{"id":"https://openalex.org/W3204345992","doi":"https://doi.org/10.32604/csse.2022.018911","title":"FPD Net: Feature Pyramid DehazeNet","display_name":"FPD Net: Feature Pyramid DehazeNet","publication_year":2021,"publication_date":"2021-09-24","ids":{"openalex":"https://openalex.org/W3204345992","doi":"https://doi.org/10.32604/csse.2022.018911","mag":"3204345992"},"language":"en","primary_location":{"id":"doi:10.32604/csse.2022.018911","doi":"https://doi.org/10.32604/csse.2022.018911","is_oa":true,"landing_page_url":"https://doi.org/10.32604/csse.2022.018911","pdf_url":"https://file.techscience.com/ueditor/files/csse/TSP_CSSE-40-3/TSP_CSSE_18911/TSP_CSSE_18911.pdf","source":{"id":"https://openalex.org/S4210214087","display_name":"Computer Systems Science and Engineering","issn_l":"0267-6192","issn":["0267-6192","2766-4821"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1","poland-40","russia-white-list-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Systems Science and Engineering","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://file.techscience.com/ueditor/files/csse/TSP_CSSE-40-3/TSP_CSSE_18911/TSP_CSSE_18911.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101562420","display_name":"Shengchun Wang","orcid":"https://orcid.org/0000-0002-7386-581X","observed_orcids":["https://orcid.org/0000-0002-7386-581X"]},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengchun Wang","raw_affiliation_strings":["College of Information Science and Engineering, Hunan Normal University, Changsha, 410081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan Normal University, Changsha, 410081, China","institution_ids":["https://openalex.org/I173759888"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086880267","display_name":"Peiqi Chen","orcid":"https://orcid.org/0009-0004-7456-8894","observed_orcids":["https://orcid.org/0009-0004-7456-8894"]},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peiqi Chen","raw_affiliation_strings":["College of Information Science and Engineering, Hunan Normal University, Changsha, 410081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan Normal University, Changsha, 410081, China","institution_ids":["https://openalex.org/I173759888"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jingui Huang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingui Huang","raw_affiliation_strings":["College of Information Science and Engineering, Hunan Normal University, Changsha, 410081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan Normal University, Changsha, 410081, China","institution_ids":["https://openalex.org/I173759888"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068444067","display_name":"Tsz Ho Wong","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tsz Ho Wong","raw_affiliation_strings":["Blackmagic Design, Rowville, VIC, 3178, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Blackmagic Design, Rowville, VIC, 3178, Australia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I173759888"],"apc_list":null,"apc_paid":null,"fwci":0.2291,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.42086548,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"40","issue":"3","first_page":"1167","last_page":"1181"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":9.999999747378752e-05,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/image-dehazing","display_name":"image dehazing","score":0.996999979019165},{"id":"https://openalex.org/keywords/feature-pyramid-network","display_name":"feature pyramid network","score":0.8690000176429749},{"id":"https://openalex.org/keywords/atmospheric-scattering-model","display_name":"atmospheric scattering model","score":0.9269999861717224},{"id":"https://openalex.org/keywords/efficientnet-b0","display_name":"EfficientNetB0","score":0.8539999723434448},{"id":"https://openalex.org/keywords/bifpn","display_name":"BiFPN","score":0.9710000157356262},{"id":"https://openalex.org/keywords/multiscale-feature-fusion","display_name":"multi-scale feature fusion","score":0.7419999837875366},{"id":"https://openalex.org/keywords/semantic-segmentation","display_name":"semantic segmentation","score":0.3790000081062317}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8293945789337158},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7916290760040283},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.6720011234283447},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.6539323329925537},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6138970255851746},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5791177749633789},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49590572714805603},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.49437642097473145},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47985976934432983},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43116170167922974},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34988081455230713},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09196442365646362},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32604/csse.2022.018911","doi":"https://doi.org/10.32604/csse.2022.018911","is_oa":true,"landing_page_url":"https://doi.org/10.32604/csse.2022.018911","pdf_url":"https://file.techscience.com/ueditor/files/csse/TSP_CSSE-40-3/TSP_CSSE_18911/TSP_CSSE_18911.pdf","source":{"id":"https://openalex.org/S4210214087","display_name":"Computer Systems Science and Engineering","issn_l":"0267-6192","issn":["0267-6192","2766-4821"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1","poland-40","russia-white-list-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Systems