{"id":"https://openalex.org/W4322733175","doi":"https://doi.org/10.1080/09540091.2023.2182487","title":"Image super-resolution reconstruction based on multi-scale dual-attention","display_name":"Image super-resolution reconstruction based on multi-scale dual-attention","publication_year":2023,"publication_date":"2023-03-01","ids":{"openalex":"https://openalex.org/W4322733175","doi":"https://doi.org/10.1080/09540091.2023.2182487"},"language":"en","primary_location":{"id":"doi:10.1080/09540091.2023.2182487","is_oa":true,"landing_page_url":"https://doi.org/10.1080/09540091.2023.2182487","pdf_url":null,"source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1080/09540091.2023.2182487","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112115755","display_name":"Hong-an Li","orcid":"https://orcid.org/0000-0003-1805-8430"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong-an Li","raw_affiliation_strings":["College of Computer Science and Technology, Xi'an University of Science and Technology, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Xi'an University of Science and Technology, Xi'an, China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042931999","display_name":"Diao Wang","orcid":"https://orcid.org/0000-0002-0863-7845"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Diao Wang","raw_affiliation_strings":["College of Computer Science and Technology, Xi'an University of Science and Technology, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Xi'an University of Science and Technology, Xi'an, China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101994917","display_name":"Jing Zhang","orcid":"https://orcid.org/0000-0003-2494-8077"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Zhang","raw_affiliation_strings":["College of Computer Science and Technology, Xi'an University of Science and Technology, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Xi'an University of Science and Technology, Xi'an, China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081893657","display_name":"Zhanli Li","orcid":"https://orcid.org/0000-0002-6719-5346"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanli Li","raw_affiliation_strings":["College of Computer Science and Technology, Xi'an University of Science and Technology, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Xi'an University of Science and Technology, Xi'an, China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004691090","display_name":"Tian Ma","orcid":"https://orcid.org/0000-0002-5583-0074"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Ma","raw_affiliation_strings":["College of Computer Science and Technology, Xi'an University of Science and Technology, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Xi'an University of Science and Technology, Xi'an, China","institution_ids":["https://openalex.org/I110440473"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5042931999"],"corresponding_institution_ids":["https://openalex.org/I110440473"],"apc_list":{"value":1270,"currency":"USD","value_usd":1270},"apc_paid":{"value":1270,"currency":"USD","value_usd":1270},"fwci":1.8387,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.8724746,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"35","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9994000196456909,"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":0.989300012588501,"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":0.7666065692901611},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7379932403564453},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6188177466392517},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5640794634819031},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5548052191734314},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5211356282234192},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5083047747612},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5003244876861572},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4919378459453583},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4672529399394989},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4636496305465698},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.46265631914138794},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4418613910675049},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.441692054271698},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3356136381626129},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18350958824157715},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14749616384506226}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7666065692901611},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7379932403564453},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6188177466392517},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5640794634819031},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5548052191734314},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5211356282234192},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5083047747612},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5003244876861572},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4919378459453583},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4672529399394989},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4636496305465698},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