{"id":"https://openalex.org/W4416965998","doi":"https://doi.org/10.1109/tmm.2025.3639953","title":"MCSF-Net: A Multi-Color Space Fusion Network for Underwater Image Enhancement","display_name":"MCSF-Net: A Multi-Color Space Fusion Network for Underwater Image Enhancement","publication_year":2025,"publication_date":"2025-12-03","ids":{"openalex":"https://openalex.org/W4416965998","doi":"https://doi.org/10.1109/tmm.2025.3639953"},"language":null,"primary_location":{"id":"doi:10.1109/tmm.2025.3639953","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3639953","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/A5102598281","display_name":"Yijian Wang","orcid":"https://orcid.org/0009-0006-5444-1946"},"institutions":[{"id":"https://openalex.org/I354108","display_name":"Minjiang University","ror":"https://ror.org/00s7tkw17","country_code":"CN","type":"education","lineage":["https://openalex.org/I354108"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijian Wang","raw_affiliation_strings":["Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, School of Computer and Big Data, Minjiang University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0009-0006-5444-1946","affiliations":[{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, School of Computer and Big Data, Minjiang University, Fuzhou, China","institution_ids":["https://openalex.org/I354108"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082780960","display_name":"Peixian Zhuang","orcid":"https://orcid.org/0000-0002-7143-9569"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peixian Zhuang","raw_affiliation_strings":["Key Laboratory of Knowledge Automation for Industrial Processes, Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China","Key Laboratory of Knowledge Automation for Industrial Processes, Ministry of Education, the School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7143-9569","affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Automation for Industrial Processes, Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"Key Laboratory of Knowledge Automation for Industrial Processes, Ministry of Education, the School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002531550","display_name":"Zhenqi Fu","orcid":"https://orcid.org/0000-0003-2950-7190"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenqi Fu","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2950-7190","affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034852420","display_name":"Jiaquan Yan","orcid":"https://orcid.org/0000-0001-7321-9829"},"institutions":[{"id":"https://openalex.org/I354108","display_name":"Minjiang University","ror":"https://ror.org/00s7tkw17","country_code":"CN","type":"education","lineage":["https://openalex.org/I354108"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaquan Yan","raw_affiliation_strings":["Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, School of Computer and Big Data, Minjiang University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7321-9829","affiliations":[{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, School of Computer and Big Data, Minjiang University, Fuzhou, China","institution_ids":["https://openalex.org/I354108"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091320821","display_name":"Zuoyong Li","orcid":"https://orcid.org/0000-0003-0952-9915"},"institutions":[{"id":"https://openalex.org/I354108","display_name":"Minjiang University","ror":"https://ror.org/00s7tkw17","country_code":"CN","type":"education","lineage":["https://openalex.org/I354108"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zuoyong Li","raw_affiliation_strings":["Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, School of Computer and Big Data, Minjiang University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0952-9915","affiliations":[{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, School of Computer and Big Data, Minjiang University, Fuzhou, China","institution_ids":["https://openalex.org/I354108"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5295,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.70089418,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"28","issue":null,"first_page":"1534","last_page":"1548"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9843999743461609,"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":0.9843999743461609,"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":0.005200000014156103,"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":0.00430000014603138,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6269999742507935},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5572999715805054},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.544700026512146},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5152999758720398},{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.5149000287055969},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.5037000179290771},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.4544000029563904},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4162999987602234},{"id":"https://openalex.org/keywords/rgb-color-space","display_name":"RGB color space","score":0.41510000824928284},{"id":"https://openalex.org/keywords/image-enhancement","display_name":"Image enhancement","score":0.398499995470047}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7904000282287598},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6883000135421753},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6425999999046326},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6269999742507935},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5572999715805054},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.544700026512146},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5152999758720398},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.5149000287055969},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.5037000179290771},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.4544000029563904},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4162999987602234},{"id":"https://openalex.org/C84216515","wikidata":"https://www.wikidata.org/wiki/Q375677","display_name":"RGB color