{"id":"https://openalex.org/W4391697013","doi":"https://doi.org/10.1109/tetci.2024.3359061","title":"UIE-Convformer: Underwater Image Enhancement Based on Convolution and Feature Fusion Transformer","display_name":"UIE-Convformer: Underwater Image Enhancement Based on Convolution and Feature Fusion Transformer","publication_year":2024,"publication_date":"2024-02-09","ids":{"openalex":"https://openalex.org/W4391697013","doi":"https://doi.org/10.1109/tetci.2024.3359061"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2024.3359061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2024.3359061","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational Intelligence","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/A5011462875","display_name":"Biao Wang","orcid":"https://orcid.org/0009-0003-8106-1664"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biao Wang","raw_affiliation_strings":["School of Mathematics and Statistics, Ningbo University, Ningbo, China"],"raw_orcid":"https://orcid.org/0009-0003-8106-1664","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030642173","display_name":"Haiyong Xu","orcid":"https://orcid.org/0000-0003-1590-6799"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyong Xu","raw_affiliation_strings":["School of Mathematics and Statistics, Ningbo University, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0003-1590-6799","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073572452","display_name":"Gangyi Jiang","orcid":"https://orcid.org/0000-0003-4896-9876"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gangyi Jiang","raw_affiliation_strings":["Faculty of Information Science and Engineering, Ningbo University, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0003-4896-9876","affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Engineering, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091433252","display_name":"Mei Yu","orcid":"https://orcid.org/0000-0003-3583-1587"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mei Yu","raw_affiliation_strings":["Faculty of Information Science and Engineering, Ningbo University, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0003-3583-1587","affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Engineering, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046932502","display_name":"Tingdi Ren","orcid":"https://orcid.org/0000-0002-3362-2370"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingdi Ren","raw_affiliation_strings":["School of Mathematics and Statistics, Ningbo University, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0002-3362-2370","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060792504","display_name":"Ting Luo","orcid":"https://orcid.org/0000-0003-1762-148X"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Luo","raw_affiliation_strings":["Faculty of Information Science and Engineering, Ningbo University, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0003-1762-148X","affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Engineering, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100758792","display_name":"Zhongjie Zhu","orcid":"https://orcid.org/0000-0002-4095-7128"},"institutions":[{"id":"https://openalex.org/I1315279114","display_name":"Zhejiang Wanli University","ror":"https://ror.org/00rjdhd62","country_code":"CN","type":"education","lineage":["https://openalex.org/I1315279114"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongjie Zhu","raw_affiliation_strings":["College of Information and Intelligence Engineering, Zhejiang Wanli University, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0002-4095-7128","affiliations":[{"raw_affiliation_string":"College of Information and Intelligence Engineering, Zhejiang Wanli University, Ningbo, China","institution_ids":["https://openalex.org/I1315279114"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.8907,"has_fulltext":false,"cited_by_count":60,"citation_normalized_percentile":{"value":0.99103584,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"8","issue":"2","first_page":"1952","last_page":"1968"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9991999864578247,"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":0.7523293495178223},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6740491986274719},{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.6526931524276733},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5749577283859253},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5535361766815186},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5217286348342896},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5184854865074158},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4523717164993286},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.08327394723892212}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7523293495178223},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6740491986274719},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.6526931524276733},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5749577283859253},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5535361766815186},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5217286348342896},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5184854865074158},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4523717164993286},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08327394723892212},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/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/tetci.2024.3359061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2024.3359061","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[{"id":"https://openalex.org/G2548075413","display_name":null,"funder_award_id":"20221JCGY010527","funder_id":"https://openalex.org/F4320332587","funder_display_name":"Natural Science Foundation of Ningbo"},{"id":"https://openalex.org/G517888862","display_name":null,"funder_award_id":"61671412","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5194257468","display_name":null,"funder_award_id":"62071266","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5674109446","display_name":null,"funder_award_id":"202003N4088","funder_id":"https://openalex.org/F4320332587","funder_display_name":"Natural