{"id":"https://openalex.org/W7104933787","doi":"https://doi.org/10.1109/tce.2025.3631911","title":"AquaClarity: Vision Transformer Enhances Underwater Image via Nonlinear Feature Fusion and Color Fidelity Improvement","display_name":"AquaClarity: Vision Transformer Enhances Underwater Image via Nonlinear Feature Fusion and Color Fidelity Improvement","publication_year":2025,"publication_date":"2025-11-12","ids":{"openalex":"https://openalex.org/W7104933787","doi":"https://doi.org/10.1109/tce.2025.3631911"},"language":null,"primary_location":{"id":"doi:10.1109/tce.2025.3631911","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2025.3631911","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","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":null,"display_name":"Xuhang Chen","orcid":"https://orcid.org/0000-0001-6000-3914"},"institutions":[{"id":"https://openalex.org/I93477617","display_name":"Huizhou University","ror":"https://ror.org/03q3s7962","country_code":"CN","type":"education","lineage":["https://openalex.org/I93477617"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuhang Chen","raw_affiliation_strings":["School of Computer Science and Engineering, Huizhou University, Huizhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Huizhou University, Huizhou, China","institution_ids":["https://openalex.org/I93477617"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zimeng Li","orcid":"https://orcid.org/0000-0003-2798-3134"},"institutions":[{"id":"https://openalex.org/I182722699","display_name":"Shenzhen Polytechnic University","ror":"https://ror.org/00d2w9g53","country_code":"CN","type":"education","lineage":["https://openalex.org/I182722699"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zimeng Li","raw_affiliation_strings":["School of Electronic and Communication Engineering, Shenzhen Polytechnic University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Communication Engineering, Shenzhen Polytechnic University, Shenzhen, China","institution_ids":["https://openalex.org/I182722699"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiujun Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I182722699","display_name":"Shenzhen Polytechnic University","ror":"https://ror.org/00d2w9g53","country_code":"CN","type":"education","lineage":["https://openalex.org/I182722699"]},{"id":"https://openalex.org/I4210153300","display_name":"Shanghai Research Center for Wireless Communications","ror":"https://ror.org/04xfd0826","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210153300"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiujun Zhang","raw_affiliation_strings":["Center for Intelligent Wireless Network and Collaborative Control, Shanghai Jiao Tong University, Shanghai, China","School of Electronic and Communication Engineering, Shenzhen Polytechnic University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Center for Intelligent Wireless Network and Collaborative Control, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I4210153300"]},{"raw_affiliation_string":"School of Electronic and Communication Engineering, Shenzhen Polytechnic University, Shenzhen, China","institution_ids":["https://openalex.org/I182722699"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yingtie Lei","orcid":null},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Yingtie Lei","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macau, SAR, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macau, SAR, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yihang Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihang Dong","raw_affiliation_strings":["Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiaofeng Zhang","orcid":"https://orcid.org/0000-0002-7185-4682"},"institutions":[{"id":"https://openalex.org/I182722699","display_name":"Shenzhen Polytechnic University","ror":"https://ror.org/00d2w9g53","country_code":"CN","type":"education","lineage":["https://openalex.org/I182722699"]},{"id":"https://openalex.org/I4210153300","display_name":"Shanghai Research Center for Wireless Communications","ror":"https://ror.org/04xfd0826","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210153300"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Zhang","raw_affiliation_strings":["Center for Intelligent Wireless Network and Collaborative Control, Shanghai Jiao Tong University, Shanghai, China","School of Electronic and Communication Engineering, Shenzhen Polytechnic University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Center for Intelligent Wireless Network and Collaborative Control, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I4210153300"]},{"raw_affiliation_string":"School of Electronic and Communication Engineering, Shenzhen Polytechnic University, Shenzhen, China","institution_ids":["https://openalex.org/I182722699"]}]},{"author_position":"last","author":{"id":null,"display_name":"Chi-Man Pun","orcid":"https://orcid.org/0000-0003-1788-3746"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Chi-Man Pun","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macau, SAR, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macau, SAR, China","institution_ids":["https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I93477617"],"apc_list":null,"apc_paid":null,"fwci":1.2826,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.86752459,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"72","issue":"1","first_page":"1122","last_page":"1129"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9907000064849854,"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":0.9907000064849854,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.0027000000700354576,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.0008999999845400453,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.6640999913215637},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6103000044822693},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5640000104904175},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4713999927043915},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4239000082015991},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41350001096725464},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.3865000009536743},{"id":"https://openalex.org/keywords/chromatic-scale","display_name":"Chromatic