{"id":"https://openalex.org/W7126174084","doi":"https://doi.org/10.1007/s00138-026-01788-y","title":"Diffusion-leveraged GAN dehazing driven by classification: a two-stage framework for real-world monitoring imagery","display_name":"Diffusion-leveraged GAN dehazing driven by classification: a two-stage framework for real-world monitoring imagery","publication_year":2026,"publication_date":"2026-01-30","ids":{"openalex":"https://openalex.org/W7126174084","doi":"https://doi.org/10.1007/s00138-026-01788-y"},"language":"en","primary_location":{"id":"doi:10.1007/s00138-026-01788-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00138-026-01788-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00138-026-01788-y.pdf","source":{"id":"https://openalex.org/S27728525","display_name":"Machine Vision and Applications","issn_l":"0932-8092","issn":["0932-8092","1432-1769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Vision and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s00138-026-01788-y.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088343495","display_name":"Moheb M. R. Henein","orcid":"https://orcid.org/0009-0003-8367-1212"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Moheb M. R. Henein","raw_affiliation_strings":["Department of Civil, Environmental, and Ocean Engineering, Stevens Institute of Technology, Castle Point Terrace, Hoboken, NJ, 07030, USA"],"raw_orcid":"https://orcid.org/0009-0003-8367-1212","affiliations":[{"raw_affiliation_string":"Department of Civil, Environmental, and Ocean Engineering, Stevens Institute of Technology, Castle Point Terrace, Hoboken, NJ, 07030, USA","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008626224","display_name":"Mahmoud Ayyad","orcid":"https://orcid.org/0000-0001-5800-9313"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mahmoud Ayyad","raw_affiliation_strings":["Department of Civil, Environmental, and Ocean Engineering, Stevens Institute of Technology, Castle Point Terrace, Hoboken, NJ, 07030, USA"],"raw_orcid":"https://orcid.org/0000-0001-5800-9313","affiliations":[{"raw_affiliation_string":"Department of Civil, Environmental, and Ocean Engineering, Stevens Institute of Technology, Castle Point Terrace, Hoboken, NJ, 07030, USA","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040751149","display_name":"Kaijian Liu","orcid":"https://orcid.org/0000-0003-2679-7006"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kaijian Liu","raw_affiliation_strings":["Department of Civil, Environmental, and Ocean Engineering, Stevens Institute of Technology, Castle Point Terrace, Hoboken, NJ, 07030, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil, Environmental, and Ocean Engineering, Stevens Institute of Technology, Castle Point Terrace, Hoboken, NJ, 07030, USA","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071761664","display_name":"Marouane Temimi","orcid":"https://orcid.org/0000-0003-0006-2685"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Marouane Temimi","raw_affiliation_strings":["Department of Civil, Environmental, and Ocean Engineering, Stevens Institute of Technology, Castle Point Terrace, Hoboken, NJ, 07030, USA"],"raw_orcid":"https://orcid.org/0000-0003-0006-2685","affiliations":[{"raw_affiliation_string":"Department of Civil, Environmental, and Ocean Engineering, Stevens Institute of Technology, Castle Point Terrace, Hoboken, NJ, 07030, USA","institution_ids":["https://openalex.org/I108468826"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5071761664"],"corresponding_institution_ids":["https://openalex.org/I108468826"],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090},"apc_paid":{"value":2490,"currency":"EUR","value_usd":3090},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13774709,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"37","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.5339000225067139,"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":0.5339000225067139,"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/T10930","display_name":"Flood Risk Assessment and Management","score":0.10750000178813934,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.026900000870227814,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6905999779701233},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.6651999950408936},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4065999984741211},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.3946000039577484},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37369999289512634},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3603000044822693}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8036999702453613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6949999928474426},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6905999779701233},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.6651999950408936},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5418999791145325},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4065999984741211},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.3946000039577484},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37369999289512634},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3603000044822693},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2847000062465668},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2825999855995178},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.2797999978065491},{"id":"https://openalex.org/C2779757391","wikidata":"https://www.wikidata.org/wiki/Q6002292","display_name":"Image translation","level":3,"score":0.2775000035762787}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00138-026-01788-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00138-026-01788-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00138-026-01788-y.pdf","source":{"id":"https://openalex.org/S27728525","display_name":"Machine