{"id":"https://openalex.org/W4377079715","doi":"https://doi.org/10.1109/tip.2023.3276332","title":"U-Shape Transformer for Underwater Image Enhancement","display_name":"U-Shape Transformer for Underwater Image Enhancement","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4377079715","doi":"https://doi.org/10.1109/tip.2023.3276332","pmid":"https://pubmed.ncbi.nlm.nih.gov/37200123"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2023.3276332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2023.3276332","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5112422329","display_name":"Lintao Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lintao Peng","raw_affiliation_strings":["MIIT Key Laboratory of Complex-Field Intelligent Sensing, Beijing Institute of Technology, Beijing, China","Advanced Research Institute of Multidisciplinary Science & School of Information and Electronics, Beijing Institute of Technology, Beijing, China","MIIT Key Laboratory of Complex-field Intelligent Sensing, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIIT Key Laboratory of Complex-Field Intelligent Sensing, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"Advanced Research Institute of Multidisciplinary Science & School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"MIIT Key Laboratory of Complex-field Intelligent Sensing, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042218238","display_name":"Chunli Zhu","orcid":"https://orcid.org/0000-0002-6109-9484"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunli Zhu","raw_affiliation_strings":["MIIT Key Laboratory of Complex-Field Intelligent Sensing, Beijing Institute of Technology, Beijing, China","MIIT Key Laboratory of Complex-field Intelligent Sensing, Beijing Institute of Technology, Beijing, China","Advanced Research Institute of Multidisciplinary Science & School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6109-9484","affiliations":[{"raw_affiliation_string":"MIIT Key Laboratory of Complex-Field Intelligent Sensing, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"MIIT Key Laboratory of Complex-field Intelligent Sensing, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"Advanced Research Institute of Multidisciplinary Science & School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090932389","display_name":"Liheng Bian","orcid":"https://orcid.org/0000-0002-8016-0375"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liheng Bian","raw_affiliation_strings":["MIIT Key Laboratory of Complex-Field Intelligent Sensing, Beijing Institute of Technology, Beijing, China","MIIT Key Laboratory of Complex-field Intelligent Sensing, Beijing Institute of Technology, Beijing, China","Advanced Research Institute of Multidisciplinary Science & School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8016-0375","affiliations":[{"raw_affiliation_string":"MIIT Key Laboratory of Complex-Field Intelligent Sensing, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"MIIT Key Laboratory of Complex-field Intelligent Sensing, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"Advanced Research Institute of Multidisciplinary Science & School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":77.9425,"has_fulltext":false,"cited_by_count":732,"citation_normalized_percentile":{"value":0.99967696,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"32","issue":null,"first_page":"3066","last_page":"3079"},"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":0.9991000294685364,"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":0.9987999796867371,"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":0.7325282692909241},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7013593912124634},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6691285967826843},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.579346239566803},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5128374695777893},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.47669216990470886},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.47503331303596497},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.4385468363761902},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.43031519651412964},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4241676330566406},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33457058668136597},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1508616805076599},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14567464590072632},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11965537071228027},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.10410964488983154}],"concepts":[{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.7325282692909241},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7013593912124634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6691285967826843},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.579346239566803},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5128374695777893},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.47669216990470886},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.47503331303596497},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.4385468363761902},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.43031519651412964},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4241676330566406},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33457058668136597},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1508616805076599},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14567464590072632},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11965537071228027},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.10410964488983154},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2023.3276332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2023.3276332","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:37200123","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37200123","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[{"id":"https://openalex.org/G4810870800","display_