{"id":"https://openalex.org/W4399039436","doi":"https://doi.org/10.1109/lsp.2024.3405909","title":"Integrating Cross-Domain Feature Representation and Semantic Guidance for Underwater Image Enhancement","display_name":"Integrating Cross-Domain Feature Representation and Semantic Guidance for Underwater Image Enhancement","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399039436","doi":"https://doi.org/10.1109/lsp.2024.3405909"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2024.3405909","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3405909","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5000296975","display_name":"Fei Li","orcid":"https://orcid.org/0000-0002-4184-7203"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fei Li","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-4184-7203","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100680275","display_name":"Jiangbin Zheng","orcid":"https://orcid.org/0000-0001-5249-2148"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangbin Zheng","raw_affiliation_strings":["School of Software and Microelectronics, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-5249-2148","affiliations":[{"raw_affiliation_string":"School of Software and Microelectronics, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101483717","display_name":"Lu Wang","orcid":"https://orcid.org/0000-0003-2210-169X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Wang","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-2210-169X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009038400","display_name":"Shengkang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengkang Wang","raw_affiliation_strings":["Hangzhou Institute of Technology, Xidian University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0002-2960-1291","affiliations":[{"raw_affiliation_string":"Hangzhou Institute of Technology, Xidian University, Hangzhou, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5000296975"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":1.9046,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.86737061,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"31","issue":null,"first_page":"1511","last_page":"1515"},"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/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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9995999932289124,"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":0.6969467997550964},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6466683149337769},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5946769714355469},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5778141021728516},{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.522236704826355},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.521653950214386},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.51231849193573},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.49967074394226074},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45511820912361145},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.43709903955459595},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4356370270252228},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.31521719694137573},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14282211661338806},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.08353334665298462}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6969467997550964},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6466683149337769},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5946769714355469},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5778141021728516},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.522236704826355},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.521653950214386},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.51231849193573},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.49967074394226074},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45511820912361145},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.43709903955459595},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4356370270252228},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.31521719694137573},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14282211661338806},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08353334665298462},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2024.3405909","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3405909","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[{"id":"https://openalex.org/G5594940356","display_name":null,"funder_award_id":"62301397","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6387126519","display_name":null,"funder_award_id":"XJSJ23034","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2181646778","https://openalex.org/W2474516010","https://openalex.org/W2741137940","https://openalex.org/W2787091153","https://openalex.org/W2794405642","https://openalex.org/W2990176100","https://openalex.org/W2997763120","https://openalex.org/W3006777311","https://openalex.org/W3132413796","https://openalex.org/W3157502174","https://openalex.org/W3159660641","https://openalex.org/W3176071058","https://openalex.org/W3203313153","https://openalex.org/W3212131794","https://openalex.org/W4214745154","https://openalex.org/W4224242030","https://openalex.org/W4282914989","https://openalex.org/W4283820866","https://openalex.org/W4300479382","https://openalex.org/W4304086152","https://openalex.org/W4308745379","https://openalex.org/W4328029475","https://openalex.org/W4386071708","https://openalex.org/W4386075513","https://openalex.org/W4392693690","https://openalex.org/W6631190155","https://openalex.org/W6637373629"],"related_works":["https://openalex.org/W2312819198","https://openalex.org/W3036032503","https://openalex.org/W2941415828","https://openalex.org/W4280622786","https://openalex.org/W2561491196","https://openalex.org/W2319500318","https://openalex.org/W4379791551","https://openalex.org/W1997438849","https://openalex.org/W4312753625","https://openalex.org/W2356662304"],"abstract_inverted_index":{"Underwater":[0],"Image":[1],"Enhancement":[2],"(UIE)":[3],"encounters":[4],"substantial":[5],"challenges":[6],"due":[7],"to":[8,27,37,138],"the":[9,39,45,52,80,96,135,154,160],"intricate":[10],"nature":[11,54],"of":[12,41,47,55],"physical":[13],"degradation":[14],"processes":[15],"that":[16],"diminish":[17],"visibility":[18],"in":[19,62,152,182],"underwater":[20,147],"images.":[21],"Existing":[22],"methods":[23,58],"leverage":[24],"learning-based":[25],"models":[26],"delineate":[28],"pixel":[29],"mappings":[30],"for":[31,74,104,120],"either":[32],"paired":[33,48],"or":[34],"unpaired":[35,141,166],"images":[36],"ameliorate":[38],"quality":[40,177],"degraded":[42],"visuals.":[43],"Nonetheless,":[44],"paucity":[46],"image":[49,86],"datasets":[50],"and":[51,112,126,144],"erratic":[53],"unsupervised":[56,183],"learning":[57,70,92,132,151],"considerably":[59],"hinder":[60],"advancements":[61,181],"UIE.":[63],"This":[64],"study":[65],"presents":[66],"an":[67],"innovative":[68],"contrastive":[69,106,131],"framework":[71],"specifically":[72],"designed":[73],"UIE,":[75],"aimed":[76],"at":[77],"effectively":[78],"addressing":[79],"aforementioned":[81],"challenges.":[82],"Our":[83],"strategy":[84],"reconceptualizes":[85],"enhancement":[87,97,136,155],"as":[88],"a":[89],"multi-task":[90],"joint":[91],"problem,":[93],"thus":[94],"fortifying":[95],"process.":[98],"We":[99],"pinpoint":[100],"three":[101],"pivotal":[102],"aspects":[103],"UIE:":[105],"feature":[107,114,162],"learning,":[108],"semantic":[109,150,161],"information":[110],"coherence,":[111],"cross-domain":[113],"transfer.":[115],"These":[116],"elements":[117],"are":[118],"imperative":[119],"augmenting":[121],"contrast,":[122],"preserving":[123],"texture":[124],"integrity,":[125],"ensuring":[127],"color":[128],"accuracy.":[129],"The":[130],"paradigm":[133],"empowers":[134],"module":[137],"discern":[139],"between":[140],"positive":[142],"(high-quality)":[143],"negative":[145],"(degraded)":[146],"images,":[148,168],"facilitating":[149],"refining":[153],"network":[156],"systematically.":[157],"By":[158],"leveraging":[159],"domain":[163],"extracted":[164],"from":[165],"high-quality":[167],"our":[169],"method":[170],"demonstrates":[171],"superior":[172],"performance,":[173],"validated":[174],"by":[175],"several":[176],"metrics,":[178],"outperforming":[179],"recent":[180],"UIE":[184],"techniques.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":8}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}