{"id":"https://openalex.org/W4390742381","doi":"https://doi.org/10.1109/access.2024.3351730","title":"Underwater Image Super-Resolution Using Frequency-Domain Enhanced Attention Network","display_name":"Underwater Image Super-Resolution Using Frequency-Domain Enhanced Attention Network","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4390742381","doi":"https://doi.org/10.1109/access.2024.3351730"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3351730","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3351730","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10385155.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/ielx7/6287639/6514899/10385155.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115594797","display_name":"Xin Liu","orcid":"https://orcid.org/0000-0002-7857-3058"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xin Liu","raw_affiliation_strings":["School of Artificial Intelligence and Information Engineering, Jinken College of Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Information Engineering, Jinken College of Technology, Nanjing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101164981","display_name":"Zhengxiang Gu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhengxiang Gu","raw_affiliation_strings":["School of Artificial Intelligence and Information Engineering, Jinken College of Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Information Engineering, Jinken College of Technology, Nanjing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100986945","display_name":"Haiming Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiming Ding","raw_affiliation_strings":["College of Computer and Information Engineering, Hohai University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100403018","display_name":"Min Zhang","orcid":"https://orcid.org/0009-0000-4185-940X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Min Zhang","raw_affiliation_strings":["Department of Information Engineering, Gannan University of Science and Technology, Ganzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Gannan University of Science and Technology, Ganzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100382435","display_name":"Wang Li","orcid":"https://orcid.org/0000-0003-2054-1392"},"institutions":[{"id":"https://openalex.org/I4210101451","display_name":"Nanjing University of Industry Technology","ror":"https://ror.org/00qf07q44","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210101451"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Wang","raw_affiliation_strings":["School of Computer and Software, Nanjing Vocational University of Industry Technology, Nanjing, China","School of Computer and Software, Nanjing Vocational University Of Industry Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Software, Nanjing Vocational University of Industry Technology, Nanjing, China","institution_ids":["https://openalex.org/I4210101451"]},{"raw_affiliation_string":"School of Computer and Software, Nanjing Vocational University Of Industry Technology, Nanjing, China","institution_ids":["https://openalex.org/I4210101451"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5115594797"],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.4248,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.93334717,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"12","issue":null,"first_page":"6136","last_page":"6147"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9991000294685364,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9965000152587891,"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":0.7956432104110718},{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.7146727442741394},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6380344033241272},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.6021168828010559},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.525792121887207},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5222398042678833},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.49686530232429504},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.44939619302749634},{"id":"https://openalex.org/keywords/spatial-frequency","display_name":"Spatial frequency","score":0.4349363446235657},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.41608238220214844},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3564346432685852},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.17368903756141663},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1684429943561554},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12909114360809326},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08275285363197327}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7956432104110718},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.7146727442741394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6380344033241272},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.6021168828010559},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.525792121887207},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5222398042678833},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.49686530232429504},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.44939619302749634},{"id":"https://openalex.org/C100921725","wikidata":"https://www.wikidata.org/wiki/Q1650811","display_name":"Spatial frequency","level":2,"score":0.4349363446235657},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.41608238220214844},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3564346432685852},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.17368903756141663},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1684429943561554},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12909114360809326},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08275285363197327},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3351730","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3351730","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10385155.