{"id":"https://openalex.org/W2969134192","doi":"https://doi.org/10.1109/tmm.2019.2933334","title":"PDR-Net: Perception-Inspired Single Image Dehazing Network With Refinement","display_name":"PDR-Net: Perception-Inspired Single Image Dehazing Network With Refinement","publication_year":2019,"publication_date":"2019-08-08","ids":{"openalex":"https://openalex.org/W2969134192","doi":"https://doi.org/10.1109/tmm.2019.2933334","mag":"2969134192"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2019.2933334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2019.2933334","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":"https://openalex.org/A5034122071","display_name":"Chongyi Li","orcid":"https://orcid.org/0000-0003-2609-2460"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]},{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["CN","HK"],"is_corresponding":true,"raw_author_name":"Chongyi Li","raw_affiliation_strings":["City University of Hong Kong, Hong Kong","School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086639598","display_name":"Chunle Guo","orcid":"https://orcid.org/0000-0002-2432-2026"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunle Guo","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100445482","display_name":"Jichang Guo","orcid":"https://orcid.org/0000-0003-3130-1685"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jichang Guo","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030967835","display_name":"Ping Han","orcid":"https://orcid.org/0000-0001-9633-6286"},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Han","raw_affiliation_strings":["College of Electronic Information and Automation, Civil Aviation University of China, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Information and Automation, Civil Aviation University of China, Tianjin, China","institution_ids":["https://openalex.org/I28813325"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010970485","display_name":"Huazhu Fu","orcid":"https://orcid.org/0000-0002-9702-5524"},"institutions":[{"id":"https://openalex.org/I4210116052","display_name":"Inception Institute of Artificial Intelligence","ror":"https://ror.org/02664zk40","country_code":"AE","type":"facility","lineage":["https://openalex.org/I4210116052"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Huazhu Fu","raw_affiliation_strings":["Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates"],"affiliations":[{"raw_affiliation_string":"Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I4210116052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091558139","display_name":"Runmin Cong","orcid":"https://orcid.org/0000-0003-0972-4008"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runmin Cong","raw_affiliation_strings":["Institute of Information Science and the Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science and the Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5034122071"],"corresponding_institution_ids":["https://openalex.org/I162868743","https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":8.7024,"has_fulltext":false,"cited_by_count":167,"citation_normalized_percentile":{"value":0.98211046,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"22","issue":"3","first_page":"704","last_page":"716"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9966999888420105,"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":0.9951000213623047,"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/computer-science","display_name":"Computer science","score":0.892008900642395},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.7804210186004639},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6569736003875732},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6430799961090088},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.580394983291626},{"id":"https://openalex.org/keywords/subnetwork","display_name":"Subnetwork","score":0.557091236114502},{"id":"https://openalex.org/keywords/haze","display_name":"Haze","score":0.5532267093658447},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5042282342910767},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.50003981590271},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46046799421310425},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.44170430302619934},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.06894475221633911}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.892008900642395},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.7804210186004639},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6569736003875732},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6430799961090088},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.580394983291626},{"id":"https://openalex.org/C2780186347","wikidata":"https://www.wikidata.org/wiki/Q11414","display_name":"Subnetwork","level":2,"score":0.557091236114502},{"id":"https://openalex.org/C79974267","wikidata":"https://www.wikidata.org/wiki/Q643546","display_name":"Haze","level":2,"score":0.5532267093658447},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5042282342910767},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.50003981590271},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46046799421310425},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.44170430302619934},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.06894475221633911},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2019.2933334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2019.2933334","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":[{"id":"https://openalex.org/G3097790277","display_name":null,"funder_award_id":"2019RC039","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3355119371","display_name":null,"funder_award_id":"61571442","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4194377310","display_name":null,"funder_award_id":"61771334","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7277091170","display_name":null,"funder_award_id":"2016YFB0502405","funder_id":"https://openalex.org/F4320336026","funder_display_name":"National