{"id":"https://openalex.org/W7124160344","doi":"https://doi.org/10.3390/jimaging12010044","title":"A Deep Feature Fusion Underwater Image Enhancement Model Based on Perceptual Vision Swin Transformer","display_name":"A Deep Feature Fusion Underwater Image Enhancement Model Based on Perceptual Vision Swin Transformer","publication_year":2026,"publication_date":"2026-01-14","ids":{"openalex":"https://openalex.org/W7124160344","doi":"https://doi.org/10.3390/jimaging12010044","pmid":"https://pubmed.ncbi.nlm.nih.gov/41590929"},"language":"en","primary_location":{"id":"doi:10.3390/jimaging12010044","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging12010044","pdf_url":null,"source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/jimaging12010044","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110365618","display_name":"Shasha Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094798","display_name":"Rajamangala University of Technology Krungthep","ror":"https://ror.org/00wcxq223","country_code":"TH","type":"education","lineage":["https://openalex.org/I10245363","https://openalex.org/I4210094798"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Shasha Tian","raw_affiliation_strings":["Faculty of Engineering, Rajamangala University of Technology Krungthep, Bangkok 10120, Thailand"],"raw_orcid":"https://orcid.org/0009-0009-7611-6513","affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Rajamangala University of Technology Krungthep, Bangkok 10120, Thailand","institution_ids":["https://openalex.org/I4210094798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123039880","display_name":"Adisorn Sirikham","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094798","display_name":"Rajamangala University of Technology Krungthep","ror":"https://ror.org/00wcxq223","country_code":"TH","type":"education","lineage":["https://openalex.org/I10245363","https://openalex.org/I4210094798"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Adisorn Sirikham","raw_affiliation_strings":["Faculty of Engineering, Rajamangala University of Technology Krungthep, Bangkok 10120, Thailand"],"raw_orcid":"https://orcid.org/0009-0008-5537-7995","affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Rajamangala University of Technology Krungthep, Bangkok 10120, Thailand","institution_ids":["https://openalex.org/I4210094798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012333538","display_name":"Jessada Konpang","orcid":"https://orcid.org/0000-0002-7199-6402"},"institutions":[{"id":"https://openalex.org/I4210094798","display_name":"Rajamangala University of Technology Krungthep","ror":"https://ror.org/00wcxq223","country_code":"TH","type":"education","lineage":["https://openalex.org/I10245363","https://openalex.org/I4210094798"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Jessada Konpang","raw_affiliation_strings":["Faculty of Engineering, Rajamangala University of Technology Krungthep, Bangkok 10120, Thailand"],"raw_orcid":"https://orcid.org/0000-0002-7199-6402","affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Rajamangala University of Technology Krungthep, Bangkok 10120, Thailand","institution_ids":["https://openalex.org/I4210094798"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5122997205","display_name":"Chuyang Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chuyang Wang","raw_affiliation_strings":["School of Information Engineering, Jiangsu College of Finance and Accounting, Lianyungang 222061, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Jiangsu College of Finance and Accounting, Lianyungang 222061, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5110365618"],"corresponding_institution_ids":["https://openalex.org/I4210094798"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":21.2272,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.97460537,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"12","issue":"1","first_page":"44","last_page":"44"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9835000038146973,"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":0.9835000038146973,"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":0.00559999980032444,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.005100000184029341,"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":0.8039000034332275},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5468000173568726},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4374000132083893},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.41260001063346863},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.38370001316070557},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.38119998574256897},{"id":"https://openalex.org/keywords/chromatic-scale","display_name":"Chromatic scale","score":0.37279999256134033},{"id":"https://openalex.org/keywords/image-enhancement","display_name":"Image enhancement","score":0.37139999866485596}],"concepts":[{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.8039000034332275},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7524999976158142},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7401999831199646},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6098999977111816},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5468000173568726},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4374000132083893},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.41260001063346863},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.38370001316070557},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.38119998574256897},{"id":"https://openalex.org/C196956537","wikidata":"https://www.wikidata.org/wiki/Q202021","display_name":"Chromatic