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:10722a177e0546beafb1ced00bbfea49","is_oa":true,"landing_page_url":"https://doaj.org/article/10722a177e0546beafb1ced00bbfea49","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":"IEEE Access, Vol 12, Pp 6136-6147 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3351730","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3351730","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10385155.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":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[{"id":"https://openalex.org/G7059158758","display_name":null,"funder_award_id":"GJJ2203610","funder_id":"https://openalex.org/F4320336746","funder_display_name":"Key Science and Technology Research Project in Jiangxi Province Department of Education"},{"id":"https://openalex.org/G7772798368","display_name":null,"funder_award_id":"GJJ2203610","funder_id":"https://openalex.org/F4320325626","funder_display_name":"Education Department of Jiangxi Province"}],"funders":[{"id":"https://openalex.org/F4320325626","display_name":"Education Department of Jiangxi Province","ror":null},{"id":"https://openalex.org/F4320336746","display_name":"Key Science and Technology Research Project in Jiangxi Province Department of Education","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390742381.pdf","grobid_xml":"https://content.openalex.org/works/W4390742381.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W2242218935","https://openalex.org/W2471801048","https://openalex.org/W2476548250","https://openalex.org/W2752782242","https://openalex.org/W2866634454","https://openalex.org/W2888285221","https://openalex.org/W2890197410","https://openalex.org/W2891158090","https://openalex.org/W2895598217","https://openalex.org/W2903251150","https://openalex.org/W2953762120","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2963986095","https://openalex.org/W2996544626","https://openalex.org/W3032400974","https://openalex.org/W3034981886","https://openalex.org/W3036480910","https://openalex.org/W3040189317","https://openalex.org/W3083579885","https://openalex.org/W3090437961","https://openalex.org/W3092755853","https://openalex.org/W3096739052","https://openalex.org/W3096831927","https://openalex.org/W3104028135","https://openalex.org/W3118638888","https://openalex.org/W3135592580","https://openalex.org/W3139422607","https://openalex.org/W3157724854","https://openalex.org/W3166909897","https://openalex.org/W3171662571","https://openalex.org/W3178092817","https://openalex.org/W3198884575","https://openalex.org/W3203631022","https://openalex.org/W3204971388","https://openalex.org/W3207918547","https://openalex.org/W4281394664","https://openalex.org/W4281674575","https://openalex.org/W4283721091","https://openalex.org/W4289823742","https://openalex.org/W4292829111","https://openalex.org/W4294982738","https://openalex.org/W4360770802","https://openalex.org/W4362672456","https://openalex.org/W4380684325","https://openalex.org/W4383753076","https://openalex.org/W4389041353","https://openalex.org/W6638667902","https://openalex.org/W6720275808","https://openalex.org/W6754089586","https://openalex.org/W6757063735"],"related_works":["https://openalex.org/W4388412763","https://openalex.org/W1999583034","https://openalex.org/W3168963531","https://openalex.org/W2591930867","https://openalex.org/W2953138830","https://openalex.org/W2773822314","https://openalex.org/W3176162126","https://openalex.org/W2891537746","https://openalex.org/W3201231642","https://openalex.org/W3217214504"],"abstract_inverted_index":{"Underwater":[0],"images":[1,11],"super-resolution":[2],"(SR)":[3],"is":[4],"a":[5,49,57,73,98,117,134],"challenging":[6],"task":[7],"due":[8],"to":[9,30,76,88,104,121,140,148,163,206],"underwater":[10,66,190],"usually":[12],"contain":[13],"severely":[14],"blurred":[15],"details,":[16],"color":[17,174],"distortion,":[18],"and":[19,41,82,85,125,145,177,203,209],"low":[20,83],"contrast.":[21],"Although":[22],"numerous":[23],"deep":[24],"learning-based":[25],"methods":[26,35,192],"have":[27],"been":[28],"developed":[29],"solve":[31],"these":[32,34],"problems,":[33],"suffer":[36],"from":[37],"huge":[38],"model":[39],"parameters":[40],"computations.":[42],"To":[43],"address":[44],"this":[45],"gap,":[46],"we":[47,69,96,115,132,159],"propose":[48,97],"frequency-domain":[50],"enhanced":[51,143],"attention":[52,61,100,136],"network":[53],"(FEAN),":[54],"supported":[55],"by":[56,71],"series":[58],"of":[59,128,155,200],"frequency-enhanced":[60],"modules":[62],"(FEAM),":[63],"for":[64,172],"accurate":[65],"SR.":[67],"Specifically,":[68],"start":[70],"utilizing":[72],"Gaussian":[74],"filter":[75],"decompose":[77],"the":[78,89,93,112,123,129,142,151,156,166,169,194],"features":[79,147,167],"into":[80],"high":[81,144],"frequencies":[84],"pass":[86],"them":[87],"FEAM.":[90],"Then,":[91],"in":[92,111],"high-frequency":[94,170],"path,":[95,114],"multi-scale":[99],"enhancement":[101],"block":[102,138],"(MAEB)":[103],"extract":[105],"rich":[106],"image":[107],"texture":[108],"information.":[109],"While":[110],"low-frequency":[113,146],"perform":[116],"simple":[118],"convolutional":[119],"operation":[120],"realize":[122],"brightness":[124],"contrast":[126],"adjustment":[127],"image.":[130],"Further,":[131],"devise":[133],"channel":[135],"fusion":[137],"(CAFB)":[139],"integrate":[141],"further":[149,164],"strengthen":[150],"powerful":[152],"representational":[153],"capability":[154],"network.":[157],"Finally,":[158],"employ":[160],"two":[161],"convolutions":[162],"modulate":[165],"on":[168,193],"path":[171],"effective":[173],"bias":[175],"correction":[176],"detail":[178],"enhancement.":[179],"Experimental":[180],"results":[181],"show":[182],"that":[183],"our":[184],"FEAN":[185],"performs":[186],"better":[187],"than":[188],"other":[189],"SR":[191],"USR-248":[195],"dataset,":[196],"with":[197],"PSNR":[198],"values":[199],"29.97dB,":[201],"26.23dB,":[202],"23.99dB,":[204],"corresponding":[205],"\u00d72,":[207],"\u00d74,":[208],"\u00d78":[210],"scale":[211],"factors.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":4}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