.46265631914138794},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4418613910675049},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.441692054271698},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3356136381626129},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18350958824157715},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14749616384506226},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/09540091.2023.2182487","is_oa":true,"landing_page_url":"https://doi.org/10.1080/09540091.2023.2182487","pdf_url":null,"source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d20997b33fdb441f95eeecb2575f8a71","is_oa":true,"landing_page_url":"https://doaj.org/article/d20997b33fdb441f95eeecb2575f8a71","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Connection Science, Vol 0, Iss 0, Pp 1-19 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/09540091.2023.2182487","is_oa":true,"landing_page_url":"https://doi.org/10.1080/09540091.2023.2182487","pdf_url":null,"source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1992408872","https://openalex.org/W2157190232","https://openalex.org/W2183341477","https://openalex.org/W2469843020","https://openalex.org/W2476548250","https://openalex.org/W2520472180","https://openalex.org/W2798664922","https://openalex.org/W2866634454","https://openalex.org/W2884585870","https://openalex.org/W2891158090","https://openalex.org/W2910121883","https://openalex.org/W2962785568","https://openalex.org/W2963446712","https://openalex.org/W2963470893","https://openalex.org/W2963774720","https://openalex.org/W2963814095","https://openalex.org/W2964042923","https://openalex.org/W2964060609","https://openalex.org/W2964101377","https://openalex.org/W2988302524","https://openalex.org/W3034247386","https://openalex.org/W3035440494","https://openalex.org/W3036694380","https://openalex.org/W3069245681","https://openalex.org/W3083955366","https://openalex.org/W3094307767","https://openalex.org/W3096319150","https://openalex.org/W3096604274","https://openalex.org/W3100321043","https://openalex.org/W3108381027","https://openalex.org/W3119502086","https://openalex.org/W3128176988","https://openalex.org/W3136666644","https://openalex.org/W3160462972","https://openalex.org/W3163966458","https://openalex.org/W3176148916","https://openalex.org/W3186023826","https://openalex.org/W3192052310","https://openalex.org/W4200116753","https://openalex.org/W4200399832","https://openalex.org/W4205270123","https://openalex.org/W4205363167","https://openalex.org/W4206082370","https://openalex.org/W4207024994","https://openalex.org/W4212903198","https://openalex.org/W4214548302","https://openalex.org/W4220652354","https://openalex.org/W4226018934","https://openalex.org/W4230012734","https://openalex.org/W4250685322","https://openalex.org/W4298012197"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W2788972299","https://openalex.org/W4285411112","https://openalex.org/W4289655544","https://openalex.org/W2044092692","https://openalex.org/W2547665164","https://openalex.org/W3103111272","https://openalex.org/W2537408670","https://openalex.org/W1965891716"],"abstract_inverted_index":{"Image":[0],"super-resolution":[1,23,170],"reconstruction":[2],"is":[3,86,116,124,146,156],"one":[4],"of":[5,18,140],"the":[6,13,21,45,78,89,107,113,128,136,152,163,169],"methods":[7],"to":[8,65,95,126,167],"improve":[9],"resolution":[10],"by":[11],"learning":[12],"inherent":[14],"features":[15,68],"and":[16,37,69,80,101,121,151,175],"attributes":[17],"images.":[19],"However,":[20],"existing":[22],"models":[24],"have":[25],"some":[26],"problems,":[27,47],"such":[28],"as":[29],"missing":[30],"details,":[31],"distorted":[32],"natural":[33],"texture,":[34],"blurred":[35],"details":[36,174],"too":[38],"smooth":[39],"after":[40],"image":[41,67,165,171],"reconstruction.":[42],"To":[43],"solve":[44],"above":[46],"this":[48],"paper":[49,75],"proposes":[50],"a":[51],"Multi-scale":[52],"Dual-Attention":[53],"based":[54],"Residual":[55],"Dense":[56],"Generative":[57],"Adversarial":[58],"Network":[59],"(MARDGAN),":[60],"which":[61,85],"uses":[62],"multi-branch":[63],"paths":[64],"extract":[66,96],"obtain":[70],"multi-scale":[71,108],"feature":[72,99,103,109],"information.":[73],"This":[74,158],"also":[76],"designs":[77],"channel":[79],"spatial":[81],"attention":[82],"block":[83,93],"(CSAB),":[84],"combined":[87],"with":[88,118,172],"enhanced":[90],"residual":[91],"dense":[92],"(ERDB)":[94],"multi-level":[97],"depth":[98],"information":[100,110,166],"enhance":[102],"reuse.":[104],"In":[105],"addition,":[106],"extracted":[111],"under":[112],"three-branch":[114],"path":[115],"fused":[117],"global":[119],"features,":[120],"sub-pixel":[122],"convolution":[123],"used":[125],"restore":[127,168],"high-resolution":[129],"image.":[130],"The":[131],"experimental":[132],"results":[133],"show":[134],"that":[135],"objective":[137],"evaluation":[138],"index":[139],"MARDGAN":[141],"on":[142],"multiple":[143],"benchmark":[144],"datasets":[145],"higher":[147],"than":[148],"other":[149],"methods,":[150],"subjective":[153],"visual":[154],"effect":[155],"better.":[157],"model":[159],"can":[160],"effectively":[161],"use":[162],"original":[164],"clearer":[173],"stronger":[176],"authenticity.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6}],"updated_date":"2026-02-28T09:26:25.869077","created_date":"2025-10-10T00:00:00"}