{"id":"https://openalex.org/W4414404690","doi":"https://doi.org/10.1109/tmm.2025.3613104","title":"HUGS-Net: A Lightweight and Unified Network for Adverse Weather Image Denoising","display_name":"HUGS-Net: A Lightweight and Unified Network for Adverse Weather Image Denoising","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4414404690","doi":"https://doi.org/10.1109/tmm.2025.3613104"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2025.3613104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3613104","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/A5102992609","display_name":"Ting Zhang","orcid":"https://orcid.org/0009-0009-7170-253X"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Zhang","raw_affiliation_strings":["Fujian Key Lab for Intelligent Processing and Wireless Transmission of Media Information, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0009-0009-7170-253X","affiliations":[{"raw_affiliation_string":"Fujian Key Lab for Intelligent Processing and Wireless Transmission of Media Information, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Runjie Wang","orcid":"https://orcid.org/0009-0008-9326-2582"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runjie Wang","raw_affiliation_strings":["Fujian Key Lab for Intelligent Processing and Wireless Transmission of Media Information, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0009-0008-9326-2582","affiliations":[{"raw_affiliation_string":"Fujian Key Lab for Intelligent Processing and Wireless Transmission of Media Information, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066931530","display_name":"Yuzhen Niu","orcid":"https://orcid.org/0000-0002-9874-9719"},"institutions":[{"id":"https://openalex.org/I4210107712","display_name":"Fujian Business University","ror":"https://ror.org/01mc04w21","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210107712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuzhen Niu","raw_affiliation_strings":["Fujian Key Laboratory of Network Computing and Intelligent Information Processing, College of Computer and Data Science, Fuzhou University, Fujian, China"],"raw_orcid":"https://orcid.org/0000-0002-9874-9719","affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Network Computing and Intelligent Information Processing, College of Computer and Data Science, Fuzhou University, Fujian, China","institution_ids":["https://openalex.org/I4210107712"]}]},{"author_position":"middle","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 Data Science, Minjiang University, Fuzhou, China","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 Data Science, Minjiang University, Fuzhou, China","institution_ids":["https://openalex.org/I354108"]},{"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/A5057108758","display_name":"Tiesong Zhao","orcid":"https://orcid.org/0000-0002-7497-8883"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiesong Zhao","raw_affiliation_strings":["Fujian Key Lab for Intelligent Processing and Wireless Transmission of Media Information, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7497-8883","affiliations":[{"raw_affiliation_string":"Fujian Key Lab for Intelligent Processing and Wireless Transmission of Media Information, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"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":0.22203554,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"27","issue":null,"first_page":"9570","last_page":"9580"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9977999925613403,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9977999925613403,"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":0.9925000071525574,"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/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9695000052452087,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"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":0.5188000202178955},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.47780001163482666},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.43619999289512634},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4047999978065491},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.3684999942779541},{"id":"https://openalex.org/keywords/adverse-weather","display_name":"Adverse weather","score":0.3646000027656555},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.36239999532699585},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.35120001435279846},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3490999937057495}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8201000094413757},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5188000202178955},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48170000314712524},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.47780001163482666},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.43619999289512634},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4047999978065491},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37540000677108765},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.3684999942779541},{"id":"https://openalex.org/C2992147540","wikidata":"https://www.wikidata.org/wiki/Q1277161","display_name":"Adverse