{"id":"https://openalex.org/W2361596696","doi":"https://doi.org/10.1109/icics.2015.7459885","title":"Haze detection and haze degree estimation using dark channels and contrast histograms","display_name":"Haze detection and haze degree estimation using dark channels and contrast histograms","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2361596696","doi":"https://doi.org/10.1109/icics.2015.7459885","mag":"2361596696"},"language":"en","primary_location":{"id":"doi:10.1109/icics.2015.7459885","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icics.2015.7459885","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 10th International Conference on Information, Communications and Signal Processing (ICICS)","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/A5066049719","display_name":"Chi-Wei Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chi-Wei Wang","raw_affiliation_strings":["Graduate Institute of Communication Engineering, National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Graduate Institute of Communication Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022371410","display_name":"Jian\u2013Jiun Ding","orcid":"https://orcid.org/0000-0003-4510-2273"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jian-Jiun Ding","raw_affiliation_strings":["Graduate Institute of Communication Engineering, National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Graduate Institute of Communication Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":null,"display_name":"Li-Ang Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Li-Ang Chen","raw_affiliation_strings":["Graduate Institute of Communication Engineering, National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Graduate Institute of Communication Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5066049719"],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":0.1872,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63036163,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9973999857902527,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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":0.9770550727844238},{"id":"https://openalex.org/keywords/mist","display_name":"Mist","score":0.7577160596847534},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5883041620254517},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5825552940368652},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5070879459381104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5065878629684448},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49538862705230713},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4003596305847168},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11545935273170471},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.05582532286643982}],"concepts":[{"id":"https://openalex.org/C79974267","wikidata":"https://www.wikidata.org/wiki/Q643546","display_name":"Haze","level":2,"score":0.9770550727844238},{"id":"https://openalex.org/C6831451","wikidata":"https://www.wikidata.org/wiki/Q192196","display_name":"Mist","level":2,"score":0.7577160596847534},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5883041620254517},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5825552940368652},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5070879459381104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5065878629684448},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49538862705230713},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4003596305847168},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11545935273170471},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.05582532286643982}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icics.2015.7459885","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icics.2015.7459885","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 10th International Conference on Information, Communications and Signal Processing (ICICS)","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/W1528989606","https://openalex.org/W2005801478","https://openalex.org/W2017814585","https://openalex.org/W2026203852","https://openalex.org/W2097998348","https://openalex.org/W2109616376","https://openalex.org/W2109943925","https://openalex.org/W2114867966","https://openalex.org/W2119821739","https://openalex.org/W2128254161","https://openalex.org/W2132947399","https://openalex.org/W2134774992","https://openalex.org/W2153635508","https://openalex.org/W4239510810","https://openalex.org/W4321466059","https://openalex.org/W6631921216","https://openalex.org/W6674385629"],"related_works":["https://openalex.org/W2358279768","https://openalex.org/W2383291219","https://openalex.org/W2349572614","https://openalex.org/W2367041282","https://openalex.org/W2023900323","https://openalex.org/W2472801082","https://openalex.org/W2048390140","https://openalex.org/W2391634122","https://openalex.org/W2397673276","https://openalex.org/W2978117182"],"abstract_inverted_index":{"Haze":[0],"and":[1,23,45,57,99,119,142],"mist":[2,118,136],"always":[3],"affect":[4],"the":[5,19,24,29,41,55,60,66,95,104,120,123,128,134,145],"quality":[6],"of":[7,43,97,122,148],"vision.":[8],"If":[9],"an":[10,49,78,91,111],"image":[11,25,50,79,112,137,141],"is":[12,21,51,73,80,113],"suffered":[13,53,81],"from":[14,54,82,138],"haze":[15,35,44,56,61,83,116,146],"or":[16,84,117],"mist,":[17,58],"then":[18],"object":[20],"unclear":[22],"seems":[26],"whiter":[27],"than":[28],"original":[30],"one.":[31],"There":[32],"are":[33],"several":[34],"removal":[36,62],"algorithms":[37],"that":[38,93,127],"can":[39,131],"reduce":[40],"effect":[42],"mist.":[46,85],"However,":[47],"if":[48],"not":[52],"applying":[59],"algorithm":[63,92,130],"may":[64],"darken":[65],"image.":[67,150],"Therefore,":[68],"in":[69],"computer":[70],"vision,":[71],"it":[72],"important":[74],"to":[75,108],"determine":[76,109,144],"whether":[77,110],"In":[86],"this":[87],"paper,":[88],"we":[89],"propose":[90],"applies":[94],"histograms":[96],"contrast":[98],"dark":[100],"channels":[101],"together":[102],"with":[103],"support":[105],"vector":[106],"machine":[107],"interfered":[114],"by":[115],"degree":[121,147],"interference.":[124],"Simulations":[125],"show":[126],"proposed":[129],"well":[132],"distinguish":[133],"haze/":[135],"a":[139],"normal":[140],"accurately":[143],"each":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}