127],"scales.":[128],"backbone":[130],"structure":[131],"pyramid":[133],"offers":[135],"more":[136],"scale":[137],"information":[138],"reconstruction.":[140],"These":[141],"ideas":[142],"ensure":[143],"efficiency":[145],"model":[148],"also":[151],"demonstrated":[152],"on":[153],"extensive":[154],"experiments.":[155]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
