{"id":"https://openalex.org/W7105610889","doi":"https://doi.org/10.1109/tmm.2025.3632669","title":"HDMDN: Hierarchical-Decoupling Based Meta-Knowledge Single Image Dehazing Network","display_name":"HDMDN: Hierarchical-Decoupling Based Meta-Knowledge Single Image Dehazing Network","publication_year":2025,"publication_date":"2025-11-13","ids":{"openalex":"https://openalex.org/W7105610889","doi":"https://doi.org/10.1109/tmm.2025.3632669"},"language":null,"primary_location":{"id":"doi:10.1109/tmm.2025.3632669","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3632669","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":null,"display_name":"Tongyao Jia","orcid":"https://orcid.org/0000-0003-2370-7247"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tongyao Jia","raw_affiliation_strings":["Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jiafeng Li","orcid":"https://orcid.org/0000-0001-6976-7275"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiafeng Li","raw_affiliation_strings":["Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Li Zhuo","orcid":"https://orcid.org/0000-0002-9937-2669"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Zhuo","raw_affiliation_strings":["Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jing Zhang","orcid":"https://orcid.org/0000-0003-1290-0738"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Zhang","raw_affiliation_strings":["Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":null,"display_name":"Tianjian Yu","orcid":"https://orcid.org/0000-0002-2024-8826"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianjian Yu","raw_affiliation_strings":["School of Traffic and Transportation Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Traffic and Transportation Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.60672812,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":null,"first_page":"1226","last_page":"1240"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9850999712944031,"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":0.9850999712944031,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.0066999997943639755,"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":0.0019000000320374966,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.49000000953674316},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.43939998745918274},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.4359999895095825},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3824999928474426},{"id":"https://openalex.org/keywords/haze","display_name":"Haze","score":0.3774000108242035},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.3686999976634979},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.34540000557899475},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3407999873161316}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9002000093460083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6743000149726868},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.49000000953674316},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.43939998745918274},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.4359999895095825},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43380001187324524},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3824999928474426},{"id":"https://openalex.org/C79974267","wikidata":"https://www.wikidata.org/wiki/Q643546","display_name":"Haze","level":2,"score":0.3774000108242035},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3686999976634979},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.34540000557899475},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3407999873161316},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3384000062942505},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.321399986743927},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3140999972820282},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.30820000171661377},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.3043000102043152},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.2856000065803528},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2815999984741211},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.2587999999523163},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.2538999915122986}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2025.3632669","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3632669","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":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W2083610878","https://openalex.org/W2102166818","https://openalex.org/W2109616376","https://openalex.org/W2128254161","https://openalex.org/W2156936307","https://openalex.org/W2256362396","https://openalex.org/W2467473805","https://openalex.org/W2565639579","https://openalex.org/W2779176852","https://openalex.org/W2948606054","https://