Key Research and Development Program of China Stem Cell and Translational Research"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320336026","display_name":"National Key Research and Development Program of China Stem Cell and Translational Research","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1971693194","https://openalex.org/W1977476420","https://openalex.org/W2028763589","https://openalex.org/W2028990532","https://openalex.org/W2065002911","https://openalex.org/W2081418206","https://openalex.org/W2097900287","https://openalex.org/W2099471712","https://openalex.org/W2108598243","https://openalex.org/W2110644821","https://openalex.org/W2114867966","https://openalex.org/W2125188192","https://openalex.org/W2128254161","https://openalex.org/W2133665775","https://openalex.org/W2147318913","https://openalex.org/W2154294191","https://openalex.org/W2156936307","https://openalex.org/W2186094539","https://openalex.org/W2188365844","https://openalex.org/W2194775991","https://openalex.org/W2256362396","https://openalex.org/W2331128040","https://openalex.org/W2467473805","https://openalex.org/W2487852963","https://openalex.org/W2508509730","https://openalex.org/W2519481857","https://openalex.org/W2576444478","https://openalex.org/W2607202125","https://openalex.org/W2765736075","https://openalex.org/W2767420414","https://openalex.org/W2767516232","https://openalex.org/W2774250990","https://openalex.org/W2779176852","https://openalex.org/W2783399029","https://openalex.org/W2791592182","https://openalex.org/W2798876216","https://openalex.org/W2804347065","https://openalex.org/W2804743778","https://openalex.org/W2805176243","https://openalex.org/W2809980286","https://openalex.org/W2895176907","https://openalex.org/W2904488225","https://openalex.org/W2962835968","https://openalex.org/W2962965915","https://openalex.org/W2963226402","https://openalex.org/W2963306157","https://openalex.org/W2963446712","https://openalex.org/W2963684405","https://openalex.org/W2963780738","https://openalex.org/W2963928582","https://openalex.org/W2967085153","https://openalex.org/W2968687289","https://openalex.org/W3102864715","https://openalex.org/W3103309903","https://openalex.org/W3215985143","https://openalex.org/W4320013936","https://openalex.org/W6637373629","https://openalex.org/W6682794873","https://openalex.org/W6686583229","https://openalex.org/W6687045409","https://openalex.org/W6702130928","https://openalex.org/W6726979445","https://openalex.org/W6747689466","https://openalex.org/W6767434932"],"related_works":["https://openalex.org/W2377479197","https://openalex.org/W4360602179","https://openalex.org/W2360189371","https://openalex.org/W2310037518","https://openalex.org/W2898303697","https://openalex.org/W3111225517","https://openalex.org/W2357703469","https://openalex.org/W2383404717","https://openalex.org/W2363003319","https://openalex.org/W2611131363"],"abstract_inverted_index":{"During":[0],"recent":[1,50],"years,":[2],"we":[3,69],"have":[4,14],"witnessed":[5],"a":[6,71,85,97],"rapid":[7],"development":[8],"of":[9,46,52,59,108,127,153,185],"wireless":[10],"network":[11,75],"technologies":[12],"which":[13,41,83,136],"revolutionized":[15],"the":[16,28,44,49,56,92,103,109,119,125,138,150,154,161,182],"way":[17],"people":[18],"take":[19],"and":[20,96,105,130,146,166,173,178],"share":[21],"multimedia":[22],"content.":[23],"However,":[24],"images":[25,145,175],"captured":[26],"in":[27,176,188],"outdoor":[29,131],"scenes":[30],"usually":[31],"suffer":[32],"from":[33],"limited":[34],"visibility":[35],"due":[36],"to":[37,118,142],"suspended":[38],"atmospheric":[39],"particles,":[40],"directly":[42],"affects":[43],"quality":[45,58,152],"photos.":[47],"Despite":[48],"progress":[51],"image":[53,79,95,132],"dehazing":[54,80,133],"methods,":[55,121],"visual":[57,151],"dehazed":[60,94,110,155],"results":[61],"still":[62],"needs":[63],"further":[64,101],"improvement.":[65],"In":[66],"this":[67],"paper,":[68],"propose":[70],"deep":[72],"convolutional":[73],"neural":[74],"(CNN)":[76],"for":[77,148],"single":[78],"called":[81],"PDR-Net,":[82],"includes":[84],"perception-inspired":[86],"haze":[87],"removal":[88],"subnetwork":[89,99],"that":[90,100,160],"reconstructs":[91],"latent":[93],"refinement":[98],"enhances":[102],"contrast":[104],"color":[106],"properties":[107],"result":[111],"by":[112],"joint":[113],"multi-term":[114],"loss":[115],"optimization.":[116],"Compared":[117],"previous":[120],"our":[122,186],"method":[123,163,187],"combines":[124],"advantages":[126],"existing":[128],"indoor":[129],"training":[134],"data,":[135],"makes":[137],"proposed":[139,162],"PDR-Net":[140],"generalized":[141],"various":[143],"hazy":[144],"effective":[147],"improving":[149],"results.":[156],"Extensive":[157],"experiments":[158],"demonstrate":[159],"achieves":[164],"comparable":[165],"even":[167],"better":[168],"performance":[169],"on":[170],"both":[171],"real":[172],"synthetic":[174],"qualitative":[177],"quantitative":[179],"metrics.":[180],"Additionally,":[181],"potential":[183],"usage":[184],"high-level":[189],"vision":[190],"tasks":[191],"is":[192],"discussed.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":31},{"year":2023,"cited_by_count":27},{"year":2022,"cited_by_count":28},{"year":2021,"cited_by_count":38},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":4}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