scale","level":2,"score":0.37279999256134033},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.37139999866485596},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3707999885082245},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.34950000047683716},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.32339999079704285},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.3098999857902527},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.30959999561309814},{"id":"https://openalex.org/C2779495555","wikidata":"https://www.wikidata.org/wiki/Q5148596","display_name":"Color correction","level":3,"score":0.2978000044822693},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.29739999771118164},{"id":"https://openalex.org/C187888035","wikidata":"https://www.wikidata.org/wiki/Q2563885","display_name":"Color constancy","level":3,"score":0.2696000039577484},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.263700008392334},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.25699999928474426}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/jimaging12010044","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging12010044","pdf_url":null,"source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},{"id":"pmid:41590929","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41590929","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":"Journal of imaging","raw_type":null},{"id":"pmh:oai:doaj.org/article:f91d64c17d194517a02cdee9dd70a8af","is_oa":true,"landing_page_url":"https://doaj.org/article/f91d64c17d194517a02cdee9dd70a8af","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Imaging, Vol 12, Iss 1, p 44 (2026)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:12842990","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12842990/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Imaging","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/jimaging12010044","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging12010044","pdf_url":null,"source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.8397358059883118}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1119591675","https://openalex.org/W2026039230","https://openalex.org/W2055447163","https://openalex.org/W2069734445","https://openalex.org/W2082968119","https://openalex.org/W2133665775","https://openalex.org/W2145885328","https://openalex.org/W2181646778","https://openalex.org/W2474516010","https://openalex.org/W2523532944","https://openalex.org/W2587107113","https://openalex.org/W2607041014","https://openalex.org/W2798898057","https://openalex.org/W2948400274","https://openalex.org/W2963513437","https://openalex.org/W2964088115","https://openalex.org/W2971483169","https://openalex.org/W3006777311","https://openalex.org/W3096831136","https://openalex.org/W3106182615","https://openalex.org/W3109264373","https://openalex.org/W3121661546","https://openalex.org/W3138516171","https://openalex.org/W4282914989","https://openalex.org/W4289517144","https://openalex.org/W4294982738","https://openalex.org/W4310379933","https://openalex.org/W4313134080","https://openalex.org/W4313156423","https://openalex.org/W4317490070","https://openalex.org/W4361223397","https://openalex.org/W4385248757","https://openalex.org/W4388571559","https://openalex.org/W4388943906","https://openalex.org/W4390669164","https://openalex.org/W4391345063","https://openalex.org/W4391669334","https://openalex.org/W4392399455","https://openalex.org/W4400913424","https://openalex.org/W4404092965","https://openalex.org/W4404840066","https://openalex.org/W4405787719","https://openalex.org/W4408622299","https://openalex.org/W4409606853","https://openalex.org/W4410608591"],"related_works":[],"abstract_inverted_index":{"Underwater":[0],"optical":[1],"images":[2],"are":[3],"the":[4,73,133,143],"primary":[5],"carriers":[6],"of":[7,42,118,151],"underwater":[8,19,32,53],"scene":[9],"information,":[10],"playing":[11],"a":[12,51,116],"crucial":[13],"role":[14],"in":[15,72,129,138],"marine":[16],"resource":[17],"exploration,":[18],"environmental":[20],"monitoring,":[21],"and":[22,28,40,64,91,108,111,121,131,136,140,145,161,172,177],"engineering":[23],"inspection.":[24],"However,":[25],"wavelength-dependent":[26],"absorption":[27],"scattering":[29],"severely":[30,97],"deteriorate":[31],"images,":[33],"leading":[34],"to":[35,94,183],"reduced":[36,167],"contrast,":[37,171],"chromatic":[38],"distortions,":[39],"loss":[41],"structural":[43],"details.":[44,174],"To":[45],"address":[46],"these":[47],"issues,":[48],"we":[49],"propose":[50],"U-shaped":[52],"image":[54],"enhancement":[55],"framework":[56],"that":[57],"integrates":[58],"Swin-Transformer":[59],"blocks":[60],"with":[61,115,148],"lightweight":[62],"attention":[63],"residual":[65],"modules.":[66],"A":[67,83,100],"Dual-Window":[68],"Multi-Head":[69],"Self-Attention":[70],"(DWMSA)":[71],"bottleneck":[74],"models":[75],"long-range":[76],"context":[77],"while":[78],"preserving":[79],"fine":[80],"local":[81],"structure.":[82],"Global-Aware":[84],"Attention":[85],"Map":[86],"(GAMP)":[87],"adaptively":[88],"re-weights":[89],"channels":[90],"spatial":[92],"locations":[93],"focus":[95],"on":[96,142],"degraded":[98],"regions.":[99],"Feature-Augmentation":[101],"Residual":[102],"Network":[103],"(FARN)":[104],"stabilizes":[105],"deep":[106],"training":[107],"emphasizes":[109],"texture":[110],"color":[112,168],"fidelity.":[113],"Trained":[114],"combination":[117],"Charbonnier,":[119],"perceptual,":[120],"edge":[122],"losses,":[123],"our":[124],"method":[125],"achieves":[126],"state-of-the-art":[127],"results":[128,165],"PSNR":[130,152],"SSIM,":[132],"lowest":[134],"LPIPS,":[135],"improvements":[137],"UIQM":[139,159],"UCIQE":[141,162],"UFO-120":[144],"EUVP":[146],"datasets,":[147],"average":[149],"metrics":[150],"29.5":[153],"dB,":[154],"SSIM":[155],"0.94,":[156],"LPIPS":[157],"0.17,":[158],"3.62,":[160],"0.59.":[163],"Qualitative":[164],"show":[166],"cast,":[169],"restored":[170],"sharper":[173],"Code,":[175],"weights,":[176],"evaluation":[178],"scripts":[179],"will":[180],"be":[181],"released":[182],"support":[184],"reproducibility.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-28T09:10:13.091523","created_date":"2026-01-15T00:00:00"}
