{"id":"https://openalex.org/W2902877072","doi":"https://doi.org/10.1109/icpr.2018.8545318","title":"Joint Haze-relevant Features Selection and Transmission Estimation via Deep Belief Network for Efficient Single Image Dehazing","display_name":"Joint Haze-relevant Features Selection and Transmission Estimation via Deep Belief Network for Efficient Single Image Dehazing","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2902877072","doi":"https://doi.org/10.1109/icpr.2018.8545318","mag":"2902877072"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2018.8545318","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545318","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/A5055621451","display_name":"Zhigang Ling","orcid":"https://orcid.org/0000-0002-4752-769X"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhigang Ling","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073928385","display_name":"Xiuxin Li","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuxin Li","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110586354","display_name":"Wen Zou","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Zou","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100343854","display_name":"Min Liu","orcid":"https://orcid.org/0000-0001-6406-4896"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Liu","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5055621451"],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":0.2089,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56939092,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"13","issue":null,"first_page":"133","last_page":"139"},"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":0.9968000054359436,"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":0.9948999881744385,"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/computer-science","display_name":"Computer science","score":0.7858945727348328},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7124942541122437},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.601539134979248},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5774394869804382},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5753368139266968},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.5338177680969238},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5315582156181335},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.51076340675354},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5082425475120544},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5061847567558289},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47933611273765564},{"id":"https://openalex.org/keywords/haze","display_name":"Haze","score":0.44295746088027954},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.42633700370788574},{"id":"https://openalex.org/keywords/binary-image","display_name":"Binary image","score":0.4158930778503418},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3225212097167969},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1081787645816803}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7858945727348328},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7124942541122437},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.601539134979248},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5774394869804382},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5753368139266968},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.5338177680969238},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5315582156181335},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.51076340675354},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5082425475120544},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5061847567558289},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47933611273765564},{"id":"https://openalex.org/C79974267","wikidata":"https://www.wikidata.org/wiki/Q643546","display_name":"Haze","level":2,"score":0.44295746088027954},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.42633700370788574},{"id":"https://openalex.org/C193828747","wikidata":"https://www.wikidata.org/wiki/Q864118","display_name":"Binary image","level":4,"score":0.4158930778503418},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3225212097167969},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1081787645816803},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2018.8545318","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545318","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":36,"referenced_works":["https://openalex.org/W146732357","https://openalex.org/W1552073401","https://openalex.org/W1808644423","https://openalex.org/W1932847118","https://openalex.org/W1968422401","https://openalex.org/W1971693194","https://openalex.org/W1990592195","https://openalex.org/W1998363013","https://openalex.org/W2000596401","https://openalex.org/W2028990532","https://openalex.org/W2031624349","https://openalex.org/W2065002911","https://openalex.org/W2072026441","https://openalex.org/W2097900287","https://openalex.org/W2109616376","https://openalex.org/W2121880036","https://openalex.org/W2131908028","https://openalex.org/W2133665775","https://openalex.org/W2154053567","https://openalex.org/W2156936307","https://openalex.org/W2165700458","https://openalex.org/W2171837816","https://openalex.org/W2253609413","https://openalex.org/W2256362396","https://openalex.org/W2344681634","https://openalex.org/W2398606097","https://openalex.org/W2508509730","https://openalex.org/W2519481857","https://openalex.org/W2576444478","https://openalex.org/W2596670562","https://openalex.org/W2998216295","https://openalex.org/W4285719527","https://openalex.org/W6605960250","https://openalex.org/W6638249342","https://openalex.org/W6647720530","https://openalex.org/W6726979445"],"related_works":["https://openalex.org/W2156571267","https://openalex.org/W3186605777","https://openalex.org/W3107295340","https://openalex.org/W2574769845","https://openalex.org/W146855993","https://openalex.org/W2220864757","https://openalex.org/W3080815883","https://openalex.org/W2794758705","https://openalex.org/W1984518505","https://openalex.org/W2619953286"],"abstract_inverted_index":{"Haze-relevant":[0],"image":[1,15,46,49,73,137],"features":[2,23,47,121,134],"are":[3],"widely":[4],"used":[5],"in":[6,84,87,97,129],"haze":[7],"density":[8],"perception":[9],"and":[10,39,61,122,138],"transmission":[11,62],"estimation":[12,63],"for":[13,48,72],"single":[14],"dehazing,":[16],"since":[17],"hazy":[18,136],"images":[19],"usually":[20],"have":[21],"distinct":[22],"or":[24],"characters":[25],"from":[26],"clean":[27],"images.":[28],"However,":[29],"little":[30],"attention":[31],"has":[32],"been":[33],"paid":[34],"to":[35,94,111,131],"identify":[36,132],"haze-relevant":[37,133],"features,":[38],"further":[40],"select":[41],"some":[42],"compact":[43],"but":[44],"informative":[45],"dehazing.":[50,74],"In":[51],"this":[52],"paper,":[53],"we":[54,76],"propose":[55],"a":[56,78,101,105,164],"novel":[57],"joint":[58,152],"feature":[59,81,91,126],"selection":[60,82],"model":[64],"named":[65],"JFSTE":[66],"via":[67],"Deep":[68],"Belief":[69],"Network":[70],"(DBN)":[71],"First,":[75],"develop":[77],"one-to-one":[79],"linear":[80],"layer":[83,99],"the":[85,118,123,143,151],"DBN,":[86],"which":[88],"each":[89],"input":[90],"only":[92],"connects":[93],"one":[95],"node":[96],"next":[98],"with":[100,160],"binary":[102,114],"weight.":[103],"Meanwhile,":[104],"simple":[106],"feature-selection":[107],"strategy":[108],"is":[109,148],"proposed":[110,169],"determine":[112],"these":[113],"weights":[115],"by":[116],"considering":[117],"importance":[119],"of":[120,135,154,167],"expected":[124],"selected":[125],"numbers.":[127],"Second,":[128],"order":[130],"narrow":[139],"down":[140],"their":[141],"relevance,":[142],"minimum":[144],"redundancy":[145],"maximum":[146],"relevancy":[147],"introduced":[149],"into":[150],"optimization":[153],"our":[155,168],"network.":[156],"A":[157],"comparative":[158],"study":[159],"state-of-the-art":[161],"approaches":[162],"manifests":[163],"competitive":[165],"performance":[166],"method.":[170]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
