{"id":"https://openalex.org/W3047161982","doi":null,"title":"Transmission Map and Atmospheric Light Guided Iterative Updater Network for Single Image Dehazing","display_name":"Transmission Map and Atmospheric Light Guided Iterative Updater Network for Single Image Dehazing","publication_year":2020,"publication_date":"2020-08-04","ids":{"openalex":"https://openalex.org/W3047161982","mag":"3047161982"},"language":"en","primary_location":{"id":"mag:3047161982","doi":null,"is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2008.01701","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://export.arxiv.org/pdf/2008.01701","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017373839","display_name":"Aupendu Kar","orcid":"https://orcid.org/0000-0001-5696-5002","observed_orcids":["https://orcid.org/0000-0001-5696-5002"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aupendu Kar","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-5696-5002","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040419737","display_name":"Sobhan Kanti Dhara","orcid":"https://orcid.org/0000-0002-0035-7224","observed_orcids":["https://orcid.org/0000-0002-0035-7224"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sobhan Kanti Dhara","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-0035-7224","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063471945","display_name":"Debashis Sen","orcid":"https://orcid.org/0000-0002-9756-1191","observed_orcids":["https://orcid.org/0000-0002-9756-1191"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Debashis Sen","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-9756-1191","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5004059019","display_name":"Prabir Kumar Biswas","orcid":"https://orcid.org/0000-0002-8922-1306","observed_orcids":["https://orcid.org/0000-0002-8922-1306"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Prabir Kumar Biswas","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-8922-1306","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":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"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/single-image-dehazing","display_name":"single image dehazing","score":0.9670000076293945},{"id":"https://openalex.org/keywords/transmission-map-estimation","display_name":"transmission map estimation","score":0.9789999723434448},{"id":"https://openalex.org/keywords/atmospheric-light-estimation","display_name":"atmospheric light estimation","score":0.9950000047683716},{"id":"https://openalex.org/keywords/color-cast","display_name":"color cast","score":0.7770000100135803},{"id":"https://openalex.org/keywords/hazy-images","display_name":"hazy images","score":0.5609999895095825}],"concepts":[{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.8177260160446167},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7723380327224731},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6737402677536011},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.6525973677635193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6160719990730286},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5976101756095886},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.5451849699020386},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5332332253456116},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5058116912841797},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.4473405182361603},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3221712112426758},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.10881686210632324},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09613615274429321},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08508884906768799},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0784909725189209},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:3047161982","doi":null,"is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2008.01701","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null}],"best_oa_location":{"id":"mag:3047161982","doi":null,"is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2008.01701","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1012273433","https://openalex.org/W1485009520","https://openalex.org/W1522301498","https://openalex.org/W1552073401","https://openalex.org/W1622083366","https://openalex.org/W1686810756","https://openalex.org/W1971693194","https://openalex.org/W1995031544","https://openalex.org/W2000512760","https://openalex.org/W2003709967","https://openalex.org/W2028763589","https://openalex.org/W2028990532","https://openalex.org/W2064675550","https://openalex.org/W2067134752","https://openalex.org/W2097900287","https://openalex.org/W2098985238","https://openalex.org/W2114867966","https://openalex.org/W2123785012","https://openalex.org/W2125188192","https://openalex.org/W2128254161","https://openalex.org/W2133665775","https://openalex.org/W2156936307","https://openalex.org/W2157051025","https://openalex.org/W2214802144","https://openalex.org/W2256362396","https://openalex.org/W2280728065","https://openalex.org/W2331128040","https://openalex.org/W2519481857","https://openalex.org/W2747898905","https://openalex.org/W2751349477","https://openalex.org/W2767420414","https://openalex.org/W2779176852","https://openalex.org/W2795783309","https://openalex.org/W2796347433","https://openalex.org/W2796555273","https://openalex.org/W2805176243","https://openalex.org/W2890894871","https://openalex.org/W2899190185","https://openalex.org/W2901543290","https://openalex.org/W2909208433","https://openalex.org/W2912435603","https://openalex.org/W2913360047","https://openalex.org/W2921932380","https://openalex.org/W2948606054","https://openalex.org/W2948892662","https://openalex.org/W2955731188","https://openalex.org/W2962754725","https://openalex.org/W2962782447","https://openalex.org/W2963306157","https://openalex.org/W2963470893","https://openalex.org/W2963760790","https://openalex.org/W2963928582","https://openalex.org/W2967047368","https://openalex.org/W2981590559","https://openalex.org/W2985030998","https://openalex.org/W2985194834","https://openalex.org/W2989362930","https://openalex.org/W2990007814","https://openalex.org/W2996367318","https://openalex.org/W3009405031","https://openalex.org/W3010637479","https://openalex.org/W3019537064","https://openalex.org/W3028045870","https://openalex.org/W3028365735","https://openalex.org/W3034278302","https://openalex.org/W3041159045","https://openalex.org/W3215985143"],"related_works":["https://openalex.org/W2963751414","https://openalex.org/W4206525860","https://openalex.org/W4287692907","https://openalex.org/W4407736749","https://openalex.org/W2965369866","https://openalex.org/W2890894871","https://openalex.org/W2897189194","https://openalex.org/W3152822515","https://openalex.org/W2963306157","https://openalex.org/W4390071523"],"abstract_inverted_index":{"Hazy":[0],"images":[1,176],"obscure":[2],"content":[3],"visibility":[4],"and":[5,35,109,167,173,181,193],"hinder":[6],"several":[7],"subsequent":[8],"computer":[9],"vision":[10],"tasks.":[11],"For":[12],"dehazing":[13,86],"in":[14,100],"a":[15,57,64,151],"wide":[16],"variety":[17],"of":[18,89,146,188],"hazy":[19,101,136,175,179],"conditions,":[20,180],"an":[21,48,76],"end-to-end":[22],"deep":[23],"network":[24,95,154],"jointly":[25,141],"estimating":[26],"the":[27,85,106,129,135,143,147,184],"dehazed":[28,148],"image":[29,149],"along":[30,74],"with":[31,75,142,155],"suitable":[32],"transmission":[33,78,107],"map":[34,79,108],"atmospheric":[36,71,91,110],"light":[37,92,111],"for":[38,84,171],"guidance":[39],"could":[40],"prove":[41],"effective.":[42],"To":[43],"this":[44],"end,":[45],"we":[46],"propose":[47],"Iterative":[49],"Prior":[50],"Updated":[51],"Dehazing":[52],"Network":[53],"(IPUDN)":[54],"based":[55],"on":[56],"novel":[58,65,118],"iterative":[59,122,144],"update":[60],"framework.":[61],"We":[62],"present":[63],"convolutional":[66,152],"architecture":[67],"to":[68,96,126],"estimate":[69],"channel-wise":[70,90],"light,":[72],"which":[73,159],"estimated":[77],"are":[80,113,197],"used":[81],"as":[82],"priors":[83],"network.":[87],"Use":[88],"allows":[93],"our":[94,104],"handle":[97],"color":[98],"casts":[99],"images.":[102],"In":[103],"IPUDN,":[105],"estimates":[112,130],"updated":[114],"iteratively":[115],"using":[116,150],"corresponding":[117],"updater":[119],"networks.":[120],"The":[121],"mechanism":[123],"is":[124,165],"leveraged":[125],"gradually":[127],"modify":[128],"toward":[131],"those":[132],"appropriately":[133],"representing":[134],"condition.":[137],"These":[138],"updates":[139],"occur":[140],"estimation":[145],"neural":[153],"LSTM":[156],"driven":[157],"recurrence,":[158],"introduces":[160],"inter-iteration":[161],"dependencies.":[162],"Our":[163],"approach":[164],"qualitatively":[166],"quantitatively":[168],"found":[169],"effective":[170],"synthetic":[172],"real-world":[174],"depicting":[177],"varied":[178],"it":[182],"outperforms":[183],"state-of-the-art.":[185],"Thorough":[186],"analyses":[187],"IPUDN":[189],"through":[190],"additional":[191],"experiments":[192],"detailed":[194],"ablation":[195],"studies":[196],"also":[198],"presented.":[199]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2020-08-10T00:00:00"}