{"id":"https:\/\/openalex.org\/W3013652328","doi":"https:\/\/doi.org\/10.1109\/access.2020.2982910","title":"Image Haze Removal Based on Superpixels and Markov Random Field","display_name":"Image Haze Removal Based on Superpixels and Markov Random Field","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https:\/\/openalex.org\/W3013652328","doi":"https:\/\/doi.org\/10.1109\/access.2020.2982910","mag":"3013652328"},"language":"en","primary_location":{"id":"doi:10.1109\/access.2020.2982910","is_oa":true,"landing_page_url":"https:\/\/doi.org\/10.1109\/access.2020.2982910","pdf_url":"https:\/\/ieeexplore.ieee.org\/ielx7\/6287639\/8948470\/09046040.pdf","source":{"id":"https:\/\/openalex.org\/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https:\/\/openalex.org\/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https:\/\/openalex.org\/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https:\/\/openalex.org\/licenses\/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https:\/\/ieeexplore.ieee.org\/ielx7\/6287639\/8948470\/09046040.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https:\/\/openalex.org\/A5053149056","display_name":"Yibo Tan","orcid":"https:\/\/orcid.org\/0000-0002-3346-1693"},"institutions":[{"id":"https:\/\/openalex.org\/I59028903","display_name":"Ocean University of China","ror":"https:\/\/ror.org\/04rdtx186","country_code":"CN","type":"education","lineage":["https:\/\/openalex.org\/I59028903"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yibo Tan","raw_affiliation_strings":["College of Information Science and Engineering, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ocean University of China, Qingdao, China","institution_ids":["https:\/\/openalex.org\/I59028903"]}]},{"author_position":"last","author":{"id":"https:\/\/openalex.org\/A5041332993","display_name":"Guoyu Wang","orcid":"https:\/\/orcid.org\/0000-0002-6583-2962"},"institutions":[{"id":"https:\/\/openalex.org\/I59028903","display_name":"Ocean University of China","ror":"https:\/\/ror.org\/04rdtx186","country_code":"CN","type":"education","lineage":["https:\/\/openalex.org\/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoyu Wang","raw_affiliation_strings":["College of Information Science and Engineering, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ocean University of China, Qingdao, China","institution_ids":["https:\/\/openalex.org\/I59028903"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https:\/\/openalex.org\/A5053149056"],"corresponding_institution_ids":["https:\/\/openalex.org\/I59028903"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.7851,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.73784541,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"8","issue":null,"first_page":"60728","last_page":"60736"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https:\/\/openalex.org\/T11019","display_name":"Image Enhancement Techniques","score":1,"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,"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":0.9975000023841858,"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":0.9915000200271606,"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\/computer-science","display_name":"Computer science","score":0.7837858200073242},{"id":"https:\/\/openalex.org\/keywords\/markov-random-field","display_name":"Markov random field","score":0.7213321924209595},{"id":"https:\/\/openalex.org\/keywords\/artificial-intelligence","display_name":"Artificial intelligence","score":0.6700860261917114},{"id":"https:\/\/openalex.org\/keywords\/block","display_name":"Block (permutation group theory)","score":0.650901198387146},{"id":"https:\/\/openalex.org\/keywords\/haze","display_name":"Haze","score":0.5761163234710693},{"id":"https:\/\/openalex.org\/keywords\/image","display_name":"Image (mathematics)","score":0.575253427028656},{"id":"https:\/\/openalex.org\/keywords\/transmission","display_name":"Transmission (telecommunications)","score":0.5412764549255371},{"id":"https:\/\/openalex.org\/keywords\/markov-chain","display_name":"Markov chain","score":0.5355676412582397},{"id":"https:\/\/openalex.org\/keywords\/computer-vision","display_name":"Computer vision","score":0.5186559557914734},{"id":"https:\/\/openalex.org\/keywords\/domain","display_name":"Domain (mathematical analysis)","score":0.48780253529548645},{"id":"https:\/\/openalex.org\/keywords\/field","display_name":"Field (mathematics)","score":0.48526737093925476},{"id":"https:\/\/openalex.org\/keywords\/random-field","display_name":"Random field","score":0.4697817862033844},{"id":"https:\/\/openalex.org\/keywords\/markov-process","display_name":"Markov process","score":0.46924614906311035},{"id":"https:\/\/openalex.org\/keywords\/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41076529026031494},{"id":"https:\/\/openalex.org\/keywords\/image-segmentation","display_name":"Image