{"id":"https://openalex.org/W3156187408","doi":"https://doi.org/10.1109/tcsvt.2021.3074197","title":"Underwater Image Co-Enhancement With Correlation Feature Matching and Joint Learning","display_name":"Underwater Image Co-Enhancement With Correlation Feature Matching and Joint Learning","publication_year":2021,"publication_date":"2021-04-21","ids":{"openalex":"https://openalex.org/W3156187408","doi":"https://doi.org/10.1109/tcsvt.2021.3074197","mag":"3156187408"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2021.3074197","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2021.3074197","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5100406575","display_name":"Qi Qi","orcid":"https://orcid.org/0000-0002-1837-9501"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qi Qi","raw_affiliation_strings":["College of Information Science and Engineering, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014707193","display_name":"Yongchang Zhang","orcid":"https://orcid.org/0000-0001-8480-2948"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongchang Zhang","raw_affiliation_strings":["College of Information Science and Engineering, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103275673","display_name":"Fei Tian","orcid":"https://orcid.org/0000-0003-4345-3125"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Tian","raw_affiliation_strings":["College of Information Science and Engineering, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100731724","display_name":"Q. M. Jonathan Wu","orcid":"https://orcid.org/0000-0002-5208-7975"},"institutions":[{"id":"https://openalex.org/I74413500","display_name":"University of Windsor","ror":"https://ror.org/01gw3d370","country_code":"CA","type":"education","lineage":["https://openalex.org/I74413500"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Q. M. Jonathan Wu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON, Canada","institution_ids":["https://openalex.org/I74413500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037329603","display_name":"Kunqian Li","orcid":"https://orcid.org/0000-0001-9831-6457"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kunqian Li","raw_affiliation_strings":["College of Engineering, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025004064","display_name":"Xin Luan","orcid":"https://orcid.org/0000-0002-3021-6211"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Luan","raw_affiliation_strings":["College of Information Science and Engineering, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028696660","display_name":"Dalei Song","orcid":"https://orcid.org/0000-0001-5407-5989"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dalei Song","raw_affiliation_strings":["College of Engineering, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100406575"],"corresponding_institution_ids":["https://openalex.org/I59028903"],"apc_list":null,"apc_paid":null,"fwci":10.3928,"has_fulltext":false,"cited_by_count":155,"citation_normalized_percentile":{"value":0.98840781,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"32","issue":"3","first_page":"1133","last_page":"1147"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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":0.9986000061035156,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9986000061035156,"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":0.9128085374832153},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7317680716514587},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7300738096237183},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.621228814125061},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5507307648658752},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5184571146965027},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46384647488594055},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3986901640892029},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.18681618571281433}],"concepts":[{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.9128085374832153},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7317680716514587},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7300738096237183},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.621228814125061},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5507307648658752},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5184571146965027},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46384647488594055},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3986901640892029},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.18681618571281433},{"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/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/tcsvt.2021.3074197","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2021.3074197","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[{"id":"https://openalex.org/G2243518535","display_name":null,"funder_award_id":"201813022","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2496334077","display_name":null,