Vision and Applications","issn_l":"0932-8092","issn":["0932-8092","1432-1769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Vision and Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s00138-026-01788-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00138-026-01788-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00138-026-01788-y.pdf","source":{"id":"https://openalex.org/S27728525","display_name":"Machine Vision and Applications","issn_l":"0932-8092","issn":["0932-8092","1432-1769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Vision and Applications","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6940307021141052}],"awards":[{"id":"https://openalex.org/G136433309","display_name":null,"funder_award_id":"NA22NWS4320003","funder_id":"https://openalex.org/F4320332181","funder_display_name":"National Oceanic and Atmospheric Administration"}],"funders":[{"id":"https://openalex.org/F4320332181","display_name":"National Oceanic and Atmospheric Administration","ror":"https://ror.org/02z5nhe81"},{"id":"https://openalex.org/F4320332183","display_name":"U.S. Geological Survey","ror":"https://ror.org/035a68863"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W7126174084.pdf"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W63091017","https://openalex.org/W125693051","https://openalex.org/W2065002911","https://openalex.org/W2085744236","https://openalex.org/W2109616376","https://openalex.org/W2114867966","https://openalex.org/W2128926607","https://openalex.org/W2133665775","https://openalex.org/W2157095036","https://openalex.org/W2194775991","https://openalex.org/W2195174640","https://openalex.org/W2256362396","https://openalex.org/W2508509730","https://openalex.org/W2519481857","https://openalex.org/W2523532944","https://openalex.org/W2792829624","https://openalex.org/W2804860796","https://openalex.org/W2885623108","https://openalex.org/W2962782447","https://openalex.org/W2962785568","https://openalex.org/W2962793481","https://openalex.org/W2963306157","https://openalex.org/W2963928582","https://openalex.org/W2966552252","https://openalex.org/W2971086955","https://openalex.org/W2998249728","https://openalex.org/W3010855532","https://openalex.org/W3014553117","https://openalex.org/W3024419957","https://openalex.org/W3034331889","https://openalex.org/W3093348923","https://openalex.org/W3099238795","https://openalex.org/W3108316907","https://openalex.org/W3116616514","https://openalex.org/W3138516171","https://openalex.org/W3159481202","https://openalex.org/W3173269149","https://openalex.org/W3177127346","https://openalex.org/W3181236595","https://openalex.org/W3202752991","https://openalex.org/W3204515269","https://openalex.org/W4205921888","https://openalex.org/W4280549673","https://openalex.org/W4308544470","https://openalex.org/W4312234230","https://openalex.org/W4312443583","https://openalex.org/W4312617404","https://openalex.org/W4312694728","https://openalex.org/W4317496742","https://openalex.org/W4327808545","https://openalex.org/W4386072291","https://openalex.org/W4386076215","https://openalex.org/W4387967535","https://openalex.org/W4390872931","https://openalex.org/W4393186518","https://openalex.org/W4394724219","https://openalex.org/W4399043208","https://openalex.org/W4402193063","https://openalex.org/W4402315759","https://openalex.org/W4402727293","https://openalex.org/W4402727359","https://openalex.org/W4402753888","https://openalex.org/W4403757510"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"This":[1],"study":[2],"introduces":[3],"a":[4,9,40,43,52,71,78,91,143],"novel":[5,92],"end-to-end":[6],"framework":[7,133,197],"for":[8],"reliable":[10],"dehazing":[11,44,167,189,199],"of":[12,39,70,103,120,130,145,157,194],"images":[13,58,86,139],"obtained":[14],"from":[15],"an":[16,154],"operational":[17],"flow":[18,149],"monitoring":[19,147],"network":[20,98,144],"operated":[21],"by":[22,77],"the":[23,128,131,163,192,195],"U.S.":[24],"Geological":[25],"Survey":[26],"(USGS),":[27],"comprising":[28],"more":[29],"than":[30],"800":[31],"nationwide":[32],"cameras.":[33],"A":[34,184],"two-stage":[35],"process":[36],"that":[37],"consists":[38,102],"classifier":[41,49,67,152],"and":[42,59,106,123,136,176],"models":[45,190],"is":[46,68],"proposed.":[47],"The":[48,66,84,109,151,166],"acts":[50],"as":[51],"filtering":[53],"step":[54],"to":[55,142],"detect":[56],"hazy":[57,85,122,138,164,201],"avoid":[60],"unnecessary":[61],"operations":[62],"on":[63,117],"haze-free":[64,124],"images.":[65,125,183,202],"composed":[69],"frozen":[72],"ResNet50":[73],"feature":[74],"extractor":[75],"followed":[76],"custom":[79],"three-layer":[80],"fully":[81],"connected":[82],"head.":[83],"are":[87],"then":[88],"restored":[89],"using":[90],"one-step":[93],"image-to-image":[94],"translation":[95],"generative":[96],"adversarial":[97],"model":[99,110,168],"(CycleGAN-Turbo),":[100],"which":[101],"two":[104,107],"generators":[105],"discriminators.":[108],"leverages":[111],"diffusion-based":[112],"architecture.":[113],"CycleGAN-Turbo":[114],"was":[115],"trained":[116],"unpaired":[118],"sets":[119],"real":[121],"Results":[126],"show":[127],"efficiency":[129],"proposed":[132,196],"in":[134,162,171,174,178,180,198],"identifying":[135],"restoring":[137,181],"when":[140],"applied":[141],"cameras":[146],"river":[148],"conditions.":[150],"achieved":[153],"overall":[155],"accuracy":[156],"99.28%":[158],"with":[159,186],"100%":[160],"recall":[161],"class.":[165],"scored":[169],"153.29":[170],"FID,":[172],"0.73":[173],"CMMD,":[175],"0.0142":[177],"DINO":[179],"real-hazy":[182],"comparison":[185],"other":[187],"state-of-the-art":[188],"shows":[191],"superiority":[193],"real-world":[200]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2026-02-01T00:00:00"}