Science Foundation of Ningbo"},{"id":"https://openalex.org/G5916484069","display_name":null,"funder_award_id":"62171243","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7773683948","display_name":"\u9762\u5411LDR\u7acb\u4f53\u663e\u793a\u7684HDR\u7acb\u4f53\u89c6\u9891\u7248\u6743\u4fdd\u62a4\u7814\u7a76","funder_award_id":"61971247","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8024235285","display_name":null,"funder_award_id":"2022J066","funder_id":"https://openalex.org/F4320332587","funder_display_name":"Natural Science Foundation of Ningbo"},{"id":"https://openalex.org/G8311167460","display_name":null,"funder_award_id":"61931022","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"},{"id":"https://openalex.org/F4320332587","display_name":"Natural Science Foundation of Ningbo","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W2009071067","https://openalex.org/W2081140338","https://openalex.org/W2102166818","https://openalex.org/W2107858703","https://openalex.org/W2108598243","https://openalex.org/W2181646778","https://openalex.org/W2474516010","https://openalex.org/W2562637781","https://openalex.org/W2587107113","https://openalex.org/W2593797484","https://openalex.org/W2747017299","https://openalex.org/W2778341433","https://openalex.org/W2788241093","https://openalex.org/W2794405642","https://openalex.org/W2798898057","https://openalex.org/W2910466627","https://openalex.org/W2950055287","https://openalex.org/W2990176100","https://openalex.org/W2997763120","https://openalex.org/W2998249728","https://openalex.org/W3006777311","https://openalex.org/W3009406242","https://openalex.org/W3034971973","https://openalex.org/W3040189317","https://openalex.org/W3094642822","https://openalex.org/W3095921757","https://openalex.org/W3098546057","https://openalex.org/W3099025816","https://openalex.org/W3103227769","https://openalex.org/W3119502086","https://openalex.org/W3124582122","https://openalex.org/W3129687050","https://openalex.org/W3156187408","https://openalex.org/W3157502174","https://openalex.org/W3159660641","https://openalex.org/W3205291758","https://openalex.org/W3210581583","https://openalex.org/W4206557398","https://openalex.org/W4213078046","https://openalex.org/W4221166201","https://openalex.org/W4225259024","https://openalex.org/W4225672218","https://openalex.org/W4281262963","https://openalex.org/W4282914989","https://openalex.org/W4283784160","https://openalex.org/W4285227671","https://openalex.org/W4294982738","https://openalex.org/W4307227521","https://openalex.org/W4312766223","https://openalex.org/W4313059954","https://openalex.org/W4323543215","https://openalex.org/W4365479090","https://openalex.org/W4377079715","https://openalex.org/W4377235560","https://openalex.org/W4378804701","https://openalex.org/W4381198963","https://openalex.org/W4382138530","https://openalex.org/W4385151536","https://openalex.org/W4385222086","https://openalex.org/W4385245566","https://openalex.org/W6637373629","https://openalex.org/W6684191040","https://openalex.org/W6784333009","https://openalex.org/W6809923571"],"related_works":["https://openalex.org/W2601157893","https://openalex.org/W2373006798","https://openalex.org/W2131735617","https://openalex.org/W2056912418","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640","https://openalex.org/W2049538278","https://openalex.org/W2886173746","https://openalex.org/W4200043248"],"abstract_inverted_index":{"Due":[0],"to":[1,56,90,148,168,181,198],"the":[2,9,25,34,48,82,98,107,113,124,131,134,154,163,166,187,190,193,201,204,218,221],"light":[3,118],"scattering":[4,116],"and":[5,21,62,72,96,100,115,127,144,165,176,207],"absorption":[6,114],"of":[7,11,79,94,102,117,189,203,220],"impurities,":[8],"quality":[10],"underwater":[12,19,29,80,132,205],"imaging":[13],"is":[14,45,69,88,146,160,196],"poor,":[15],"which":[16,179],"seriously":[17],"affects":[18],"exploration":[20],"research.":[22],"To":[23],"address":[24],"problem,":[26],"a":[27,40,52],"novel":[28],"image":[30],"enhancement":[31],"method":[32],"integrating":[33],"convolutional":[35],"neural":[36],"network":[37],"(CNN)":[38],"with":[39],"feature":[41,77,103,135,151,184],"fusion":[42,136,143],"Transformer":[43],"(UIE-Convformer)":[44],"proposed.":[46],"Specifically,":[47],"proposed":[49,89,147,222],"UIE-Convformer":[50],"adopts":[51],"multi-scale":[53,170],"U-Net":[54],"structure":[55],"fully":[57],"mine":[58],"rich":[59],"texture":[60],"information":[61,78,142,185],"semantic":[63],"information.":[64],"Firstly,":[65],"considering":[66,106],"that":[67],"CNN":[68,87],"more":[70],"efficient":[71],"comprehensive":[73],"in":[74,119,130],"extracting":[75],"local":[76,92],"images,":[81],"ConvBlock":[83],"module":[84,138,195],"based":[85],"on":[86,214],"extract":[91],"features":[93,171],"images":[95,206],"ensure":[97],"efficiency":[99],"integrity":[101],"extraction.":[104],"Furthermore,":[105],"serious":[108],"color":[109],"deviation":[110],"caused":[111],"by":[112],"water,":[120],"as":[121,123],"well":[122],"large-scale":[125],"blur":[126],"diffusion":[128],"effects":[129],"environment,":[133],"transformer":[137],"(Feaformer)":[139],"for":[140,186],"global":[141],"reconstruction":[145,188],"establish":[149],"long-distance":[150],"dependency.":[152],"Additionally,":[153],"Jump":[155],"Fusion":[156],"Connection":[157],"Module":[158],"(JFCM)":[159],"built":[161],"between":[162],"encoder":[164],"decoder":[167],"fuse":[169],"through":[172],"effective":[173],"bidirectional":[174],"cross-connection":[175],"weighted":[177],"fusion,":[178],"helps":[180],"provide":[182],"richer":[183],"decoder.":[191],"Finally,":[192],"refinement":[194],"designed":[197],"further":[199],"optimize":[200],"details":[202],"achieve":[208],"better":[209],"visual":[210],"effects.":[211],"Experimental":[212],"results":[213],"available":[215],"datasets":[216],"show":[217],"effectiveness":[219],"UIE-Convformer.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":13},{"year":2025,"cited_by_count":42},{"year":2024,"cited_by_count":5}],"updated_date":"2026-07-21T08:15:58.654021","created_date":"2025-10-10T00:00:00"}
