{"id":"https://openalex.org/W3110537409","doi":"https://doi.org/10.1109/access.2020.3040424","title":"Image Super-Resolution Reconstruction Based on a Generative Adversarial Network","display_name":"Image Super-Resolution Reconstruction Based on a Generative Adversarial Network","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3110537409","doi":"https://doi.org/10.1109/access.2020.3040424","mag":"3110537409"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3040424","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3040424","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09269971.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09269971.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011070316","display_name":"Yun Wu","orcid":"https://orcid.org/0000-0001-6782-5777"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Wu","raw_affiliation_strings":["School of Computer Science and Technology, Guizhou University, Guiyang, China"],"raw_orcid":"https://orcid.org/0000-0001-6782-5777","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051592634","display_name":"Lin Lan","orcid":"https://orcid.org/0000-0002-4681-4005"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Lan","raw_affiliation_strings":["School of Computer Science and Technology, Guizhou University, Guiyang, China"],"raw_orcid":"https://orcid.org/0000-0002-4681-4005","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026010007","display_name":"Huiyun Long","orcid":"https://orcid.org/0000-0002-6334-413X"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiyun Long","raw_affiliation_strings":["School of Computer Science and Technology, Guizhou University, Guiyang, China"],"raw_orcid":"https://orcid.org/0000-0002-6334-413X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062492732","display_name":"Guangqian Kong","orcid":"https://orcid.org/0000-0001-6662-2564"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangqian Kong","raw_affiliation_strings":["School of Computer Science and Technology, Guizhou University, Guiyang, China"],"raw_orcid":"https://orcid.org/0000-0001-6662-2564","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021561961","display_name":"Xun Duan","orcid":"https://orcid.org/0000-0001-7623-5816"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xun Duan","raw_affiliation_strings":["School of Computer Science and Technology, Guizhou University, Guiyang, China"],"raw_orcid":"https://orcid.org/0000-0001-7623-5816","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010356465","display_name":"Changzhuan Xu","orcid":"https://orcid.org/0000-0003-3861-8503"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changzhuan Xu","raw_affiliation_strings":["School of Computer Science and Technology, Guizhou University, Guiyang, China"],"raw_orcid":"https://orcid.org/0000-0003-3861-8503","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I178232147"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.7667,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.74628445,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"8","issue":null,"first_page":"215133","last_page":"215144"},"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":0.9965000152587891,"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":0.991100013256073,"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":0.7683708667755127},{"id":"https://openalex.org/keywords/subnetwork","display_name":"Subnetwork","score":0.7477438449859619},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6253972053527832},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5717103481292725},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.5579690337181091},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5093880295753479},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48784708976745605},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4855956435203552},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4508705139160156},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.41142192482948303},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4087662100791931},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4007832705974579},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35161739587783813},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.27710258960723877}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7683708667755127},{"id":"https://openalex.org/C2780186347","wikidata":"https://www.wikidata.org/wiki/Q11414","display_name":"Subnetwork","level":2,"score":0.7477438449859619},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6253972053527832},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5717103481292725},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.5579690337181091},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5093880295753479},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48784708976745605},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4855956435203552},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4508705139160156},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.41142192482948303},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4087662100791931},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4007832705974579},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35161739587783813},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.27710258960723877},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/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":2,"locations":[{"id":"doi:10.1109/access.2020.3040424","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3040424","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09269971.