weather","level":2,"score":0.3646000027656555},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.36239999532699585},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.35120001435279846},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3490999937057495},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.32679998874664307},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3188000023365021},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.31779998540878296},{"id":"https://openalex.org/C126537357","wikidata":"https://www.wikidata.org/wiki/Q372948","display_name":"Hue","level":2,"score":0.3176000118255615},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3098999857902527},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.30090001225471497},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.2685999870300293},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.26809999346733093},{"id":"https://openalex.org/C21001229","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather forecasting","level":2,"score":0.26579999923706055},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.2644999921321869},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.2619999945163727},{"id":"https://openalex.org/C194980680","wikidata":"https://www.wikidata.org/wiki/Q245450","display_name":"Circular convolution","level":5,"score":0.2547000050544739},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.2542000114917755},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.2513999938964844},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2025.3613104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3613104","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/G2820804906","display_name":null,"funder_award_id":"62471142","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"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/G6035754131","display_name":null,"funder_award_id":"62171134","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W2114867966","https://openalex.org/W2128254161","https://openalex.org/W2740982616","https://openalex.org/W2748263833","https://openalex.org/W2798581339","https://openalex.org/W2930755307","https://openalex.org/W2962785568","https://openalex.org/W2963928582","https://openalex.org/W2964212750","https://openalex.org/W2976715267","https://openalex.org/W2985045886","https://openalex.org/W3002421716","https://openalex.org/W3034331889","https://openalex.org/W3035601380","https://openalex.org/W3035713416","https://openalex.org/W3103549414","https://openalex.org/W3170697543","https://openalex.org/W3194523157","https://openalex.org/W3199044200","https://openalex.org/W3201952986","https://openalex.org/W3215632849","https://openalex.org/W4224922575","https://openalex.org/W4225531230","https://openalex.org/W4225672218","https://openalex.org/W4226152953","https://openalex.org/W4283023197","https://openalex.org/W4311086236","https://openalex.org/W4312373367","https://openalex.org/W4312612915","https://openalex.org/W4312880823","https://openalex.org/W4319341518","https://openalex.org/W4319866558","https://openalex.org/W4327808545","https://openalex.org/W4361802848","https://openalex.org/W4362653529","https://openalex.org/W4386072291","https://openalex.org/W4386075800","https://openalex.org/W4386083159","https://openalex.org/W4387969666","https://openalex.org/W4390872931","https://openalex.org/W4390873662","https://openalex.org/W4391407087","https://openalex.org/W4406110715"],"related_works":[],"abstract_inverted_index":{"Image":[0],"denoising":[1],"under":[2],"adverse":[3,46,160],"weather":[4,47,161],"conditions":[5],"aims":[6],"to":[7,84,105,115,126],"eliminate":[8],"multiple":[9],"weather-related":[10],"noises":[11,117],"and":[12,15,41,81,146,173],"restore":[13],"bright":[14],"clear":[16],"images.":[17],"Until":[18],"now,":[19],"most":[20],"methods":[21],"are":[22],"task-specific":[23],"while":[24],"all-in-one":[25],"algorithms":[26],"often":[27],"require":[28],"a":[29,64,78,99,122,131],"large":[30],"number":[31],"of":[32,156],"parameters,":[33],"limiting":[34],"their":[35],"model":[36,106],"efficiency.":[37],"Our":[38],"theoretical":[39],"analysis":[40],"statistical":[42],"experiments":[43,152],"reveal":[44],"that":[45],"images":[48],"in":[49,135],"Hue":[50,89],"channel":[51,90],"contain":[52],"rich":[53],"contextual":[54],"information":[55,87,114],"for":[56],"further":[57,144],"processing.":[58],"With":[59,139],"this":[60],"observation,":[61],"we":[62,76,97,120],"propose":[63],"novel":[65],"lightweight":[66,100],"HUe-Guided":[67],"Synergistic":[68],"Network":[69],"(HUGS-Net)":[70],"with":[71,112,168],"multi-scale":[72,123],"detail":[73],"refinement.":[74],"First,":[75],"design":[77],"Fourier":[79],"interaction":[80],"evolution":[82],"module":[83,125],"capture":[85],"global":[86,113],"from":[88],"without":[91],"introducing":[92],"excessive":[93],"network":[94],"parameters.":[95],"Second,":[96],"develop":[98],"residue":[101],"group":[102],"convolution":[103],"block":[104],"local":[107],"texture":[108],"features,":[109],"incorporating":[110],"them":[111],"guide":[116],"removal.":[118],"Third,":[119],"introduce":[121],"fusion":[124],"enhance":[127],"high-frequency":[128],"details":[129],"at":[130],"small":[132],"feature":[133],"resolution":[134],"RGB":[136],"color":[137],"space.":[138],"the":[140,154,169],"above":[141],"design,":[142],"HUGS-Net":[143,157],"supervises":[145],"supplements":[147],"refined":[148],"background":[149],"information.":[150],"Comprehensive":[151],"showcase":[153],"superiority":[155],"across":[158],"various":[159],"datasets":[162],"(e.g.,":[163],"image":[164],"deraining,":[165],"desnowing,":[166],"dehazing)":[167],"least":[170],"parameter":[171],"size":[172],"fast":[174],"running":[175],"speed.The":[176],"source":[177],"code":[178],"will":[179],"be":[180],"made":[181],"public":[182],"after":[183],"peer":[184],"review":[185],"process.":[186]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
