{"id":"https://openalex.org/W4406264675","doi":"https://doi.org/10.1109/icspcc62635.2024.10770408","title":"Hybrid CNN-Transformer Network for Two-Stage Underwater Image Enhancement with Contrastive Learning","display_name":"Hybrid CNN-Transformer Network for Two-Stage Underwater Image Enhancement with Contrastive Learning","publication_year":2024,"publication_date":"2024-08-19","ids":{"openalex":"https://openalex.org/W4406264675","doi":"https://doi.org/10.1109/icspcc62635.2024.10770408"},"language":"en","primary_location":{"id":"doi:10.1109/icspcc62635.2024.10770408","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc62635.2024.10770408","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","raw_type":"proceedings-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/A5113282273","display_name":"Han-Qiang Chen","orcid":null},"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":true,"raw_author_name":"Han-Qiang Chen","raw_affiliation_strings":["School of Marine Science and Technology, Northwestern Polytechnical University,Xi&#x0027;an,Shaanxi,China"],"affiliations":[{"raw_affiliation_string":"School of Marine Science and Technology, Northwestern Polytechnical University,Xi&#x0027;an,Shaanxi,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007338500","display_name":"Xiaohong Shen","orcid":"https://orcid.org/0000-0002-2361-8327"},"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":"Xiaohong Shen","raw_affiliation_strings":["School of Marine Science and Technology, Northwestern Polytechnical University,Xi&#x0027;an,Shaanxi,China"],"affiliations":[{"raw_affiliation_string":"School of Marine Science and Technology, Northwestern Polytechnical University,Xi&#x0027;an,Shaanxi,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109757850","display_name":"Zhongda Zhao","orcid":null},"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":"Zhongda Zhao","raw_affiliation_strings":["School of Marine Science and Technology, Northwestern Polytechnical University,Xi&#x0027;an,Shaanxi,China"],"affiliations":[{"raw_affiliation_string":"School of Marine Science and Technology, Northwestern Polytechnical University,Xi&#x0027;an,Shaanxi,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108617684","display_name":"Yongsheng Yan","orcid":null},"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":"Yongsheng Yan","raw_affiliation_strings":["School of Marine Science and Technology, Northwestern Polytechnical University,Xi&#x0027;an,Shaanxi,China"],"affiliations":[{"raw_affiliation_string":"School of Marine Science and Technology, Northwestern Polytechnical University,Xi&#x0027;an,Shaanxi,China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5113282273"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.2624,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58593935,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9970999956130981,"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":0.9970999956130981,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9812999963760376,"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":0.6853551864624023},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6798509359359741},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6077150106430054},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48781922459602356},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.4392904043197632},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32826781272888184},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1612323820590973},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.15021196007728577},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.1273568868637085},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.1272851526737213}],"concepts":[{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.6853551864624023},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6798509359359741},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6077150106430054},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48781922459602356},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.4392904043197632},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32826781272888184},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1612323820590973},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.15021196007728577},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1273568868637085},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.1272851526737213},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/icspcc62635.2024.10770408","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc62635.2024.10770408","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8612938853","display_name":null,"funder_award_id":"62271404,62031021","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":0,"referenced_works":[],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Conventional":[0],"and":[1,52,124],"deep":[2,53,114],"learning":[3,54,129],"methods":[4,21,51,85],"have":[5,22],"demonstrated":[6],"notable":[7],"success":[8],"in":[9,122,162],"the":[10,17,58,73,78,95,100,108,132,136,147,155],"field":[11],"of":[12,19,28,60,102,150],"underwater":[13,37,44,70,115,156],"image":[14,45,116,157],"enhancement.":[15],"However,":[16],"majority":[18],"previous":[20],"only":[23],"employed":[24,91],"a":[25,42,113],"single":[26],"type":[27],"enhancement,":[29],"which":[30,88],"is":[31,105,160],"not":[32],"sufficiently":[33],"adaptable":[34,67],"to":[35,62,68,130,168],"complex":[36,69],"environments.":[38,71],"Therefore,":[39],"we":[40,76,111],"design":[41,112],"two-stage":[43],"enhancement":[46,84,104,117,133,148,158],"method":[47,65,153],"that":[48,146],"combines":[49],"traditional":[50,83],"methods,":[55],"thereby":[56],"combining":[57],"advantages":[59],"both":[61],"make":[63],"our":[64,151],"more":[66,161],"In":[72,107],"first":[74],"stage,":[75,110],"infer":[77],"optimal":[79],"outputs":[80],"from":[81],"five":[82],"using":[86],"NIQE,":[87],"are":[89],"then":[90],"as":[92],"inputs":[93],"for":[94],"second":[96,109],"stage.":[97],"After":[98],"that,":[99],"difficulty":[101],"following":[103],"reduced.":[106],"network":[118],"with":[119,127,164],"Transformer":[120],"embedded":[121],"CNN":[123],"combine":[125],"it":[126],"contrastive":[128],"improve":[131],"performance":[134,149],"at":[135],"feature":[137,142],"level":[138],"while":[139],"obtaining":[140],"better":[141],"representation.":[143],"Experiments":[144],"demonstrate":[145],"proposed":[152],"on":[154],"dataset":[159],"alignment":[163],"human":[165],"vision":[166],"compared":[167],"other":[169],"methods.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