openalex.org/W2948892662","https://openalex.org/W2955731188","https://openalex.org/W2962754725","https://openalex.org/W2962782447","https://openalex.org/W2962785568","https://openalex.org/W2963306157","https://openalex.org/W2963667985","https://openalex.org/W2963928582","https://openalex.org/W2988209803","https://openalex.org/W2989362930","https://openalex.org/W2990007814","https://openalex.org/W2998249728","https://openalex.org/W3021850033","https://openalex.org/W3022662467","https://openalex.org/W3034278302","https://openalex.org/W3034331889","https://openalex.org/W3034359211","https://openalex.org/W3066471605","https://openalex.org/W3097237744","https://openalex.org/W3124953441","https://openalex.org/W3131497608","https://openalex.org/W3133769291","https://openalex.org/W3173269149","https://openalex.org/W3177235959","https://openalex.org/W3177415989","https://openalex.org/W3180034634","https://openalex.org/W3206886340","https://openalex.org/W3208626099","https://openalex.org/W4205261430","https://openalex.org/W4226078259","https://openalex.org/W4226290276","https://openalex.org/W4312575870","https://openalex.org/W4312617404","https://openalex.org/W4312625691","https://openalex.org/W4312678820","https://openalex.org/W4312791693","https://openalex.org/W4312804183","https://openalex.org/W4312823897","https://openalex.org/W4313005250","https://openalex.org/W4313007769","https://openalex.org/W4313150997","https://openalex.org/W4317935142","https://openalex.org/W4327808545","https://openalex.org/W4378804917","https://openalex.org/W4385486363","https://openalex.org/W4386075820","https://openalex.org/W4386076209","https://openalex.org/W4386083159","https://openalex.org/W4387885949","https://openalex.org/W4388189239","https://openalex.org/W4390872931","https://openalex.org/W4391697048","https://openalex.org/W4393153879","https://openalex.org/W4393241304","https://openalex.org/W4399665721","https://openalex.org/W4402704549","https://openalex.org/W4402816933"],"related_works":[],"abstract_inverted_index":{"Images":[0],"suffer":[1],"from":[2,81,191],"color":[3],"shift":[4],"and":[5,13,39,68,99,115,150,184,194,209,220],"detail":[6],"distortion":[7],"owing":[8],"to":[9,111,131,158,176],"limitations":[10],"of":[11,25,63,92,118,135,148,181,188,201],"contrast":[12],"visibility":[14],"in":[15,43,86,107],"hazy":[16,30,136,196],"scenes,":[17],"affecting":[18],"their":[19],"subjective":[20],"perception.":[21],"However,":[22],"the":[23,61,89,93,108,133,140,145,151,160,166,178,182,199,202,214],"performance":[24,180],"existing":[26],"algorithms":[27],"on":[28,57,165,206],"real-world":[29,195],"images":[31,137,149,190],"remains":[32],"limited":[33],"as":[34],"scenes":[35],"can":[36],"be":[37],"complex":[38],"haze":[40,219],"degradation":[41],"varies":[42],"outdoor":[44],"visual":[45],"systems.":[46],"This":[47],"study":[48],"proposes":[49],"a":[50,72,97,125,172],"meta-knowledge":[51],"single":[52],"image":[53],"dehazing":[54],"algorithm":[55,216],"based":[56],"hierarchical":[58,90],"decoupling,":[59],"combining":[60],"advantages":[62],"convolutional":[64],"neural":[65],"networks":[66],"(CNNs)":[67],"transformers.":[69],"We":[70],"propose":[71],"novel":[73],"dual-branch":[74],"decoupling":[75,179],"network":[76,104,110],"that":[77,213],"decouples":[78],"low-level":[79,146],"features":[80,117,147,155],"high":[82],"level":[83],"semantic":[84,123,142,154],"information":[85],"images,":[87,162],"leveraging":[88],"properties":[91],"network.":[94],"It":[95],"combines":[96],"CNN":[98],"cross":[100],"dual":[101],"branch":[102],"transformer":[103],"(CDual":[105],"transformer)":[106],"encoder":[109],"fully":[112,163],"extract":[113],"local":[114],"global":[116],"images.":[119],"To":[120],"disentangle":[121],"high-level":[122,153],"features,":[124],"style":[126,134,186],"transfer":[127],"module":[128],"is":[129,230],"designed":[130],"transform":[132],"while":[138],"retaining":[139],"remaining":[141],"information.":[143],"Afterward,":[144],"transformed":[152],"are":[156],"used":[157],"reconstruct":[159],"dehazed":[161],"capitalizing":[164],"multilevel":[167],"features.":[168],"Furthermore,":[169],"we":[170],"built":[171],"meta-semi-supervised":[173],"training":[174],"strategy":[175],"improve":[177],"model":[183],"accumulated":[185],"knowledge":[187],"clear":[189],"both":[192,207],"synthetic":[193,208],"data,":[197],"improving":[198],"generalizability":[200],"model.":[203],"Extensive":[204],"experiments":[205],"real":[210],"datasets":[211],"show":[212],"proposed":[215],"effectively":[217],"removes":[218],"offers":[221],"better":[222],"generalization":[223],"abilities":[224],"than":[225],"similar":[226],"methods.":[227],"The":[228],"project":[229],"publicly":[231],"available":[232],"at":[233],"https://github.com/BJUTsipl/HDMDN.":[234]},"counts_by_year":[],"updated_date":"2026-03-09T07:00:12.390032","created_date":"2025-11-13T00:00:00"}