{"id":"https://openalex.org/W3005193747","doi":"https://doi.org/10.1109/access.2020.2971092","title":"MMP-Net: A Multi-Scale Feature Multiple Parallel Fusion Network for Single Image Haze Removal","display_name":"MMP-Net: A Multi-Scale Feature Multiple Parallel Fusion Network for Single Image Haze Removal","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3005193747","doi":"https://doi.org/10.1109/access.2020.2971092","mag":"3005193747"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2971092","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2971092","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08978695.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08978695.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101647963","display_name":"Jiajia Yan","orcid":"https://orcid.org/0000-0002-6702-4221"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiajia Yan","raw_affiliation_strings":["Institute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-6702-4221","affiliations":[{"raw_affiliation_string":"Institute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100610667","display_name":"Chaofeng Li","orcid":"https://orcid.org/0000-0002-3236-3143"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaofeng Li","raw_affiliation_strings":["Institute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-3236-3143","affiliations":[{"raw_affiliation_string":"Institute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100698166","display_name":"Yuhui Zheng","orcid":"https://orcid.org/0000-0002-4408-3800"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhui Zheng","raw_affiliation_strings":["College of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-4408-3800","affiliations":[{"raw_affiliation_string":"College of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101900610","display_name":"Shoukun Xu","orcid":"https://orcid.org/0000-0001-5996-0266"},"institutions":[{"id":"https://openalex.org/I4210153482","display_name":"Changzhou University","ror":"https://ror.org/04ymgwq66","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153482"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shoukun Xu","raw_affiliation_strings":["School of Information Science and Engineering, Changzhou University, Changzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5996-0266","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Changzhou University, Changzhou, China","institution_ids":["https://openalex.org/I4210153482"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021469500","display_name":"Xiaoyong Yan","orcid":"https://orcid.org/0000-0002-8097-9268"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]},{"id":"https://openalex.org/I64449678","display_name":"Putian University","ror":"https://ror.org/00jmsxk74","country_code":"CN","type":"education","lineage":["https://openalex.org/I64449678"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyong Yan","raw_affiliation_strings":["Key Laboratory of Applied Mathematics (Putian University), Fujian Province University, Putian, China","School of Modern Posts and Institute of Modern Posts, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-8097-9268","affiliations":[{"raw_affiliation_string":"Key Laboratory of Applied Mathematics (Putian University), Fujian Province University, Putian, China","institution_ids":["https://openalex.org/I64449678"]},{"raw_affiliation_string":"School of Modern Posts and Institute of Modern Posts, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101647963"],"corresponding_institution_ids":["https://openalex.org/I96733725"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.1768,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.80731332,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"25431","last_page":"25441"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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":1.0,"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":0.9994999766349792,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9951000213623047,"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/residual","display_name":"Residual","score":0.7873789668083191},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7619144916534424},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.713512659072876},{"id":"https://openalex.org/keywords/haze","display_name":"Haze","score":0.6872867345809937},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.642795205116272},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6173537969589233},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.5489745736122131},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5425155758857727},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5253579020500183},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5047897100448608},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.48299849033355713},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4524104595184326},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42853838205337524},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3596915602684021},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18583518266677856},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10631614923477173}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7873789668083191},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7619144916534424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.713512659072876},{"id":"https://openalex.org/C79974267","wikidata":"https://www.wikidata.org/wiki/Q643546","display_name":"Haze","level":2,"score":0.6872867345809937},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.642795205116272},