{"id":"https://openalex.org/W3138219084","doi":"https://doi.org/10.1109/tcsvt.2021.3067062","title":"Hierarchical Feature Fusion With Mixed Convolution Attention for Single Image Dehazing","display_name":"Hierarchical Feature Fusion With Mixed Convolution Attention for Single Image Dehazing","publication_year":2021,"publication_date":"2021-03-18","ids":{"openalex":"https://openalex.org/W3138219084","doi":"https://doi.org/10.1109/tcsvt.2021.3067062","mag":"3138219084"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2021.3067062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2021.3067062","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5100699785","display_name":"Xiaoqin Zhang","orcid":"https://orcid.org/0000-0003-0958-7285"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoqin Zhang","raw_affiliation_strings":["College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, China","institution_ids":["https://openalex.org/I146620803"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100376128","display_name":"Jinxin Wang","orcid":"https://orcid.org/0000-0003-3972-4949"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinxin Wang","raw_affiliation_strings":["College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, China","institution_ids":["https://openalex.org/I146620803"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453453","display_name":"Tao Wang","orcid":"https://orcid.org/0000-0002-0202-0174"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Wang","raw_affiliation_strings":["College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, China","institution_ids":["https://openalex.org/I146620803"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040090294","display_name":"Runhua Jiang","orcid":"https://orcid.org/0000-0003-2402-8684"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runhua Jiang","raw_affiliation_strings":["College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, China","institution_ids":["https://openalex.org/I146620803"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100699785"],"corresponding_institution_ids":["https://openalex.org/I146620803"],"apc_list":null,"apc_paid":null,"fwci":6.586,"has_fulltext":false,"cited_by_count":86,"citation_normalized_percentile":{"value":0.97661445,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"32","issue":"2","first_page":"510","last_page":"522"},"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":0.998199999332428,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9958999752998352,"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/computer-science","display_name":"Computer science","score":0.837177574634552},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7266616821289062},{"id":"https://openalex.org/keywords/haze","display_name":"Haze","score":0.6509519219398499},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5963367223739624},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5870620608329773},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5802716612815857},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5178816318511963},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4300456643104553},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41998523473739624},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.20201486349105835}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.837177574634552},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7266616821289062},{"id":"https://openalex.org/C79974267","wikidata":"https://www.wikidata.org/wiki/Q643546","display_name":"Haze","level":2,"score":0.6509519219398499},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5963367223739624},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5870620608329773},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5802716612815857},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5178816318511963},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4300456643104553},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41998523473739624},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.20201486349105835},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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":1,"locations":[{"id":"doi:10.1109/tcsvt.2021.3067062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2021.3067062","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G133414184","display_name":null,"funder_award_id":"U2033210","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G214095759","display_name":null,"funder_award_id":"ZG2017016","funder_id":"https://openalex.org/F4320336615","funder_display_name":"Science and Technology Plan Project of