{"id":"https://openalex.org/W2986254534","doi":"https://doi.org/10.1109/lsp.2019.2952047","title":"Multilevel and Multiscale Network for Single-Image Super-Resolution","display_name":"Multilevel and Multiscale Network for Single-Image Super-Resolution","publication_year":2019,"publication_date":"2019-11-06","ids":{"openalex":"https://openalex.org/W2986254534","doi":"https://doi.org/10.1109/lsp.2019.2952047","mag":"2986254534"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2019.2952047","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2019.2952047","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5111595030","display_name":"Yong Yang","orcid":"https://orcid.org/0000-0002-9831-8783"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yong Yang","raw_affiliation_strings":["School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100716669","display_name":"Dongyang Zhang","orcid":"https://orcid.org/0000-0002-2170-4918"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongyang Zhang","raw_affiliation_strings":["School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076023006","display_name":"Shuying Huang","orcid":"https://orcid.org/0000-0003-2771-8461"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuying Huang","raw_affiliation_strings":["School of Software and Communication Engineering, Jiangxi University of Finance and Economics, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"School of Software and Communication Engineering, Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100621605","display_name":"Jiajun Wu","orcid":"https://orcid.org/0000-0002-4176-343X"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajun Wu","raw_affiliation_strings":["School of Software and Communication Engineering, Jiangxi University of Finance and Economics, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"School of Software and Communication Engineering, Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5111595030"],"corresponding_institution_ids":["https://openalex.org/I59649739"],"apc_list":null,"apc_paid":null,"fwci":1.0122,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.81124209,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"26","issue":"12","first_page":"1877","last_page":"1881"},"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":0.9980000257492065,"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":0.9955000281333923,"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/computer-science","display_name":"Computer science","score":0.7432762980461121},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.7140206694602966},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6819801926612854},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6368216872215271},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6340526342391968},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6335694789886475},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6306482553482056},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6213701963424683},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6069376468658447},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.45819956064224243},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4300575852394104},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.42770808935165405},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4111485183238983},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.25357624888420105},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11680668592453003}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7432762980461121},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.7140206694602966},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6819801926612854},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6368216872215271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6340526342391968},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6335694789886475},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6306482553482056},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6213701963424683},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6069376468658447},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.45819956064224243},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4300575852394104},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.42770808935165405},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4111485183238983},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25357624888420105},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11680668592453003},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2019.2952047","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2019.2952047","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1347229921","display_name":null,"funder_award_id":"61862030","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G259315037","display_name":null,"funder_award_id":"20192ACB20002","funder_id":"https://openalex.org/F4320322665","funder_display_name":"Natural Science Foundation of Jiangxi Province"},{"id":"https://openalex.org/G2839345977","display_name":null,"funder_award_id":"20192ACBL21008","funder_id":"https://openalex.org/F4320322665","funder_display_name":"Natural Science Foundation of Jiangxi Province"},{"id":"https://openalex.org/G3114494415","display_name":null,"funder_award_id":"61662026","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G369038580","display_name":null,"funder_award_id":"20181BAB202010","funder_id":"https://openalex.org/F4320322665","funder_display_name":"Natural Science Foundation of Jiangxi Province"},{"id":"https://openalex.org/G6088551828","display_name":null,"funder_award_id":"20182BCB22006","funder_id":"https://openalex.org/F4320322665","funder_display_name":"Natural Science Foundation of Jiangxi Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322665","display_name":"Natural Science Foundation of Jiangxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1885185971","https://openalex.org/W1901129140","https://openalex.org/W2049237558","https://openalex.org/W2137290314","https://openalex.org/W2140257560","https://openalex.org/W2157190232","https://openalex.org/W2194775991","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2503339013","https://openalex.org/W2565639579","https://openalex.org/W2747898905","https://openalex.org/W2752782242","https://openalex.org/W2788047482","https://openalex.org/W2793981323","https://openalex.org/W2866634454","https://openalex.org/W2887522866","https://openalex.org/W2898832590","https://openalex.org/W2927933146","https://openalex.org/W2962928529","https://openalex.org/W2963182372","https://openalex.org/W2963372104","https://openalex.org/W2963729050","https://openalex.org/W2963986095","https://openalex.org/W2964277374","https://openalex.org/W2965067012","https://openalex.org/W2965595241","https://openalex.org/W2976718572","https://openalex.org/W6639824700","https://openalex.org/W6748054908","https://openalex.org/W6761625566"],"related_works":["https://openalex.org/W2153719181","https://openalex.org/W2354322770","https://openalex.org/W3000097931","https://openalex.org/W4237547500","https://openalex.org/W1570848052","https://openalex.org/W1971748923","https://openalex.org/W2060986072","https://openalex.org/W2373192430","https://openalex.org/W4239268388","https://openalex.org/W1566155057"],"abstract_inverted_index":{"In":[0,40],"recent":[1],"years,":[2],"deep":[3],"convolutional":[4],"neural":[5],"networks":[6,19],"(CNNs)":[7],"have":[8],"achieved":[9],"great":[10],"success":[11],"in":[12],"Single":[13],"Image":[14],"Super-Resolution":[15,21],"(SISR).":[16],"Most":[17],"existing":[18],"for":[20,49],"(SR)":[22],"concentrate":[23],"on":[24],"wider":[25],"or":[26],"deeper":[27],"network":[28,56,139],"designs,":[29],"leading":[30],"to":[31,89,98,104,120,142,151],"neglect":[32],"of":[33,37,59,93,110,147,160],"the":[34,63,67,72,78,83,101,107,122,129,144,148,153,166,175],"feature":[35,64,123,130],"correlations":[36],"intermediate":[38],"layers.":[39],"this":[41],"letter,":[42],"a":[43,112,136],"novel":[44],"Multilevel":[45],"and":[46,77,132,157],"Multiscale":[47],"Network":[48],"SISR":[50],"(M2SR)":[51],"is":[52,118,140],"presented.":[53],"The":[54],"proposed":[55,119,167],"framework":[57],"consists":[58],"four":[60,161],"parts,":[61],"including":[62],"extraction":[65],"network,":[66],"cascade":[68],"residual":[69,84],"U-shaped":[70,75,85,115],"blocks,":[71],"channel-wise":[73,113],"attention":[74,114],"block":[76,116],"fusion":[79,137],"reconstruction":[80,138],"network.":[81],"Specially,":[82],"blocks":[86],"are":[87,96],"designed":[88],"extract":[90],"different":[91,108,145],"scales":[92,146],"features,":[94,111],"which":[95,125],"stacked":[97],"better":[99,171],"refine":[100],"multifeatures.":[102],"Then,":[103],"fully":[105],"exploit":[106],"levels":[109],"(At-U)":[117],"adjust":[121],"weights,":[124],"can":[126,169],"adaptively":[127],"enhance":[128],"expression":[131],"correlation":[133],"learning.":[134],"Finally,":[135],"constructed":[141],"fuse":[143],"enhanced":[149],"features":[150],"achieve":[152,170],"reconstructed":[154],"result.":[155],"Quantitative":[156],"qualitative":[158],"evaluations":[159],"public":[162],"datasets":[163],"show":[164],"that":[165],"method":[168],"performance":[172],"compared":[173],"with":[174],"state-of-the-art":[176],"SR":[177],"methods.":[178]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}