{"id":"https://openalex.org/W3021120964","doi":"https://doi.org/10.1145/3293353.3293359","title":"LEDNet","display_name":"LEDNet","publication_year":2018,"publication_date":"2018-12-18","ids":{"openalex":"https://openalex.org/W3021120964","doi":"https://doi.org/10.1145/3293353.3293359","mag":"3021120964"},"language":"en","primary_location":{"id":"doi:10.1145/3293353.3293359","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3293353.3293359","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th Indian Conference on Computer Vision, Graphics and Image Processing","raw_type":"proceedings-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/A5014376368","display_name":"Akshay Dudhane","orcid":"https://orcid.org/0000-0002-0908-1930"},"institutions":[{"id":"https://openalex.org/I119241673","display_name":"Indian Institute of Technology Ropar","ror":"https://ror.org/02qkhhn56","country_code":"IN","type":"education","lineage":["https://openalex.org/I119241673"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Akshay Dudhane","raw_affiliation_strings":["Computer Vision and Pattern Recognition Lab Indian Institute of Technology Ropar, India"],"affiliations":[{"raw_affiliation_string":"Computer Vision and Pattern Recognition Lab Indian Institute of Technology Ropar, India","institution_ids":["https://openalex.org/I119241673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032409915","display_name":"Subrahmanyam Murala","orcid":"https://orcid.org/0000-0003-3384-4368"},"institutions":[{"id":"https://openalex.org/I119241673","display_name":"Indian Institute of Technology Ropar","ror":"https://ror.org/02qkhhn56","country_code":"IN","type":"education","lineage":["https://openalex.org/I119241673"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Subrahmanyam Murala","raw_affiliation_strings":["Computer Vision and Pattern Recognition Lab Indian Institute of Technology Ropar, India"],"affiliations":[{"raw_affiliation_string":"Computer Vision and Pattern Recognition Lab Indian Institute of Technology Ropar, India","institution_ids":["https://openalex.org/I119241673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085376429","display_name":"Abhinav Dhall","orcid":"https://orcid.org/0000-0002-2230-1440"},"institutions":[{"id":"https://openalex.org/I119241673","display_name":"Indian Institute of Technology Ropar","ror":"https://ror.org/02qkhhn56","country_code":"IN","type":"education","lineage":["https://openalex.org/I119241673"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Abhinav Dhall","raw_affiliation_strings":["Learning Affect and Semantic Image Analysis Group, Indian Institute of Technology Ropar, India"],"affiliations":[{"raw_affiliation_string":"Learning Affect and Semantic Image Analysis Group, Indian Institute of Technology Ropar, India","institution_ids":["https://openalex.org/I119241673"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5014376368"],"corresponding_institution_ids":["https://openalex.org/I119241673"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26010885,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9987999796867371,"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":0.9987999796867371,"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/T11963","display_name":"Impact of Light on Environment and Health","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4889353811740875}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4889353811740875}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3293353.3293359","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3293353.3293359","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th Indian Conference on Computer Vision, Graphics and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1528144695","https://openalex.org/W1646589571","https://openalex.org/W1901129140","https://openalex.org/W2002299629","https://openalex.org/W2003709967","https://openalex.org/W2007692451","https://openalex.org/W2028763589","https://openalex.org/W2028990532","https://openalex.org/W2065002911","https://openalex.org/W2067134752","https://openalex.org/W2108598243","https://openalex.org/W2110644821","https://openalex.org/W2114867966","https://openalex.org/W2128254161","https://openalex.org/W2133665775","https://openalex.org/W2256362396","https://openalex.org/W2508509730","https://openalex.org/W2519481857","https://openalex.org/W2938262643","https://openalex.org/W2963629021","https://openalex.org/W2963881378"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655"],"abstract_inverted_index":{"Haze":[0],"during":[1],"the":[2,6,9,20,25,36,51,55,82,94,118,135,139,148,155,174,177,193],"bad":[3],"weather,":[4],"degrades":[5],"visibility":[7,15],"of":[8,13,24,28,60,110,138,143,150,176],"scene":[10,14,83,156],"drastically.":[11],"Degradation":[12],"varies":[16],"with":[17],"respect":[18],"to":[19,34,49,65,133,153,167,172],"transmission":[21,84],"coefficient/map":[22],"(Tc)":[23],"scene.":[26,39,141],"Estimation":[27],"accurate":[29],"Tc":[30,97],"is":[31,131],"key":[32],"step":[33],"reconstruct":[35],"haze":[37,151,183,200],"free":[38],"Previously,":[40],"local":[41,61,76,125],"as":[42,44],"well":[43],"global":[45,63],"priors":[46],"were":[47],"proposed":[48,75,178],"estimate":[50],"Tc.":[52,73,121],"We,":[53],"on":[54,186],"other":[56],"hand,":[57],"propose":[58],"integration":[59],"and":[62,70,102,145,164],"approaches":[64],"learn":[66],"both":[67],"point":[68,95],"level":[69,72,96,113,120],"object":[71,119],"The":[74,106],"encoder":[77],"decoder":[78],"network":[79,92],"(LEDNet)":[80],"estimates":[81,93],"map":[85],"in":[86],"two":[87,112],"stages.":[88],"During":[89],"first":[90],"stage,":[91],"using":[98],"parallel":[99],"convolutional":[100],"filters":[101],"spatial":[103],"invariance":[104],"filtering.":[105],"second":[107],"stage":[108],"comprises":[109],"a":[111],"encoder-decoder":[114],"architecture":[115],"which":[116,130],"anticipates":[117],"We":[122],"also":[123],"propose,":[124],"air-light":[126,136],"estimation":[127],"(LAE)":[128],"algorithm,":[129],"able":[132],"obtain":[134],"component":[137],"outdoor":[140],"Combination":[142],"LEDNet":[144,191],"LAE":[146],"improves":[147],"accuracy":[149],"model":[152],"recover":[154],"radiance.":[157],"Structural":[158],"similarity":[159],"index,":[160],"mean":[161],"square":[162],"error":[163],"peak":[165],"signal":[166],"noise":[168],"ratio":[169],"are":[170],"used":[171],"evaluate":[173],"performance":[175],"approach":[179],"for":[180,197],"single":[181,198],"image":[182,199],"removal.":[184,201],"Experiments":[185],"benchmark":[187],"datasets":[188],"show":[189],"that":[190],"outperforms":[192],"existing":[194],"state-of-the-art":[195],"methods":[196]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2020-05-13T00:00:00"}