segmentation","score":0.25333285331726074},{"id":"https:\/\/openalex.org\/keywords\/mathematics","display_name":"Mathematics","score":0.1505039632320404},{"id":"https:\/\/openalex.org\/keywords\/machine-learning","display_name":"Machine learning","score":0.09679567813873291},{"id":"https:\/\/openalex.org\/keywords\/geography","display_name":"Geography","score":0.07808375358581543},{"id":"https:\/\/openalex.org\/keywords\/statistics","display_name":"Statistics","score":0.05891519784927368}],"concepts":[{"id":"https:\/\/openalex.org\/C41008148","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q21198","display_name":"Computer science","level":0,"score":0.7837858200073242},{"id":"https:\/\/openalex.org\/C2778045648","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q176827","display_name":"Markov random field","level":4,"score":0.7213321924209595},{"id":"https:\/\/openalex.org\/C154945302","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6700860261917114},{"id":"https:\/\/openalex.org\/C2777210771","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.650901198387146},{"id":"https:\/\/openalex.org\/C79974267","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q643546","display_name":"Haze","level":2,"score":0.5761163234710693},{"id":"https:\/\/openalex.org\/C115961682","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q860623","display_name":"Image (mathematics)","level":2,"score":0.575253427028656},{"id":"https:\/\/openalex.org\/C761482","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.5412764549255371},{"id":"https:\/\/openalex.org\/C98763669","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q176645","display_name":"Markov chain","level":2,"score":0.5355676412582397},{"id":"https:\/\/openalex.org\/C31972630","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q844240","display_name":"Computer vision","level":1,"score":0.5186559557914734},{"id":"https:\/\/openalex.org\/C36503486","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.48780253529548645},{"id":"https:\/\/openalex.org\/C9652623","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q190109","display_name":"Field (mathematics)","level":2,"score":0.48526737093925476},{"id":"https:\/\/openalex.org\/C130402806","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q5361768","display_name":"Random field","level":2,"score":0.4697817862033844},{"id":"https:\/\/openalex.org\/C159886148","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q176645","display_name":"Markov process","level":2,"score":0.46924614906311035},{"id":"https:\/\/openalex.org\/C153180895","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41076529026031494},{"id":"https:\/\/openalex.org\/C124504099","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q56933","display_name":"Image segmentation","level":3,"score":0.25333285331726074},{"id":"https:\/\/openalex.org\/C33923547","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q395","display_name":"Mathematics","level":0,"score":0.1505039632320404},{"id":"https:\/\/openalex.org\/C119857082","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q2539","display_name":"Machine learning","level":1,"score":0.09679567813873291},{"id":"https:\/\/openalex.org\/C205649164","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q1071","display_name":"Geography","level":0,"score":0.07808375358581543},{"id":"https:\/\/openalex.org\/C105795698","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q12483","display_name":"Statistics","level":1,"score":0.05891519784927368},{"id":"https:\/\/openalex.org\/C153294291","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q25261","display_name":"Meteorology","level":1,"score":0},{"id":"https:\/\/openalex.org\/C76155785","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q418","display_name":"Telecommunications","level":1,"score":0},{"id":"https:\/\/openalex.org\/C2524010","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q8087","display_name":"Geometry","level":1,"score":0},{"id":"https:\/\/openalex.org\/C134306372","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q7754","display_name":"Mathematical analysis","level":1,"score":0},{"id":"https:\/\/openalex.org\/C202444582","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q837863","display_name":"Pure mathematics","level":1,"score":0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109\/access.2020.2982910","is_oa":true,"landing_page_url":"https:\/\/doi.org\/10.1109\/access.2020.2982910","pdf_url":"https:\/\/ieeexplore.ieee.org\/ielx7\/6287639\/8948470\/09046040.pdf","source":{"id":"https:\/\/openalex.org\/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https:\/\/openalex.org\/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https:\/\/openalex.org\/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https:\/\/openalex.org\/licenses\/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org\/article:a09ce9411daa49a5ac491306854abaca","is_oa":true,"landing_page_url":"https:\/\/doaj.org\/article\/a09ce9411daa49a5ac491306854abaca","pdf_url":null,"source":{"id":"https:\/\/openalex.org\/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https:\/\/openalex.org\/licenses\/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 