{"id":"https://openalex.org/W2902643381","doi":"https://doi.org/10.1109/icpr.2018.8545408","title":"Single-image Dehazing Algorithm Based on Convolutional Neural Networks","display_name":"Single-image Dehazing Algorithm Based on Convolutional Neural Networks","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2902643381","doi":"https://doi.org/10.1109/icpr.2018.8545408","mag":"2902643381"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2018.8545408","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545408","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","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/A5085306541","display_name":"Jinsheng Xiao","orcid":"https://orcid.org/0000-0002-5403-1895"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jinsheng Xiao","raw_affiliation_strings":["Collaborative Innovation Center of Geospatial Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Geospatial Technology, Wuhan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101930605","display_name":"Li Luo","orcid":"https://orcid.org/0000-0003-0725-7143"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Luo","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002356939","display_name":"Enyu Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enyu liu","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042546741","display_name":"Junfeng Lei","orcid":"https://orcid.org/0000-0001-5492-0011"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junfeng Lei","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087111199","display_name":"Reinhard Klette","orcid":"https://orcid.org/0000-0001-8818-7145"},"institutions":[{"id":"https://openalex.org/I39854758","display_name":"Auckland University of Technology","ror":"https://ror.org/01zvqw119","country_code":"NZ","type":"education","lineage":["https://openalex.org/I39854758"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Reinhard Klette","raw_affiliation_strings":["Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand"],"affiliations":[{"raw_affiliation_string":"Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand","institution_ids":["https://openalex.org/I39854758"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5085306541"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3134,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63325054,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"33","issue":null,"first_page":"1259","last_page":"1264"},"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":0.992900013923645,"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":0.9909999966621399,"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/haze","display_name":"Haze","score":0.8582132458686829},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7974874973297119},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7507857084274292},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6720660328865051},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6529181599617004},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5422407984733582},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5251412391662598},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4969044029712677},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4898938536643982},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44653478264808655},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.42510056495666504},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39140209555625916},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.24345707893371582},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.05436179041862488}],"concepts":[{"id":"https://openalex.org/C79974267","wikidata":"https://www.wikidata.org/wiki/Q643546","display_name":"Haze","level":2,"score":0.8582132458686829},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7974874973297119},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7507857084274292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6720660328865051},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6529181599617004},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5422407984733582},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5251412391662598},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4969044029712677},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4898938536643982},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44653478264808655},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.42510056495666504},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39140209555625916},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.24345707893371582},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.05436179041862488},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2018.8545408","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545408","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W63091017","https://openalex.org/W1677182931","https://openalex.org/W1885185971","https://openalex.org/W2027437018","https://openalex.org/W2125188192","https://openalex.org/W2128254161","https://openalex.org/W2156936307","https://openalex.org/W2242218935","https://openalex.org/W2256362396","https://openalex.org/W2293894573","https://openalex.org/W2519481857","https://openalex.org/W2617945016","https://openalex.org/W2774250990","https://openalex.org/W2779176852","https://openalex.org/W2792829624","https://openalex.org/W6690498163","https://openalex.org/W6726979445"],"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/W2964624622","https://openalex.org/W2388134306","https://openalex.org/W2041196008"],"abstract_inverted_index":{"The":[0,136],"paper":[1],"proposes":[2],"a":[3,11,61,112,133],"new":[4],"single":[5],"image":[6,49,56,64,129],"dehazing":[7,152],"method":[8,16],"based":[9],"on":[10,140,163],"convolutional":[12,43],"neural":[13,44],"network.":[14],"Our":[15],"directly":[17,82],"learns":[18],"an":[19,51,58],"end":[20,22],"to":[21,81,115,119,132],"mapping":[23],"between":[24,36],"the":[25,47,54,70,73,79,84,99,103,127,157],"haze":[26,31,37,48,74,86,105],"images":[27,35,38,142],"and":[28,39,53,97,122,166,170],"their":[29],"corresponding":[30],"layers":[32],"(i.e.":[33],"residual":[34,55,71],"non-haze":[40],"images).":[41],"A":[42],"network":[45,80],"takes":[46],"as":[50,57],"input":[52],"output.":[59],"Then,":[60],"recovered":[62,128],"dehazed":[63],"can":[65],"be":[66],"obtained":[67],"by":[68],"removing":[69],"from":[72],"image.":[75],"Residual":[76],"learning":[77,91],"allows":[78],"estimate":[83],"initial":[85,104],"layer":[87,106,118],"with":[88,143,150],"relatively":[89],"high":[90],"rates,":[92],"which":[93,125],"reduce":[94],"computational":[95],"complexity":[96],"speed-up":[98],"convergence":[100],"process.":[101],"Since":[102],"is":[107],"only":[108],"approximate,":[109],"we":[110],"use":[111],"guided":[113],"filter":[114],"refine":[116],"this":[117],"avoid":[120],"halos":[121],"block":[123],"artefacts,":[124],"makes":[126],"more":[130],"similar":[131],"real":[134],"scene.":[135],"algorithms":[137],"are":[138,148],"tested":[139],"fog":[141,145],"different":[144],"densities.":[146],"Comparisons":[147],"provided":[149],"other":[151],"algorithms.":[153],"Experiments":[154],"demonstrate":[155],"that":[156],"proposed":[158],"algorithm":[159],"outperforms":[160],"state-of-the-art":[161],"methods":[162],"both":[164],"synthetic":[165],"real-world":[167],"images,":[168],"qualitatively":[169],"quantitatively.":[171]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}