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6173537969589233},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.5489745736122131},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5425155758857727},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5253579020500183},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5047897100448608},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.48299849033355713},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4524104595184326},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42853838205337524},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3596915602684021},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18583518266677856},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10631614923477173},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2971092","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2971092","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08978695.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d5d77cca69b3447e8a7f3983c5cab76e","is_oa":true,"landing_page_url":"https://doaj.org/article/d5d77cca69b3447e8a7f3983c5cab76e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 25431-25441 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2971092","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2971092","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08978695.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5600000023841858,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G3394770271","display_name":null,"funder_award_id":"61771223","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G792849095","display_name":null,"funder_award_id":"SX201905","funder_id":"https://openalex.org/F4320326529","funder_display_name":"Putian University"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326529","display_name":"Putian University","ror":"https://ror.org/00jmsxk74"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3005193747.pdf","grobid_xml":"https://content.openalex.org/works/W3005193747.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1616262590","https://openalex.org/W1677182931","https://openalex.org/W1967369969","https://openalex.org/W2002299629","https://openalex.org/W2070165440","https://openalex.org/W2102166818","https://openalex.org/W2114867966","https://openalex.org/W2116498084","https://openalex.org/W2117539524","https://openalex.org/W2125676229","https://openalex.org/W2128254161","https://openalex.org/W2133665775","https://openalex.org/W2156936307","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2256362396","https://openalex.org/W2293894573","https://openalex.org/W2467473805","https://openalex.org/W2508509730","https://openalex.org/W2519481857","https://openalex.org/W2532790758","https://openalex.org/W2746139371","https://openalex.org/W2779176852","https://openalex.org/W2890894871","https://openalex.org/W2898234842","https://openalex.org/W2899771611","https://openalex.org/W2911928347","https://openalex.org/W2955731188","https://openalex.org/W2962754725","https://openalex.org/W2962816068","https://openalex.org/W2963074253","https://openalex.org/W2963306157","https://openalex.org/W2963928582","https://openalex.org/W2964092275","https://openalex.org/W2967047368","https://openalex.org/W3102431071","https://openalex.org/W6677521738","https://openalex.org/W6684191040","https://openalex.org/W6755366742","https://openalex.org/W6756040250"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969","https://openalex.org/W2284201331","https://openalex.org/W2095903272","https://openalex.org/W1989561795"],"abstract_inverted_index":{"Reducing":[0],"the":[1,123,138,148,172,181],"impact":[2],"of":[3,150],"hazy":[4,188],"images":[5],"on":[6,147,186],"subsequent":[7],"visual":[8,184],"information":[9],"processing":[10],"is":[11,67],"a":[12,61,133],"challenging":[13],"problem.":[14],"In":[15,57,88,108],"this":[16],"paper,":[17],"combining":[18],"with":[19,122],"atmospheric":[20,139],"scattering":[21,140],"model,":[22],"we":[23],"propose":[24],"an":[25],"end-to-end":[26],"multi-scale":[27,45,58,62],"feature":[28],"multiple":[29,83],"parallel":[30,53,110],"fusion":[31,54,111],"network":[32,65],"called":[33],"MMP-Net":[34,41,158,179],"for":[35],"single":[36],"image":[37,105,136],"haze":[38],"removal.":[39],"The":[40,142],"includes":[42],"three":[43,151],"components:":[44],"CNN":[46,59],"module,":[47,60,91,112],"residual":[48,89,92,116],"learning":[49,90,117],"module":[50,118],"and":[51,78,128,155,165],"deep":[52,109],"module.":[55],"1)":[56],"convolutional":[63],"neural":[64],"(CNNs)":[66],"adopted":[68],"to":[69,76,96,131,163,169],"extract":[70],"different":[71],"scales":[72],"features":[73,80,114,125],"from":[74,115,126,161,167],"whole":[75],"local,":[77],"these":[79],"are":[81,94,119],"fused":[82,124],"times":[84],"in":[85],"parallel.":[86],"2)":[87],"blocks":[93],"introduced":[95],"deeply":[97,120],"learn":[98],"detailed":[99],"features,":[100],"which":[101],"can":[102],"recover":[103,132],"more":[104],"details.":[106],"3)":[107],"those":[113],"merged":[121],"CNNs,":[127],"finally":[129],"used":[130],"clean":[134],"haze-free":[135],"via":[137],"model.":[141],"experimental":[143],"results":[144],"show":[145],"that":[146],"average":[149],"datasets":[152],"(SOTS,":[153],"HSTS,":[154],"D-Hazy),":[156],"proposed":[157],"improves":[159],"PSNR":[160],"20.91db":[162],"22.21db":[164],"SSIM":[166],"0.8720":[168],"0.9023":[170],"over":[171],"best":[173,182],"state-of-the-art":[174],"DehazeNet":[175],"method.":[176],"What's":[177],"more,":[178],"gains":[180],"subjective":[183],"quality":[185],"real-world":[187],"images.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