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:227a35da6c124f29be57a63bfe6ad5be","is_oa":true,"landing_page_url":"https://doaj.org/article/227a35da6c124f29be57a63bfe6ad5be","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 215133-215144 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3040424","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3040424","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09269971.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6399999856948853,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G4952329444","display_name":null,"funder_award_id":"[2018]61741124","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7274162677","display_name":null,"funder_award_id":"61741124","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"},{"id":"https://openalex.org/F4320322272","display_name":"Guizhou Science and Technology Department","ror":"https://ror.org/00kwnh405"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3110537409.pdf","grobid_xml":"https://content.openalex.org/works/W3110537409.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W80327756","https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W2044011870","https://openalex.org/W2064076387","https://openalex.org/W2099471712","https://openalex.org/W2133665775","https://openalex.org/W2134471668","https://openalex.org/W2156930033","https://openalex.org/W2168809519","https://openalex.org/W2172128189","https://openalex.org/W2173520492","https://openalex.org/W2194775991","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2331128040","https://openalex.org/W2503339013","https://openalex.org/W2607041014","https://openalex.org/W2613155248","https://openalex.org/W2747898905","https://openalex.org/W2891158090","https://openalex.org/W2942231644","https://openalex.org/W2949117887","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2963684088","https://openalex.org/W2981616726","https://openalex.org/W3022018827","https://openalex.org/W3022580413","https://openalex.org/W3045167173","https://openalex.org/W3088750566","https://openalex.org/W4285719527","https://openalex.org/W4320013936","https://openalex.org/W6602211262","https://openalex.org/W6603267628","https://openalex.org/W6637373629","https://openalex.org/W6638667902","https://openalex.org/W6661579649","https://openalex.org/W6685352114","https://openalex.org/W6702130928","https://openalex.org/W6724673846","https://openalex.org/W6754405603","https://openalex.org/W6779669310","https://openalex.org/W6781143694","https://openalex.org/W6783395175"],"related_works":["https://openalex.org/W4293320219","https://openalex.org/W2953246223","https://openalex.org/W4283584549","https://openalex.org/W2554314924","https://openalex.org/W4288256692","https://openalex.org/W2998859928","https://openalex.org/W4381885966","https://openalex.org/W2969399009","https://openalex.org/W4398186750","https://openalex.org/W3151498616"],"abstract_inverted_index":{"In":[0,88],"the":[1,55,60,99,106,124,138,144,158,173,177,182,188,197,201,205,209,212,216,222,230,233],"field":[2],"of":[3,62,102,108,187,204,211,232],"computer":[4],"vision,":[5],"super-resolution":[6,38,120,164],"reconstruction":[7,39,114],"techniques":[8],"based":[9,41],"on":[10,42,221],"deep":[11],"learning":[12],"have":[13],"undergone":[14],"considerable":[15],"advancement;":[16],"however,":[17],"certain":[18],"limitations":[19],"remain,":[20],"such":[21],"as":[22],"insufficient":[23,63],"feature":[24,64],"extraction":[25],"and":[26,76,82,104,132,152,185,207,226],"blurred":[27],"image":[28,37,165],"generation.":[29],"To":[30],"address":[31],"these":[32],"problems,":[33],"we":[34,48,122,171],"propose":[35],"an":[36,73],"model":[40],"a":[43,50,77,84,89,129,153,162],"generative":[44],"adversarial":[45],"network.":[46],"First,":[47],"employ":[49],"dual":[51,67],"network":[52,57,68,140,179,206],"structure":[53,69,96],"in":[54,200,214],"generator":[56,139],"to":[58,117,136,156,160,180,195],"solve":[59],"problem":[61],"extraction.":[65],"The":[66],"is":[70,167,193],"divided":[71],"into":[72,176],"upsample":[74,81],"subnetwork":[75],"refinement":[78],"subnetwork,":[79],"which":[80,127,148],"optimize":[83],"low-resolution":[85],"image,":[86],"respectively.":[87],"scene":[90],"with":[91],"large":[92,154],"upscaling":[93],"factors,":[94],"this":[95,191],"can":[97],"reduce":[98],"negative":[100],"effect":[101],"noise":[103],"enhance":[105,181],"utilization":[107],"high-frequency":[109],"details,":[110],"thereby":[111],"generating":[112],"high-quality":[113],"results.":[115],"Second,":[116],"generate":[118],"sharper":[119],"images,":[121],"use":[123,210],"perceptual":[125],"loss,":[126],"exhibits":[128],"fast":[130],"convergence":[131],"excellent":[133],"visual":[134],"effect,":[135],"guide":[137],"training.":[141],"We":[142],"apply":[143],"ResNeXt-50-$32\\times":[145],"4\\text{d}$":[146],"network,":[147],"has":[149],"few":[150],"parameters":[151],"depth,":[155],"calculate":[157],"loss":[159,217],"obtain":[161],"reconstructed":[163],"that":[166],"highly":[168],"realistic.":[169],"Finally,":[170],"introduce":[172],"Wasserstein":[174],"distance":[175,192],"discriminator":[178],"discrimination":[183],"ability":[184],"stability":[186],"model.":[189,235],"Specifically,":[190],"employed":[194],"eliminate":[196],"activation":[198],"function":[199],"last":[202],"layer":[203],"avoid":[208],"logarithm":[213],"calculating":[215],"function.":[218],"Extensive":[219],"experiments":[220],"DIV2K,":[223],"Set5,":[224],"Set14,":[225],"BSD100":[227],"datasets":[228],"demonstrate":[229],"effectiveness":[231],"proposed":[234]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