"funder_award_id":"201964013","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7408572944","display_name":null,"funder_award_id":"61906177","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G863613010","display_name":null,"funder_award_id":"ZR2019BF034","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W12809283","https://openalex.org/W88469699","https://openalex.org/W95926497","https://openalex.org/W125693051","https://openalex.org/W764651262","https://openalex.org/W1534510265","https://openalex.org/W1686810756","https://openalex.org/W1808966389","https://openalex.org/W1901129140","https://openalex.org/W1966601141","https://openalex.org/W1986811142","https://openalex.org/W2001412060","https://openalex.org/W2055447163","https://openalex.org/W2081140338","https://openalex.org/W2099471712","https://openalex.org/W2112553126","https://openalex.org/W2129112648","https://openalex.org/W2133665775","https://openalex.org/W2157244733","https://openalex.org/W2293581118","https://openalex.org/W2295326880","https://openalex.org/W2298532145","https://openalex.org/W2337182152","https://openalex.org/W2358876993","https://openalex.org/W2523532944","https://openalex.org/W2593797484","https://openalex.org/W2604999192","https://openalex.org/W2763503841","https://openalex.org/W2767009334","https://openalex.org/W2783488367","https://openalex.org/W2789771527","https://openalex.org/W2792328492","https://openalex.org/W2884421382","https://openalex.org/W2891230440","https://openalex.org/W2892449464","https://openalex.org/W2892845027","https://openalex.org/W2896011443","https://openalex.org/W2943941265","https://openalex.org/W2954275231","https://openalex.org/W2962793481","https://openalex.org/W2964028976","https://openalex.org/W2964088115","https://openalex.org/W2964283970","https://openalex.org/W2966501856","https://openalex.org/W2971483169","https://openalex.org/W2981689412","https://openalex.org/W2987190912","https://openalex.org/W2990176100","https://openalex.org/W2990844506","https://openalex.org/W2997763120","https://openalex.org/W3006777311","https://openalex.org/W3007854059","https://openalex.org/W3009406242","https://openalex.org/W3017462746","https://openalex.org/W3038967119","https://openalex.org/W3063016731","https://openalex.org/W3099025816","https://openalex.org/W3099562471","https://openalex.org/W6637373629"],"related_works":["https://openalex.org/W2601157893","https://openalex.org/W2131735617","https://openalex.org/W2373006798","https://openalex.org/W2056912418","https://openalex.org/W2123759770","https://openalex.org/W2033213769","https://openalex.org/W2811390910","https://openalex.org/W4312376745","https://openalex.org/W2082269393","https://openalex.org/W2043960970"],"abstract_inverted_index":{"In":[0,89],"underwater":[1,4,37,40,72,152],"scenes,":[2],"degraded":[3],"images":[5,67,79],"caused":[6],"by":[7],"wavelength-dependent":[8],"light":[9],"absorption":[10],"and":[11,36,158],"scattering":[12],"present":[13],"huge":[14],"challenges":[15],"to":[16,27,126],"vision":[17],"tasks.":[18],"Underwater":[19,95,139,144,161],"image":[20,41],"enhancement":[21,42,61],"has":[22],"attracted":[23],"much":[24],"attention":[25],"due":[26],"the":[28,48,60,70,116,128,132,138,167],"significance":[29],"of":[30,62,119,131,169],"vision-based":[31],"applications":[32],"in":[33,47,69,124],"marine":[34],"engineering":[35],"robotics.":[38],"Numerous":[39],"algorithms":[43],"have":[44],"been":[45],"proposed":[46],"last":[49],"few":[50],"years.":[51],"However,":[52],"almost":[53],"all":[54],"existing":[55],"approaches":[56],"focus":[57],"only":[58],"on":[59,101],"independent":[63],"images.":[64],"Considering":[65],"that":[66],"photographed":[68],"same":[71],"scene":[73],"usually":[74],"share":[75],"similar":[76],"degradation,":[77],"related":[78],"can":[80],"provide":[81],"rich":[82],"complementary":[83],"information":[84],"for":[85],"each":[86],"other’s":[87],"enhancement.":[88],"this":[90],"paper,":[91],"we":[92,109],"propose":[93],"an":[94,102,151],"Image":[96,140,145,162],"Co-enhancement":[97,146],"Network":[98],"(UICoE-Net)":[99],"based":[100],"encoder-decoder":[103,122],"Siamese":[104,121],"architecture.":[105],"For":[106],"joint":[107],"learning,":[108],"introduced":[110],"correlation":[111,130],"feature":[112],"matching":[113],"units":[114],"into":[115],"multiple":[117],"layers":[118],"our":[120,170],"structure":[123],"order":[125],"communicate":[127],"mutual":[129],"two":[133],"branches.":[134],"Extensive":[135],"experiments":[136],"using":[137],"Enhancement":[141],"Benchmark":[142],"(UIEB),":[143],"Dataset":[147,163],"(UICoD)":[148],"collected":[149],"from":[150],"video":[153],"dataset":[154,165],"with":[155],"ground-truth":[156],"reference":[157],"Stereo":[159],"Quantitative":[160],"(SQUID)":[164],"demonstrate":[166],"effectiveness":[168],"method.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":38},{"year":2024,"cited_by_count":39},{"year":2023,"cited_by_count":48},{"year":2022,"cited_by_count":20}],"updated_date":"2026-04-04T08:04:53.788161","created_date":"2025-10-10T00:00:00"}