space","level":5,"score":0.41510000824928284},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.398499995470047},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.37860000133514404},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.37700000405311584},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3682999908924103},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3440000116825104},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.33880001306533813},{"id":"https://openalex.org/C173285193","wikidata":"https://www.wikidata.org/wiki/Q519022","display_name":"False color","level":5,"score":0.3264999985694885},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3255000114440918},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3176000118255615},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.3068999946117401},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.30559998750686646},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3041999936103821},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.3019999861717224},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.30000001192092896},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2969000041484833},{"id":"https://openalex.org/C2779495555","wikidata":"https://www.wikidata.org/wiki/Q5148596","display_name":"Color correction","level":3,"score":0.29660001397132874},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.2567000091075897},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.2563000023365021}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2025.3639953","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3639953","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":[],"awards":[{"id":"https://openalex.org/G4514755209","display_name":null,"funder_award_id":"62171252","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5101655069","display_name":null,"funder_award_id":"2024J02029","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G5675064630","display_name":null,"funder_award_id":"62471207","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7211531681","display_name":null,"funder_award_id":"00007764","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1552073401","https://openalex.org/W1982471090","https://openalex.org/W2064076387","https://openalex.org/W2083610878","https://openalex.org/W2145023731","https://openalex.org/W2146795245","https://openalex.org/W2151103935","https://openalex.org/W2181646778","https://openalex.org/W2430408220","https://openalex.org/W2467473805","https://openalex.org/W2474516010","https://openalex.org/W2596058005","https://openalex.org/W2771986438","https://openalex.org/W2791710889","https://openalex.org/W2905621769","https://openalex.org/W2949676527","https://openalex.org/W2961348656","https://openalex.org/W2964088115","https://openalex.org/W2971483169","https://openalex.org/W2977375802","https://openalex.org/W2990176100","https://openalex.org/W2997763120","https://openalex.org/W3006777311","https://openalex.org/W3020334921","https://openalex.org/W3038967119","https://openalex.org/W3040189317","https://openalex.org/W3094046575","https://openalex.org/W3134649899","https://openalex.org/W3135971978","https://openalex.org/W3153781409","https://openalex.org/W3156187408","https://openalex.org/W3157502174","https://openalex.org/W3199334903","https://openalex.org/W3204251553","https://openalex.org/W3205291758","https://openalex.org/W4280531468","https://openalex.org/W4282914989","https://openalex.org/W4283781662","https://openalex.org/W4285102172","https://openalex.org/W4285228564","https://openalex.org/W4285821234","https://openalex.org/W4294871818","https://openalex.org/W4312617404","https://openalex.org/W4312926817","https://openalex.org/W4319996482","https://openalex.org/W4323644226","https://openalex.org/W4327808545","https://openalex.org/W4377079715","https://openalex.org/W4382365354","https://openalex.org/W4383752898","https://openalex.org/W4385222086","https://openalex.org/W4385299561","https://openalex.org/W4385819731","https://openalex.org/W4386083159","https://openalex.org/W4386272912","https://openalex.org/W4388192825","https://openalex.org/W4388692378","https://openalex.org/W4389580365","https://openalex.org/W4391520444","https://openalex.org/W4392399455","https://openalex.org/W4392694051","https://openalex.org/W4393147889"],"related_works":[],"abstract_inverted_index":{"Existing":[0],"multi-color":[1],"space":[2,19],"guided":[3],"techniques":[4],"for":[5,20,63,150],"underwater":[6,22,144],"image":[7,23],"enhancement":[8,43,141],"(UIE)":[9],"fail":[10],"to":[11,41,79,105],"take":[12],"the":[13,16,128],"advantages":[14],"of":[15,34,142],"XYZ":[17,86],"color":[18,89,137],"preserving":[21],"details,":[24],"meanwhile,":[25],"existing":[26],"UIE":[27,97,114],"datasets,":[28,115],"typically":[29],"containing":[30],"low-quality":[31,46,108],"reference":[32,109],"images":[33,110],"distorted":[35],"colors":[36],"and":[37,47,74,87,139,148],"blurred":[38],"structures,":[39],"lead":[40],"inaccurate":[42],"mapping":[44],"between":[45],"high-quality":[48],"images.":[49,145],"To":[50],"overcome":[51],"these":[52],"above":[53],"limitations,":[54],"we":[55,92],"propose":[56],"a":[57,68,94],"Multi-Color":[58],"Space":[59],"Fusion":[60,71],"Network":[61],"(MCSF-Net)":[62],"UIE.":[64],"The":[65,146],"MCSF-Net":[66,151],"incorporates":[67],"Multi-dimensional":[69],"Feature":[70],"Block":[72],"(MFFB)":[73],"weighted":[75],"feature":[76],"fusion":[77],"scheme":[78],"effectively":[80],"integrate":[81],"complementary":[82],"features":[83],"from":[84,111],"both":[85,136],"RGB":[88],"spaces.":[90],"Moreover,":[91],"establish":[93],"Large-Scale":[95],"Mixed":[96],"dataset":[98,149],"(LSMU)":[99],"by":[100],"using":[101],"nine":[102],"no-reference":[103],"metrics":[104],"filter":[106],"out":[107],"eight":[112],"public":[113],"enabling":[116],"more":[117],"effective":[118],"network":[119],"learning.":[120],"Extensive":[121],"experiments":[122],"on":[123],"mainstream":[124],"datasets":[125],"demonstrate":[126],"that":[127],"proposed":[129],"method":[130],"outperforms":[131],"several":[132],"leading":[133],"approaches":[134],"in":[135],"restoration":[138],"detail":[140],"various":[143],"code":[147],"will":[152],"be":[153],"available":[154],"athttps://github.com/WYJGR/MCSF-Net.":[155]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-12-03T00:00:00"}
