{"id":"https://openalex.org/W3115780611","doi":"https://doi.org/10.1109/icct50939.2020.9295746","title":"Channel Splitting Network for Single Image Dehazing","display_name":"Channel Splitting Network for Single Image Dehazing","publication_year":2020,"publication_date":"2020-10-28","ids":{"openalex":"https://openalex.org/W3115780611","doi":"https://doi.org/10.1109/icct50939.2020.9295746","mag":"3115780611"},"language":"en","primary_location":{"id":"doi:10.1109/icct50939.2020.9295746","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icct50939.2020.9295746","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 20th International Conference on Communication Technology (ICCT)","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/A5023569881","display_name":"Zhiming Su","orcid":"https://orcid.org/0000-0002-1454-598X"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiming Su","raw_affiliation_strings":["School of Computer and Electronic Information, Guangxi University, Nanning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Electronic Information, Guangxi University, Nanning, China","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100744943","display_name":"Lie Wang","orcid":"https://orcid.org/0000-0002-8103-336X"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lie Wang","raw_affiliation_strings":["School of Computer and Electronic Information, Guangxi University, Nanning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Electronic Information, Guangxi University, Nanning, China","institution_ids":["https://openalex.org/I150807315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150807315"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.15649253,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"47","issue":null,"first_page":"1333","last_page":"1337"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9991999864578247,"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/upsampling","display_name":"Upsampling","score":0.7305386662483215},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7035283446311951},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6530855894088745},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6110531091690063},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6051907539367676},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5882510542869568},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5720183253288269},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5331662893295288},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5289528369903564},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5159557461738586},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.509367823600769},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.4619162082672119},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.43974146246910095},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.42319169640541077},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3556900918483734},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2215692102909088},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1823028028011322},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.12982481718063354},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09071320295333862}],"concepts":[{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.7305386662483215},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7035283446311951},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6530855894088745},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6110531091690063},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6051907539367676},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5882510542869568},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5720183253288269},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5331662893295288},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5289528369903564},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5159557461738586},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.509367823600769},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.4619162082672119},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.43974146246910095},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.42319169640541077},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3556900918483734},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2215692102909088},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1823028028011322},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.12982481718063354},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09071320295333862},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"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/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icct50939.2020.9295746","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icct50939.2020.9295746","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 20th International Conference on Communication Technology (ICCT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1990592195","https://openalex.org/W2128254161","https://openalex.org/W2256362396","https://openalex.org/W2331128040","https://openalex.org/W2582488595","https://openalex.org/W2779176852","https://openalex.org/W2941547246","https://openalex.org/W2948606054","https://openalex.org/W2962754725","https://openalex.org/W2963125010","https://openalex.org/W2963306157","https://openalex.org/W2963420686","https://openalex.org/W2963840672","https://openalex.org/W2963928582","https://openalex.org/W2991006905","https://openalex.org/W2998249728","https://openalex.org/W6647720530","https://openalex.org/W6696085341","https://openalex.org/W6702130928","https://openalex.org/W6740474667","https://openalex.org/W6743731764"],"related_works":["https://openalex.org/W2062399876","https://openalex.org/W2607795551","https://openalex.org/W3155117723","https://openalex.org/W1991429770","https://openalex.org/W1983892167","https://openalex.org/W2281134365","https://openalex.org/W4310746709","https://openalex.org/W3149642877","https://openalex.org/W3215923428","https://openalex.org/W4328027016"],"abstract_inverted_index":{"Haze":[0],"affects":[1],"the":[2,14,18,38,44,67,71,85,95,102,122,142],"image":[3,6],"quality":[4,86],"and":[5,32,55,150],"analysis,":[7],"so":[8],"it":[9],"is":[10,99,106],"necessary":[11],"to":[12,28,65],"recover":[13],"undamaged":[15],"content":[16],"from":[17],"blurred":[19],"image.":[20,73],"We":[21,74],"propose":[22,75],"an":[23,76],"end-to-end":[24],"channel":[25,49,57],"splitting":[26,50,58],"network":[27,91,119],"directly":[29],"reconstruct":[30],"clear":[31],"haze-free":[33,88],"images":[34],"without":[35],"relying":[36],"on":[37,108,130],"atmospheric":[39],"scattering":[40],"model.":[41],"By":[42],"introducing":[43],"adjacent":[45],"connection":[46],"network,":[47],"a":[48,56],"residual":[51,96],"1*1":[52],"convolution":[53,61],"module":[54,62],"pyramid":[59],"dilated":[60],"are":[63],"constructed":[64,100],"improve":[66],"detailed":[68],"information":[69],"of":[70,87,97],"reconstructed":[72],"attention":[77],"mechanism":[78],"with":[79,114,137],"local":[80],"features,":[81],"which":[82,105],"further":[83],"improves":[84],"images.":[89],"The":[90],"that":[92,135],"can":[93],"identify":[94],"hazy":[98],"by":[101,125],"above":[103],"modules,":[104],"based":[107],"three":[109],"series":[110],"connected":[111],"U-shaped":[112],"networks":[113],"only":[115],"one":[116],"downsampling.":[117],"This":[118],"optimization":[120],"reconstructs":[121],"loss":[123],"function":[124],"adaptive":[126],"weighting.":[127],"Extensive":[128],"experiments":[129],"RESIDE":[131],"data":[132],"set":[133],"demonstrate":[134],"compared":[136],"several":[138],"selected":[139],"state-of-the-art":[140],"algorithms,":[141],"proposed":[143],"method":[144],"achieves":[145],"significant":[146],"improvement":[147],"in":[148],"quantity":[149],"quality.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
