{"id":"https://openalex.org/W3110069174","doi":"https://doi.org/10.1109/tip.2020.3040075","title":"Deep Retinex Network for Single Image Dehazing","display_name":"Deep Retinex Network for Single Image Dehazing","publication_year":2020,"publication_date":"2020-12-01","ids":{"openalex":"https://openalex.org/W3110069174","doi":"https://doi.org/10.1109/tip.2020.3040075","mag":"3110069174","pmid":"https://pubmed.ncbi.nlm.nih.gov/33259301"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2020.3040075","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.3040075","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5025228139","display_name":"Pengyue Li","orcid":"https://orcid.org/0000-0003-1156-2423"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengyue Li","raw_affiliation_strings":["Faculty of Robot Science and Engineering, Northeastern University, Shenyang, China","Chinese Academy of Sciences, Institutes for Robotics and Intelligent Manufacturing, Shenyang, China","State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0003-1156-2423","affiliations":[{"raw_affiliation_string":"Faculty of Robot Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Chinese Academy of Sciences, Institutes for Robotics and Intelligent Manufacturing, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101818810","display_name":"Jiandong Tian","orcid":"https://orcid.org/0000-0002-5027-1381"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiandong Tian","raw_affiliation_strings":["State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China","Chinese Academy of Sciences, Institutes for Robotics and Intelligent Manufacturing, Shenyang, China","College of Robotics and Intelligent Manufacturing, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5027-1381","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Chinese Academy of Sciences, Institutes for Robotics and Intelligent Manufacturing, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"College of Robotics and Intelligent Manufacturing, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091319287","display_name":"Yandong Tang","orcid":"https://orcid.org/0000-0003-3805-7654"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yandong Tang","raw_affiliation_strings":["State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China","Chinese Academy of Sciences, Institutes for Robotics and Intelligent Manufacturing, Shenyang, China","College of Robotics and Intelligent Manufacturing, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3805-7654","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Chinese Academy of Sciences, Institutes for Robotics and Intelligent Manufacturing, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"College of Robotics and Intelligent Manufacturing, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101471790","display_name":"Guolin Wang","orcid":"https://orcid.org/0000-0003-1974-4432"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guolin Wang","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0003-1974-4432","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101399350","display_name":"Chengdong Wu","orcid":"https://orcid.org/0000-0001-5574-6932"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengdong Wu","raw_affiliation_strings":["Faculty of Robotics Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0001-5574-6932","affiliations":[{"raw_affiliation_string":"Faculty of Robotics Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.9085,"has_fulltext":false,"cited_by_count":104,"citation_normalized_percentile":{"value":0.96318053,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"30","issue":null,"first_page":"1100","last_page":"1115"},"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":0.9969000220298767,"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":0.9962000250816345,"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":0.8010129332542419},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7465767860412598},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7445964813232422},{"id":"https://openalex.org/keywords/color-constancy","display_name":"Color constancy","score":0.6313037872314453},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6303809881210327},{"id":"https://openalex.org/keywords/haze","display_name":"Haze","score":0.5913245677947998},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5269922614097595},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5227644443511963},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4367287755012512},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3796573281288147},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18684303760528564},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06571748852729797},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06455865502357483}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.8010129332542419},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7465767860412598},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7445964813232422},{"id":"https://openalex.org/C187888035","wikidata":"https://www.wikidata.org/wiki/Q2563885","display_name":"Color constancy","level":3,"score":0.6313037872314453},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6303809881210327},{"id":"https://openalex.org/C79974267","wikidata":"https://www.wikidata.org/wiki/Q643546","display_name":"Haze","level":2,"score":0.5913245677947998},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5269922614097595},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5227644443511963},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4367287755012512},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3796573281288147},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18684303760528564},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06571748852729797},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06455865502357483},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2020.3040075","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.3040075","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:33259301","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33259301","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:ir.sia.cn/:173321/28429","is_oa":false,"landing_page_url":"http://ir.sia.cn/handle/173321/28429","pdf_url":null,"source":{"id":"https://openalex.org/S4377196984","display_name":"SIA