Wenzhou, China"},{"id":"https://openalex.org/G346084562","display_name":null,"funder_award_id":"LR17F030001","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G3796144338","display_name":null,"funder_award_id":"61922064","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G448318003","display_name":null,"funder_award_id":"C20170008","funder_id":"https://openalex.org/F4320336615","funder_display_name":"Science and Technology Plan Project of Wenzhou, China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336615","display_name":"Science and Technology Plan Project of Wenzhou, China","ror":null},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1866311589","https://openalex.org/W1971693194","https://openalex.org/W2001657034","https://openalex.org/W2114770744","https://openalex.org/W2119112357","https://openalex.org/W2121880036","https://openalex.org/W2128254161","https://openalex.org/W2133665775","https://openalex.org/W2156936307","https://openalex.org/W2256362396","https://openalex.org/W2467473805","https://openalex.org/W2519481857","https://openalex.org/W2531409750","https://openalex.org/W2550553598","https://openalex.org/W2582488595","https://openalex.org/W2737986825","https://openalex.org/W2779176852","https://openalex.org/W2884585870","https://openalex.org/W2894289548","https://openalex.org/W2894909756","https://openalex.org/W2899026108","https://openalex.org/W2945111379","https://openalex.org/W2948606054","https://openalex.org/W2960871125","https://openalex.org/W2962754725","https://openalex.org/W2962782447","https://openalex.org/W2963085671","https://openalex.org/W2963306157","https://openalex.org/W2963928582","https://openalex.org/W2964092275","https://openalex.org/W2971806904","https://openalex.org/W2986670728","https://openalex.org/W2990007814","https://openalex.org/W3021850033","https://openalex.org/W3107316803","https://openalex.org/W3114126472","https://openalex.org/W3157005178","https://openalex.org/W6631190155","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W2318437963","https://openalex.org/W2348696601","https://openalex.org/W2394444438","https://openalex.org/W2377355001","https://openalex.org/W2387386748","https://openalex.org/W2377493372","https://openalex.org/W2964624622","https://openalex.org/W2388134306","https://openalex.org/W2371905190","https://openalex.org/W3088721469"],"abstract_inverted_index":{"Single":[0],"image":[1,9,87],"dehazing,":[2],"which":[3,44],"aims":[4],"at":[5],"restoring":[6],"a":[7,17,64,147],"haze-free":[8],"from":[10],"its":[11],"correspondingly":[12],"unconstrained":[13],"hazy":[14],"scene,":[15],"is":[16,113,151],"fundamental":[18],"yet":[19],"challenging":[20],"task":[21],"and":[22,41,50,71,77,86,121,125,142],"has":[23],"gained":[24],"immense":[25],"popularity":[26],"recently.":[27],"However,":[28],"the":[29,47,80,99,134,167],"images":[30,102,137],"recovered":[31],"by":[32,93],"some":[33],"existing":[34],"haze-removal":[35],"methods":[36],"often":[37],"contain":[38],"haze,":[39],"artifacts,":[40],"color":[42],"distortions,":[43],"severely":[45],"degrade":[46],"visual":[48],"quality":[49],"have":[51],"negative":[52],"impacts":[53],"on":[54],"subsequent":[55],"computer":[56],"vision":[57],"tasks.":[58],"To":[59],"this":[60],"end,":[61],"we":[62],"propose":[63],"network":[65],"combining":[66],"multi-scale":[67,95],"hierarchical":[68,96],"feature":[69,117],"fusion":[70],"mixed":[72,109],"convolution":[73,110],"attention":[74,111],"to":[75,154],"progressively":[76],"adaptively":[78],"enhance":[79],"dehazing":[81],"performance.":[82],"The":[83,107,162],"haze":[84,172],"levels":[85],"structure":[88],"information":[89,158],"are":[90],"accurately":[91],"estimated":[92],"fusing":[94],"features,":[97,128],"thus":[98],"model":[100,135],"restores":[101],"with":[103,138],"less":[104],"remaining":[105],"haze.":[106],"proposed":[108,153,168],"mechanism":[112],"capable":[114],"of":[115],"reducing":[116],"redundancy,":[118],"learning":[119],"compact":[120],"effective":[122],"internal":[123],"representations":[124],"highlighting":[126],"task-relevant":[127],"thus,":[129],"it":[130],"can":[131],"further":[132],"help":[133],"estimate":[136],"sharper":[139],"textural":[140],"details":[141],"more":[143],"vivid":[144],"colors.":[145],"Furthermore,":[146],"deep":[148,160],"semantic":[149,157],"loss":[150],"also":[152],"highlight":[155],"essential":[156],"in":[159],"features.":[161],"experimental":[163],"results":[164],"show":[165],"that":[166],"method":[169],"outperforms":[170],"state-of-the-art":[171],"removal":[173],"algorithms.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":26},{"year":2021,"cited_by_count":3}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}
