{"id":"https://openalex.org/W4392174022","doi":"https://doi.org/10.1109/tce.2024.3368022","title":"Coarse-to-Fine Grained Alignment Video Super-Resolution for Underwater Camera","display_name":"Coarse-to-Fine Grained Alignment Video Super-Resolution for Underwater Camera","publication_year":2024,"publication_date":"2024-02-01","ids":{"openalex":"https://openalex.org/W4392174022","doi":"https://doi.org/10.1109/tce.2024.3368022"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2024.3368022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2024.3368022","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Transactions on Consumer Electronics","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/A5015234413","display_name":"Jingyi Wang","orcid":"https://orcid.org/0009-0009-1198-2832"},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Jingyi Wang","raw_affiliation_strings":["School of Engineering, Kyushu Institute of Technology, Kitakyushu, Japan"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Kyushu Institute of Technology, Kitakyushu, Japan","institution_ids":["https://openalex.org/I207014233"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019035804","display_name":"Huimin Lu","orcid":"https://orcid.org/0000-0001-9794-3221"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huimin Lu","raw_affiliation_strings":["School of Automation, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5015234413"],"corresponding_institution_ids":["https://openalex.org/I207014233"],"apc_list":null,"apc_paid":null,"fwci":1.8369,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.85601843,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"70","issue":"1","first_page":"831","last_page":"838"},"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":0.9997000098228455,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9993000030517578,"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/underwater","display_name":"Underwater","score":0.6049177646636963},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5741124153137207},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.528066873550415},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49273136258125305},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.47692105174064636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41724273562431335},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.33919912576675415},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.17170622944831848}],"concepts":[{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.6049177646636963},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5741124153137207},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.528066873550415},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49273136258125305},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.47692105174064636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41724273562431335},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.33919912576675415},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.17170622944831848},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2024.3368022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2024.3368022","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Transactions on Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W2015718162","https://openalex.org/W2031832897","https://openalex.org/W2044986066","https://openalex.org/W2133665775","https://openalex.org/W2156044732","https://openalex.org/W2160207806","https://openalex.org/W2167646546","https://openalex.org/W2167884509","https://openalex.org/W2607041014","https://openalex.org/W2781335552","https://openalex.org/W2798664922","https://openalex.org/W2866634454","https://openalex.org/W2910957069","https://openalex.org/W2963470893","https://openalex.org/W2964343197","https://openalex.org/W2965669158","https://openalex.org/W3010167627","https://openalex.org/W3034475761","https://openalex.org/W3034785019","https://openalex.org/W3035302306","https://openalex.org/W3099671332","https://openalex.org/W3104262360","https://openalex.org/W3138525858","https://openalex.org/W3149210910","https://openalex.org/W3157035436","https://openalex.org/W3166490340","https://openalex.org/W3176148916","https://openalex.org/W3202918664","https://openalex.org/W4206905166","https://openalex.org/W4210562387","https://openalex.org/W4286656399","https://openalex.org/W4289752563","https://openalex.org/W4308243395","https://openalex.org/W4312692802","https://openalex.org/W4385245566","https://openalex.org/W6773659552"],"related_works":["https://openalex.org/W4388412763","https://openalex.org/W1999583034","https://openalex.org/W3217214504","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/W2369060955"],"abstract_inverted_index":{"Artificial":[0],"intelligence":[1],"advancements":[2],"have":[3,59],"notably":[4],"improved":[5],"consumer":[6],"electronics,":[7],"especially":[8],"in":[9,53,113,168],"portable":[10],"mobile":[11,23],"underwater":[12,19,41,51,67,75,84,169],"cameras.":[13],"Yet,":[14],"the":[15,48,61,65,83,132,147,150],"large":[16],"size":[17],"of":[18,50,111],"video":[20,42,56,68,85,136,166],"files":[21],"and":[22,91,115,118,144,153],"device":[24],"data":[25],"transfer":[26],"limitations":[27],"hinder":[28],"this":[29,45],"progress.":[30],"Hence,":[31],"there\u2019s":[32],"a":[33,108,123],"crucial":[34],"need":[35],"for":[36],"super-resolution":[37,86,170],"technology":[38],"tailored":[39],"to":[40,63,106,127,156],"content.":[43],"In":[44],"paper,":[46],"given":[47],"scarcity":[49],"scenes":[52],"existing":[54],"benchmark":[55],"datasets,":[57],"we":[58,81],"taken":[60],"initiative":[62],"construct":[64],"pioneering":[66],"dataset":[69,151],"UW206,":[70],"which":[71],"comprises":[72],"206":[73],"authentic":[74],"videos":[76],"exhibiting":[77],"diverse":[78],"environments.":[79],"Then":[80],"design":[82],"(UWVSR)":[87],"based":[88],"on":[89,149],"coarse":[90],"fine":[92],"grained":[93],"feature":[94],"alignment.":[95],"UWVSR":[96,148,163],"initially":[97],"processes":[98],"consecutive":[99],"multi-frame":[100],"images,":[101],"employs":[102],"optical":[103],"flow":[104],"extraction":[105],"achieve":[107],"preliminary":[109],"alignment":[110,121],"features":[112,134],"reference":[114],"adjacent":[116],"frames,":[117],"subsequently":[119],"refines":[120],"through":[122,138],"spatial":[124],"attention-based":[125],"mechanism":[126],"capture":[128],"supplementary":[129],"information.":[130],"Finally,":[131],"image":[133],"facilitate":[135],"reconstruction":[137],"pixel":[139],"shuffle":[140],"upsampling.":[141],"We":[142],"qualitatively":[143],"quantitatively":[145],"evaluate":[146],"UW206":[152],"compare":[154],"it":[155],"state-of-the-art":[157],"methods.":[158],"Experimental":[159],"results":[160],"demonstrate":[161],"that":[162],"significantly":[164],"enhances":[165],"quality":[167],"tasks.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