scale","score":0.3813999891281128},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.3702000081539154}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7163000106811523},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7081000208854675},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.6640999913215637},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.646399974822998},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6103000044822693},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5640000104904175},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4713999927043915},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4239000082015991},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41350001096725464},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.3865000009536743},{"id":"https://openalex.org/C196956537","wikidata":"https://www.wikidata.org/wiki/Q202021","display_name":"Chromatic scale","level":2,"score":0.3813999891281128},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.3702000081539154},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.3571999967098236},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35010001063346863},{"id":"https://openalex.org/C2779495555","wikidata":"https://www.wikidata.org/wiki/Q5148596","display_name":"Color correction","level":3,"score":0.3483000099658966},{"id":"https://openalex.org/C173413354","wikidata":"https://www.wikidata.org/wiki/Q7049470","display_name":"Nonlinear distortion","level":4,"score":0.34200000762939453},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.3382999897003174},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.33649998903274536},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.3222000002861023},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.31299999356269836},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.28790000081062317},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.28760001063346863},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.28690001368522644},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.2720000147819519},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.2639000117778778},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.26350000500679016},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.26249998807907104}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2025.3631911","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2025.3631911","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.7960237264633179,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Underwater":[0],"imaging":[1],"is":[2,152],"crucial":[3],"to":[4,13,58,87,117],"marine":[5],"research,":[6],"yet":[7],"it":[8],"encounters":[9],"significant":[10],"challenges":[11],"due":[12],"wavelength-dependent":[14],"attenuation,":[15],"scattering":[16],"phenomena,":[17],"and":[18,31,72,94,114,138],"heterogeneous":[19],"illumination":[20],"conditions.":[21],"Traditional":[22],"enhancement":[23],"approaches":[24],"often":[25],"rely":[26],"extensively":[27],"on":[28,123],"domain-specific":[29],"priors,":[30],"convolutional":[32],"neural":[33],"networks":[34],"face":[35],"difficulties":[36],"in":[37,134],"global":[38],"contextual":[39],"modeling.":[40],"These":[41],"limitations":[42],"necessitate":[43],"the":[44,69,96],"development":[45],"of":[46],"innovative":[47],"architectural":[48,66],"paradigms.":[49],"We":[50],"introduce":[51],"AquaClarity,":[52],"a":[53,104,143],"Vision":[54],"Transformer-based":[55],"framework":[56],"designed":[57],"address":[59],"these":[60],"fundamental":[61],"constraints":[62],"through":[63],"two":[64],"principal":[65],"innovations:":[67],"(i)":[68],"Nonlinear":[70],"Feature":[71],"Spatial":[73],"Fusion":[74],"Transformer":[75],"(NFSFusion":[76],"Transformer),":[77],"which":[78,102],"integrates":[79],"nonlinear":[80],"feature":[81],"extraction":[82],"with":[83],"spatial":[84],"attention":[85],"mechanisms":[86],"effectively":[88],"capture":[89],"complex":[90],"underwater":[91,147],"scene":[92],"characteristics,":[93],"(ii)":[95],"Color":[97],"Fidelity":[98],"Enhancement":[99],"Block":[100],"(CFEB),":[101],"utilizes":[103],"principled":[105],"RGB":[106],"color":[107],"mapping":[108],"strategy":[109],"that":[110,128],"simultaneously":[111],"leverages":[112],"degraded":[113],"reconstructed":[115],"representations":[116],"maintain":[118],"chromatic":[119],"accuracy.":[120],"Extensive":[121],"evaluations":[122],"three":[124],"benchmark":[125],"datasets":[126],"demonstrate":[127],"AquaClarity":[129],"substantially":[130],"outperforms":[131],"state-of-the-art":[132],"methods":[133],"both":[135],"quantitative":[136],"metrics":[137],"perceptual":[139],"quality":[140],"assessments,":[141],"establishing":[142],"new":[144],"standard":[145],"for":[146],"image":[148],"enhancement.":[149],"The":[150],"code":[151],"available":[153],"at":[154],"https://github.com/CXH-Research/Aquaclarity.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-26T06:05:38.182114","created_date":"2025-11-12T00:00:00"}