name":null,"funder_award_id":"62131003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6680100950","display_name":"\u7a7a-\u65f6\u5168\u5206\u8fa8\u7387\u7684\u9ad8\u5149\u8c31\u89c6\u9891\u8ba1\u7b97\u6444\u50cf\u7814\u7a76","funder_award_id":"61971045","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G712080188","display_name":null,"funder_award_id":"61991451","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1973569872","https://openalex.org/W1976263166","https://openalex.org/W1986431218","https://openalex.org/W1990592195","https://openalex.org/W2000512760","https://openalex.org/W2009071067","https://openalex.org/W2055447163","https://openalex.org/W2064076387","https://openalex.org/W2069734445","https://openalex.org/W2081140338","https://openalex.org/W2091420866","https://openalex.org/W2094185466","https://openalex.org/W2102166818","https://openalex.org/W2141303451","https://openalex.org/W2145885328","https://openalex.org/W2146795245","https://openalex.org/W2162456646","https://openalex.org/W2181646778","https://openalex.org/W2293581118","https://openalex.org/W2331128040","https://openalex.org/W2474516010","https://openalex.org/W2502312327","https://openalex.org/W2512018227","https://openalex.org/W2523532944","https://openalex.org/W2587107113","https://openalex.org/W2593797484","https://openalex.org/W2596058005","https://openalex.org/W2758376227","https://openalex.org/W2763503841","https://openalex.org/W2767009334","https://openalex.org/W2778341433","https://openalex.org/W2783488367","https://openalex.org/W2799265886","https://openalex.org/W2892845027","https://openalex.org/W2944145691","https://openalex.org/W2948400274","https://openalex.org/W2950055287","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W2964088115","https://openalex.org/W2966501856","https://openalex.org/W2971483169","https://openalex.org/W2990176100","https://openalex.org/W2991938283","https://openalex.org/W2996290406","https://openalex.org/W2997763120","https://openalex.org/W3006777311","https://openalex.org/W3009406242","https://openalex.org/W3035231706","https://openalex.org/W3099025816","https://openalex.org/W3099562471","https://openalex.org/W3138516171","https://openalex.org/W3157502174","https://openalex.org/W3159660641","https://openalex.org/W3197957534","https://openalex.org/W3207918547","https://openalex.org/W3212153279","https://openalex.org/W4214755140","https://openalex.org/W4221161982","https://openalex.org/W4225309680","https://openalex.org/W4225672218","https://openalex.org/W4251708881","https://openalex.org/W4282914989","https://openalex.org/W4312678820","https://openalex.org/W4312812783","https://openalex.org/W4312938066","https://openalex.org/W4385245566","https://openalex.org/W6724804524","https://openalex.org/W6763381028","https://openalex.org/W6803715543"],"related_works":["https://openalex.org/W1655795019","https://openalex.org/W2028896475","https://openalex.org/W2082216369","https://openalex.org/W2150382074","https://openalex.org/W2390727152","https://openalex.org/W2000042884","https://openalex.org/W2385373070","https://openalex.org/W3198104320","https://openalex.org/W2364571238","https://openalex.org/W4316813138"],"abstract_inverted_index":{"The":[0,14,85,132,204,223],"light":[1],"absorption":[2],"and":[3,35,47,75,104,146,169,184,193,225],"scattering":[4],"of":[5,27,214],"underwater":[6,11,18,33,65,73,83,90],"impurities":[7],"lead":[8],"to":[9,128,165,179],"poor":[10],"imaging":[12],"quality.":[13],"existing":[15,82],"data-driven":[16],"based":[17],"image":[19,66,91],"enhancement":[20],"(UIE)":[21],"techniques":[22],"suffer":[23],"from":[24],"the":[25,40,119,124,129,162,166,182,200,211,215],"lack":[26],"a":[28,62,138,147,186],"large-scale":[29],"dataset":[30,86,224],"containing":[31],"various":[32],"scenes":[34,74],"high-fidelity":[36],"reference":[37,79,99],"images.":[38],"Besides,":[39],"inconsistent":[41],"attenuation":[42],"in":[43,93,177],"different":[44],"color":[45,167,195],"channels":[46,168],"space":[48,170],"areas":[49,171],"is":[50,122,135,197],"not":[51],"fully":[52],"considered":[53],"for":[54,123,157],"boosted":[55],"enhancement.":[56],"In":[57],"this":[58],"work,":[59],"we":[60],"built":[61],"large":[63],"scale":[64],"(LSUI)":[67],"dataset,":[68],"which":[69,94,160],"covers":[70],"more":[71,173,219],"abundant":[72],"better":[76],"visual":[77],"quality":[78],"images":[80],"than":[81,220],"datasets.":[84],"contains":[87],"4279":[88],"real-world":[89],"groups,":[92],"each":[95],"raw":[96],"image's":[97],"clear":[98],"images,":[100],"semantic":[101],"segmentation":[102],"map":[103,107],"medium":[105],"transmission":[106],"are":[108,228],"paired":[109],"correspondingly.":[110],"We":[111],"also":[112],"reported":[113,216],"an":[114],"U-shape":[115,133],"Transformer":[116,134],"network":[117],"where":[118],"transformer":[120,143,152],"model":[121],"first":[125],"time":[126],"introduced":[127],"UIE":[130,158],"task.":[131],"integrated":[136],"with":[137,172,218],"channel-wise":[139],"multi-scale":[140],"feature":[141,150],"fusion":[142],"(CMSFFT)":[144],"module":[145,154],"spatial-wise":[148],"global":[149],"modeling":[151],"(SGFMT)":[153],"specially":[155],"designed":[156,198],"task,":[159],"reinforce":[161],"network's":[163],"attention":[164],"serious":[174],"attenuation.":[175],"Meanwhile,":[176],"order":[178],"further":[180],"improve":[181],"contrast":[183],"saturation,":[185],"novel":[187],"loss":[188],"function":[189],"combining":[190],"RGB,":[191],"LAB":[192],"LCH":[194],"spaces":[196],"following":[199],"human":[201],"vision":[202],"principle.":[203],"extensive":[205],"experiments":[206],"on":[207],"available":[208,229],"datasets":[209],"validate":[210],"state-of-the-art":[212],"performance":[213],"technique":[217],"2dB":[221],"superiority.":[222],"demo":[226],"code":[227],"at":[230],"https://bianlab.github.io/.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":155},{"year":2025,"cited_by_count":356},{"year":2024,"cited_by_count":190},{"year":2023,"cited_by_count":28},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-05T07:55:05.734416","created_date":"2025-10-10T00:00:00"}