60728-60736 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109\/access.2020.2982910","is_oa":true,"landing_page_url":"https:\/\/doi.org\/10.1109\/access.2020.2982910","pdf_url":"https:\/\/ieeexplore.ieee.org\/ielx7\/6287639\/8948470\/09046040.pdf","source":{"id":"https:\/\/openalex.org\/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https:\/\/openalex.org\/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https:\/\/openalex.org\/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https:\/\/openalex.org\/licenses\/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8299999833106995,"id":"https:\/\/metadata.un.org\/sdg\/11"}],"awards":[{"id":"https:\/\/openalex.org\/G233489890","display_name":null,"funder_award_id":"61571407","funder_id":"https:\/\/openalex.org\/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https:\/\/openalex.org\/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https:\/\/ror.org\/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https:\/\/content.openalex.org\/works\/W3013652328.pdf","grobid_xml":"https:\/\/content.openalex.org\/works\/W3013652328.grobid-xml"},"referenced_works_count":44,"referenced_works":["https:\/\/openalex.org\/W63091017","https:\/\/openalex.org\/W1554544485","https:\/\/openalex.org\/W1971693194","https:\/\/openalex.org\/W1977615513","https:\/\/openalex.org\/W1979666307","https:\/\/openalex.org\/W1998363013","https:\/\/openalex.org\/W2003709967","https:\/\/openalex.org\/W2006798618","https:\/\/openalex.org\/W2028990532","https:\/\/openalex.org\/W2080713489","https:\/\/openalex.org\/W2097900287","https:\/\/openalex.org\/W2101126615","https:\/\/openalex.org\/W2104974755","https:\/\/openalex.org\/W2109616376","https:\/\/openalex.org\/W2110644821","https:\/\/openalex.org\/W2114867966","https:\/\/openalex.org\/W2118246710","https:\/\/openalex.org\/W2121880036","https:\/\/openalex.org\/W2125188192","https:\/\/openalex.org\/W2128254161","https:\/\/openalex.org\/W2137350520","https:\/\/openalex.org\/W2141030717","https:\/\/openalex.org\/W2143516773","https:\/\/openalex.org\/W2147318913","https:\/\/openalex.org\/W2155479981","https:\/\/openalex.org\/W2155586404","https:\/\/openalex.org\/W2156936307","https:\/\/openalex.org\/W2164847484","https:\/\/openalex.org\/W2401781956","https:\/\/openalex.org\/W2467473805","https:\/\/openalex.org\/W2518406459","https:\/\/openalex.org\/W2536722097","https:\/\/openalex.org\/W2576444478","https:\/\/openalex.org\/W2617975807","https:\/\/openalex.org\/W2731436193","https:\/\/openalex.org\/W2737986825","https:\/\/openalex.org\/W2762788843","https:\/\/openalex.org\/W2782194610","https:\/\/openalex.org\/W2787824909","https:\/\/openalex.org\/W2892730469","https:\/\/openalex.org\/W2948260310","https:\/\/openalex.org\/W2979261558","https:\/\/openalex.org\/W2994148576","https:\/\/openalex.org\/W3184458996"],"related_works":["https:\/\/openalex.org\/W2379651310","https:\/\/openalex.org\/W2113019827","https:\/\/openalex.org\/W1541249122","https:\/\/openalex.org\/W2413828414","https:\/\/openalex.org\/W4236062181","https:\/\/openalex.org\/W4233015508","https:\/\/openalex.org\/W987019958","https:\/\/openalex.org\/W2367222340","https:\/\/openalex.org\/W2078379274","https:\/\/openalex.org\/W2030382593"],"abstract_inverted_index":{"Image":[0],"haze":[1],"removal":[2],"is":[3,10,88],"critical":[4],"for":[5,14],"autonomous":[6],"driving.":[7],"However,":[8],"it":[9],"a":[11,45],"challenging":[12],"task":[13],"the":[15,22,59,63,68,78,82,90,102,106,111,120],"existing":[16],"image":[17,125],"dehazing":[18,48,126],"algorithms":[19],"to":[20,30,66,76],"eliminate":[21,67],"block":[23],"effect":[24,70],"completely":[25],"and":[26,36,53,71,110],"handle":[27],"objects":[28,35],"similar":[29],"light":[31],"(such":[32],"as":[33],"snowy":[34],"white":[37],"buildings).":[38],"To":[39],"address":[40],"this":[41],"problem,":[42],"we":[43],"propose":[44],"novel":[46],"single-image":[47],"method":[49,122],"based":[50],"on":[51],"superpixels":[52,109],"Markov":[54,73],"random":[55,74],"field.":[56],"We":[57],"obtain":[58],"transmission":[60,79],"map":[61,80],"in":[62,81],"superpixel":[64,83],"domain":[65],"block\/halo":[69],"introduce":[72],"field":[75],"revise":[77],"domain.":[84],"The":[85,115],"key":[86],"idea":[87],"that":[89,119],"sparsely":[91],"distributed,":[92],"incorrectly":[93,107],"estimated":[94,108],"transmittances":[95],"can":[96],"be":[97],"corrected":[98],"by":[99],"properly":[100],"characterizing":[101],"spatial":[103],"dependencies":[104],"between":[105],"neighbouring":[112],"well-estimated":[113],"superpixels.":[114],"experimental":[116],"results":[117],"demonstrate":[118],"proposed":[121],"outperforms":[123],"state-of-the-art":[124],"methods.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}