{"id":"https://openalex.org/W7128992733","doi":"https://doi.org/10.1109/tmm.2026.3664995","title":"MSG-Net: Structure-Guided Enhancement for Underwater Images Based on Multi-View Feature Interaction","display_name":"MSG-Net: Structure-Guided Enhancement for Underwater Images Based on Multi-View Feature Interaction","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7128992733","doi":"https://doi.org/10.1109/tmm.2026.3664995"},"language":null,"primary_location":{"id":"doi:10.1109/tmm.2026.3664995","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2026.3664995","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5057917186","display_name":"Jie Xu","orcid":"https://orcid.org/0000-0001-7682-4776"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Xu","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115425497","display_name":"Junyu Fan","orcid":"https://orcid.org/0009-0009-9848-4261"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyu Fan","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0009-9848-4261","affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006211615","display_name":"Jingjing Gao","orcid":"https://orcid.org/0000-0002-0791-4951"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinliang Gao","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0005-3584-6799","affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041513157","display_name":"Chuanlin Liao","orcid":"https://orcid.org/0000-0002-2375-0686"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanlin Liao","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015453961","display_name":"Lin Yi","orcid":"https://orcid.org/0000-0002-2110-5368"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Lin","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-7194-5023","affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15234575,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":null,"first_page":"5273","last_page":"5287"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.989799976348877,"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":0.989799976348877,"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":0.004999999888241291,"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":0.0017999999690800905,"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/fuse","display_name":"Fuse (electrical)","score":0.7217000126838684},{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.676800012588501},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.580299973487854},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4756999909877777},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41609999537467957},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.3937999904155731},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3785000145435333},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3497999906539917}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8133000135421753},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.7217000126838684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7099000215530396},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.676800012588501},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6183000206947327},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.580299973487854},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4756999909877777},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41609999537467957},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.3937999904155731},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3785000145435333},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3497999906539917},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.3465000092983246},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3212999999523163},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.30979999899864197},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.28540000319480896},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.2851000130176544},{"id":"https://openalex.org/C15627037","wikidata":"https://www.wikidata.org/wiki/Q541961","display_name":"Classification of discontinuities","level":2,"score":0.2799000144004822},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.2705000042915344},{"id":"https://openalex.org/C30387639","wikidata":"https://www.wikidata.org/wiki/Q4680744","display_name":"Adaptive histogram