Science and Engineering","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.32604/csse.2022.018911","doi":"https://doi.org/10.32604/csse.2022.018911","is_oa":true,"landing_page_url":"https://doi.org/10.32604/csse.2022.018911","pdf_url":"https://file.techscience.com/ueditor/files/csse/TSP_CSSE-40-3/TSP_CSSE_18911/TSP_CSSE_18911.pdf","source":{"id":"https://openalex.org/S4210214087","display_name":"Computer Systems Science and Engineering","issn_l":"0267-6192","issn":["0267-6192","2766-4821"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1","poland-40","russia-white-list-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Systems Science and Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3204345992.pdf","grobid_xml":"https://content.openalex.org/works/W3204345992.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W1815076433","https://openalex.org/W1971693194","https://openalex.org/W1985066542","https://openalex.org/W2097018403","https://openalex.org/W2102605133","https://openalex.org/W2104978738","https://openalex.org/W2109255472","https://openalex.org/W2109616376","https://openalex.org/W2113544260","https://openalex.org/W2121880036","https://openalex.org/W2128254161","https://openalex.org/W2133665775","https://openalex.org/W2147318913","https://openalex.org/W2156936307","https://openalex.org/W2162915993","https://openalex.org/W2163605009","https://openalex.org/W2165725739","https://openalex.org/W2194775991","https://openalex.org/W2256362396","https://openalex.org/W2466666260","https://openalex.org/W2467473805","https://openalex.org/W2516814155","https://openalex.org/W2549139847","https://openalex.org/W2560023338","https://openalex.org/W2565639579","https://openalex.org/W2752782242","https://openalex.org/W2774250990","https://openalex.org/W2779176852","https://openalex.org/W2798876216","https://openalex.org/W2884569173","https://openalex.org/W2894289548","https://openalex.org/W2899771611","https://openalex.org/W2936599103","https://openalex.org/W2946948417","https://openalex.org/W2962754725","https://openalex.org/W2963152299","https://openalex.org/W2963306157","https://openalex.org/W2963420686","https://openalex.org/W2963446712","https://openalex.org/W2963676366","https://openalex.org/W2963857746","https://openalex.org/W2965417721","https://openalex.org/W2991006905","https://openalex.org/W3034971973","https://openalex.org/W3042480313","https://openalex.org/W3045400274","https://openalex.org/W3080842357","https://openalex.org/W3110391149","https://openalex.org/W4206212857","https://openalex.org/W6681767515","https://openalex.org/W6735463952"],"related_works":["https://openalex.org/W2998249728","https://openalex.org/W4408612398","https://openalex.org/W3089141666","https://openalex.org/W4210842488","https://openalex.org/W4392719533","https://openalex.org/W4401289174","https://openalex.org/W4388895058","https://openalex.org/W3033003249","https://openalex.org/W4402648808","https://openalex.org/W2955731188"],"abstract_inverted_index":{"We":[0,120],"propose":[1],"an":[2],"end-to-end":[3],"dehazing":[4,15,33,36,82,92],"model":[5,16,25,37,83],"based":[6,20],"on":[7,21],"deep":[8],"learning":[9],"(CNN":[10],"network)":[11],"and":[12,55,70,99,151,155,163,177,191,213],"uses":[13,56],"the":[14,22,30,35,45,50,81,133,136,148,152,161,193,200],"re-proposed":[17],"by":[18,112],"AOD-Net":[19],"atmospheric":[23],"scattering":[24],"for":[26],"dehazing.":[27],"Compare":[28],"to":[29,63,90,181],"previously":[31],"proposed":[32,38,84],"network,":[34],"in":[39,49,85,94,110,135,142],"this":[40,86,143],"paper":[41,87,144],"make":[42],"use":[43],"of":[44,52,60,67,76,96],"FPN":[46,139,212],"network":[47,238],"structure":[48,140],"field":[51],"target":[53],"detection,":[54],"five":[57,167],"feature":[58,118,168,239],"maps":[59,169],"different":[61,68,71,171],"sizes":[62,172],"better":[64,157],"obtain":[65,131,225],"features":[66,127,195,227],"proportions":[69],"sub-regions.":[72],"A":[73],"large":[74],"amount":[75],"experimental":[77],"data":[78],"proves":[79],"that":[80,122,220],"is":[88,218,234],"superior":[89],"previous":[91],"technologies":[93],"terms":[95],"PSNR,":[97],"SSIM,":[98],"subjective":[100],"visual":[101],"quality.":[102],"In":[103,179],"addition,":[104],"it":[105],"achieved":[106],"a":[107,117,206],"good":[108],"performance":[109],"speed":[111],"using":[113,124],"EfficientNet":[114,214,221,231],"B0":[115],"as":[116,236],"extractor.":[119],"find":[121],"only":[123],"high-level":[125,149],"semantic":[126],"can":[128,145,156,224],"not":[129,174],"effectively":[130,146],"all":[132,183,189],"information":[134],"image.":[137],"The":[138,166],"used":[141],"integrate":[147],"semantics":[150],"low-level":[153],"semantics,":[154],"take":[158],"into":[159],"account":[160],"global":[162],"local":[164],"features.":[165],"with":[170,211,215,222,232],"are":[173],"simply":[175],"weighted":[176],"fused.":[178],"order":[180],"keep":[182],"their":[184],"information,":[185],"we":[186,203],"put":[187],"them":[188],"together":[190],"get":[192],"final":[194],"through":[196],"decode":[197],"layers.":[198],"At":[199],"same":[201],"time,":[202],"have":[204],"done":[205],"comparative":[207],"experiment":[208],"between":[209],"ResNet":[210],"BiFPN.":[216],"It":[217],"proved":[219],"BiFPN":[223,233],"image":[226],"more":[228],"efficiently.":[229],"Therefore,":[230],"chosen":[235],"our":[237],"extraction.":[240]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2021-10-11T00:00:00"}