OpenIR (Chinese Academy of Sciences)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I19820366","host_organization_name":"Chinese Academy of Sciences","host_organization_lineage":["https://openalex.org/I19820366"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"\u671f\u520a\u8bba\u6587"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3507080720","display_name":null,"funder_award_id":"61821005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6652300243","display_name":null,"funder_award_id":"U2013210","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G705174222","display_name":null,"funder_award_id":"XLYC 1907039","funder_id":"https://openalex.org/F4320329895","funder_display_name":"Liaoning Revitalization Talents Program"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320322847","display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences","ror":"https://ror.org/031141b54"},{"id":"https://openalex.org/F4320329895","display_name":"Liaoning Revitalization Talents Program","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W1620656115","https://openalex.org/W1622083366","https://openalex.org/W1901129140","https://openalex.org/W2001486231","https://openalex.org/W2040987733","https://openalex.org/W2049679017","https://openalex.org/W2055447163","https://openalex.org/W2056332299","https://openalex.org/W2056860348","https://openalex.org/W2076205488","https://openalex.org/W2088505316","https://openalex.org/W2106402996","https://openalex.org/W2109341431","https://openalex.org/W2114770744","https://openalex.org/W2114867966","https://openalex.org/W2128254161","https://openalex.org/W2133665775","https://openalex.org/W2156936307","https://openalex.org/W2189025528","https://openalex.org/W2256362396","https://openalex.org/W2392671401","https://openalex.org/W2467473805","https://openalex.org/W2555821752","https://openalex.org/W2571941572","https://openalex.org/W2614951941","https://openalex.org/W2736707178","https://openalex.org/W2748021867","https://openalex.org/W2752782242","https://openalex.org/W2754480022","https://openalex.org/W2767420414","https://openalex.org/W2779176852","https://openalex.org/W2798876216","https://openalex.org/W2805176243","https://openalex.org/W2810033989","https://openalex.org/W2884585870","https://openalex.org/W2890894871","https://openalex.org/W2948606054","https://openalex.org/W2948892662","https://openalex.org/W2955731188","https://openalex.org/W2962736877","https://openalex.org/W2962754725","https://openalex.org/W2962944749","https://openalex.org/W2963226402","https://openalex.org/W2963306157","https://openalex.org/W2963420686","https://openalex.org/W2963928582","https://openalex.org/W2964092275","https://openalex.org/W2964101377","https://openalex.org/W2964115968","https://openalex.org/W2967718322","https://openalex.org/W2985030998","https://openalex.org/W2989362930","https://openalex.org/W2990007814","https://openalex.org/W2998249728","https://openalex.org/W3007633369","https://openalex.org/W3034331889","https://openalex.org/W3121281282","https://openalex.org/W4214695428","https://openalex.org/W6639824700","https://openalex.org/W6741213573","https://openalex.org/W6744393451","https://openalex.org/W6752524681","https://openalex.org/W6755366742","https://openalex.org/W6764969465"],"related_works":["https://openalex.org/W2397673276","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/W2388134306","https://openalex.org/W2371905190","https://openalex.org/W2026013722"],"abstract_inverted_index":{"In":[0,20,127],"this":[1,46],"paper,":[2],"we":[3,48,131],"propose":[4],"a":[5,10,14,50,71,83,148],"retinex-based":[6],"decomposition":[7],"model":[8,186],"for":[9,34,76,91],"hazy":[11,27],"image":[12,17,28,37,92],"and":[13,38,63,82,87,109,135,152,159,171,187],"novel":[15],"end-to-end":[16],"dehazing":[18,53,129,173],"network.":[19],"the":[21,23,26,35,59,64,78,120,128,133,140,144,157,179,183,201,204],"model,":[22,47],"illumination":[24,33,40,61,80,122],"of":[25,70,143,203],"is":[29],"decomposed":[30],"into":[31],"natural":[32],"haze-free":[36,65],"residual":[39,60,73,79,96,121],"caused":[41,124],"by":[42,125,154],"haze.":[43,126],"Based":[44],"on":[45,195],"design":[49],"deep":[51],"retinex":[52],"network":[54,75,98],"(RDN)":[55],"to":[56,117,146,206],"jointly":[57],"estimate":[58,119],"map":[62,81,123],"image.":[66],"Our":[67],"RDN":[68,176,205],"consists":[69],"multiscale":[72,95],"dense":[74,97],"estimating":[77],"U-Net":[84,145],"with":[85,164,182,192],"channel":[86,134],"spatial":[88,136],"attention":[89,137,161],"mechanisms":[90,138],"dehazing.":[93],"The":[94],"can":[99,177],"simultaneously":[100],"capture":[101],"global":[102],"contextual":[103],"information":[104,112],"from":[105,113],"small-scale":[106],"receptive":[107,115],"fields":[108,116],"local":[110],"detailed":[111],"large-scale":[114],"precisely":[118],"U-Net,":[130],"apply":[132],"in":[139],"skip":[141],"connection":[142],"achieve":[147],"trade-off":[149],"between":[150],"overdehazing":[151],"underdehazing":[153],"automatically":[155],"adjusting":[156],"channel-wise":[158],"pixel-wise":[160],"weights.":[162],"Compared":[163],"scattering":[165,185],"model-based":[166],"networks,":[167,170],"fully":[168],"data-driven":[169],"prior-based":[172],"methods,":[174],"our":[175],"avoid":[178],"errors":[180],"associated":[181],"simplified":[184],"provide":[188],"better":[189],"generalization":[190],"ability":[191],"no":[193],"dependence":[194],"prior":[196],"information.":[197],"Extensive":[198],"experiments":[199],"show":[200],"superiority":[202],"various":[207],"state-of-the-art":[208],"methods.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":25},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":26},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":7}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}