equalization","level":5,"score":0.2671999931335449},{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.2565999925136566},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.25029999017715454},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2026.3664995","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2026.3664995","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.6747209429740906}],"awards":[{"id":"https://openalex.org/G1370497161","display_name":null,"funder_award_id":"62371323","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5325585407","display_name":null,"funder_award_id":"U2433217","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6307433967","display_name":null,"funder_award_id":"U2333209","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":49,"referenced_works":["https://openalex.org/W2009071067","https://openalex.org/W2016628928","https://openalex.org/W2069734445","https://openalex.org/W2081140338","https://openalex.org/W2082968119","https://openalex.org/W2145023731","https://openalex.org/W2145885328","https://openalex.org/W2162456646","https://openalex.org/W2523532944","https://openalex.org/W2587107113","https://openalex.org/W2591930867","https://openalex.org/W2789236895","https://openalex.org/W2792328492","https://openalex.org/W2966501856","https://openalex.org/W2971483169","https://openalex.org/W2990176100","https://openalex.org/W2997763120","https://openalex.org/W2999811308","https://openalex.org/W3006777311","https://openalex.org/W3009406242","https://openalex.org/W3034403122","https://openalex.org/W3097065222","https://openalex.org/W3106758205","https://openalex.org/W3157502174","https://openalex.org/W3214192941","https://openalex.org/W4225672218","https://openalex.org/W4282914989","https://openalex.org/W4285025661","https://openalex.org/W4285234777","https://openalex.org/W4292977151","https://openalex.org/W4312812783","https://openalex.org/W4317543108","https://openalex.org/W4321033361","https://openalex.org/W4367598041","https://openalex.org/W4377079715","https://openalex.org/W4382240242","https://openalex.org/W4386066507","https://openalex.org/W4387696030","https://openalex.org/W4388562489","https://openalex.org/W4390005240","https://openalex.org/W4390872514","https://openalex.org/W4391520444","https://openalex.org/W4392399455","https://openalex.org/W4392909761","https://openalex.org/W4394593017","https://openalex.org/W4394744367","https://openalex.org/W4399601100","https://openalex.org/W4401070625","https://openalex.org/W4404056751"],"related_works":[],"abstract_inverted_index":{"Underwater":[0],"images":[1,52],"often":[2],"suffer":[3],"from":[4],"blurring,":[5],"low":[6],"contrast,":[7],"and":[8,30,45,56,68,81,167],"color":[9],"distortion.":[10],"Although":[11],"current":[12],"multi-view":[13,92,115],"methods":[14,20,38,183],"show":[15],"better":[16],"potential":[17],"than":[18],"single-input":[19],"in":[21,51,146],"mitigating":[22],"these":[23,61,114],"degradations,":[24],"they":[25],"still":[26],"struggle":[27,39],"to":[28,40,72,90,111,130,156],"fuse":[29,113],"extract":[31,131],"features":[32,116,133],"across":[33,184],"views.":[34],"Moreover,":[35,187],"most":[36],"existing":[37],"capture":[41],"fine":[42],"texture":[43,165],"details":[44,166],"preserve":[46],"key":[47,169],"structural":[48,158],"information,":[49],"resulting":[50],"with":[53],"insufficient":[54],"detail":[55],"unclear":[57],"structures.":[58,170],"To":[59],"address":[60],"issues,":[62],"we":[63],"propose":[64],"a":[65,118,123,150],"Multi-View":[66],"Input":[67],"Structure-Guided":[69,151],"Network,":[70],"MSG-Net,":[71],"achieve":[73],"underwater":[74,100,180],"image":[75,181],"enhancement.":[76],"Specifically,":[77],"White":[78],"Balance":[79],"(WB)":[80],"Contrast":[82],"Limited":[83],"Adaptive":[84],"Histogram":[85],"Equalization":[86],"(CLAHE)":[87],"are":[88],"employed":[89],"construct":[91],"input,":[93],"enabling":[94],"more":[95],"effective":[96],"handling":[97],"of":[98],"diverse":[99],"degradation":[101],"factors.":[102],"A":[103],"Cross-Channel":[104],"Attention":[105],"Fusion":[106],"(CCAF)":[107],"module":[108],"is":[109,128,154],"designed":[110],"effectively":[112],"via":[117],"channel-wise":[119],"attention":[120],"mechanism.":[121],"Additionally,":[122],"Channel-Group":[124],"Axial":[125],"Transformer":[126,152],"(CGAT)":[127],"introduced":[129],"axial":[132],"within":[134],"channel":[135],"groups,":[136],"enhancing":[137],"cross-channel":[138],"interactions":[139],"while":[140],"alleviating":[141],"the":[142,161],"patch":[143],"boundary":[144],"discontinuities":[145],"Transformer-based":[147],"methods.":[148],"Furthermore,":[149],"(SGT)":[153],"proposed":[155],"incorporate":[157],"information":[159],"into":[160],"enhancement":[162,182,194],"process,":[163],"enriching":[164],"highlighting":[168],"Extensive":[171],"experiments":[172],"demonstrate":[173],"that":[174],"MSG-Net":[175,188],"outperforms":[176],"or":[177],"matches":[178],"state-of-the-art":[179],"various":[185],"benchmarks.":[186],"exhibits":[189],"outstanding":[190],"performance":[191],"on":[192],"other":[193],"tasks.":[195]},"counts_by_year":[],"updated_date":"2026-07-04T06:09:54.619538","created_date":"2026-02-17T00:00:00"}
