{"id":"https://openalex.org/W2883581904","doi":"https://doi.org/10.1109/tmm.2018.2856095","title":"Detail Preserved Single Image Dehazing Algorithm Based on Airlight Refinement","display_name":"Detail Preserved Single Image Dehazing Algorithm Based on Airlight Refinement","publication_year":2018,"publication_date":"2018-07-13","ids":{"openalex":"https://openalex.org/W2883581904","doi":"https://doi.org/10.1109/tmm.2018.2856095","mag":"2883581904"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2018.2856095","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2018.2856095","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-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/A5103635517","display_name":"Yuanyuan Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Gao","raw_affiliation_strings":["Beijing Key Laboratory of Digital Media, the School of Computer Science and Engineering, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Digital Media, the School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071329803","display_name":"Hai\u2010Miao Hu","orcid":"https://orcid.org/0000-0001-6811-9209"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai-Miao Hu","raw_affiliation_strings":["Beijing Key Laboratory of Digital Media, the School of Computer Science and Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6811-9209","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Digital Media, the School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100758169","display_name":"Bo Li","orcid":"https://orcid.org/0000-0001-5980-4861"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Li","raw_affiliation_strings":["Beijing Key Laboratory of Digital Media, the School of Computer Science and Engineering, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Digital Media, the School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101424384","display_name":"Qiang Guo","orcid":"https://orcid.org/0000-0003-0462-1413"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Guo","raw_affiliation_strings":["Beijing Key Laboratory of Digital Media, the School of Computer Science and Engineering, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Digital Media, the School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085955762","display_name":"Shiliang Pu","orcid":"https://orcid.org/0000-0001-5269-7821"},"institutions":[{"id":"https://openalex.org/I4401727007","display_name":"Hikvision (China)","ror":"https://ror.org/02jzypx27","country_code":null,"type":"company","lineage":["https://openalex.org/I4401727007"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiliang Pu","raw_affiliation_strings":["Hangzhou Hikvision Digital Technology Co. Ltd., Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Hikvision Digital Technology Co. Ltd., Hangzhou, China","institution_ids":["https://openalex.org/I4401727007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0659,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.88190879,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"21","issue":"2","first_page":"351","last_page":"362"},"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":0.9987000226974487,"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":0.9957000017166138,"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/sharpening","display_name":"Sharpening","score":0.8315944671630859},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8023383021354675},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6036434173583984},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5764338970184326},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.570712685585022},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5047255754470825},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.46497535705566406},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4313352704048157},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.41944313049316406},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.36725765466690063},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3322230577468872}],"concepts":[{"id":"https://openalex.org/C2781137444","wikidata":"https://www.wikidata.org/wiki/Q237105","display_name":"Sharpening","level":2,"score":0.8315944671630859},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8023383021354675},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6036434173583984},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5764338970184326},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.570712685585022},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5047255754470825},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.46497535705566406},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4313352704048157},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.41944313049316406},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.36725765466690063},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3322230577468872},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2018.2856095","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2018.2856095","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5299999713897705}],"awards":[{"id":"https://openalex.org/G3135251531","display_name":null,"funder_award_id":"2016YFC0801003","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5795226039","display_name":null,"funder_award_id":"61421003,","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6830555011","display_name":"\u9762\u5411\u5ba4\u5916\u89c6\u9891\u76d1\u63a7\u7684\u56fe\u50cf\u589e\u5f3a\u6280\u672f\u7814\u7a76","funder_award_id":"61772058","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"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W63091017","https://openalex.org/W125693051","https://openalex.org/W168460524","https://openalex.org/W1552073401","https://openalex.org/W1971014006","https://openalex.org/W1979666307","https://openalex.org/W1989919153","https://openalex.org/W1998363013","https://openalex.org/W2000596401","https://openalex.org/W2001412060","https://openalex.org/W2010557905","https://openalex.org/W2013220000","https://openalex.org/W2028763589","https://openalex.org/W2037012979","https://openalex.org/W2037966277","https://openalex.org/W2081418206","https://openalex.org/W2085744236","https://openalex.org/W2097900287","https://openalex.org/W2109616376","https://openalex.org/W2110644821","https://openalex.org/W2111787677","https://openalex.org/W2113350594","https://openalex.org/W2114867966","https://openalex.org/W2121880036","https://openalex.org/W2125188192","https://openalex.org/W2125676229","https://openalex.org/W2128254161","https://openalex.org/W2129480988","https://openalex.org/W2141030717","https://openalex.org/W2141957843","https://openalex.org/W2156936307","https://openalex.org/W2167307343","https://openalex.org/W2256362396","https://openalex.org/W2296135906","https://openalex.org/W2296690173","https://openalex.org/W2467473805","https://openalex.org/W2508509730","https://openalex.org/W2536722097","https://openalex.org/W2562491041","https://openalex.org/W2749871042","https://openalex.org/W2912104034","https://openalex.org/W4255455561","https://openalex.org/W6602602565","https://openalex.org/W6605121731","https://openalex.org/W6606877702","https://openalex.org/W6657480560","https://openalex.org/W6657867509","https://openalex.org/W6677034156","https://openalex.org/W6684694354","https://openalex.org/W6719781927"],"related_works":["https://openalex.org/W2329932281","https://openalex.org/W64535957","https://openalex.org/W2043790407","https://openalex.org/W2348902545","https://openalex.org/W2321247741","https://openalex.org/W2136313643","https://openalex.org/W2087564795","https://openalex.org/W2011367085","https://openalex.org/W3136545447","https://openalex.org/W3107835849"],"abstract_inverted_index":{"Single-image":[0],"haze":[1,74,153],"removal":[2,75],"is":[3,28,92,101,135],"important":[4],"for":[5],"many":[6],"practical":[7],"applications":[8],"(e.g.,":[9],"surveillance).":[10],"However,":[11],"dehazed":[12],"results":[13,143],"of":[14,97,140,159,166,173],"existing":[15],"algorithms":[16],"tend":[17],"to":[18,103,107,129,137,161],"be":[19],"oversmoothed":[20],"with":[21],"missing":[22],"fine":[23],"image":[24,47],"details.":[25],"This":[26],"drawback":[27],"caused":[29],"by":[30],"two":[31,52],"factors:":[32],"inaccurate":[33],"airlight":[34,62,89,116,128],"estimations":[35],"and":[36,60,77],"disregarding":[37],"multiple":[38],"scattering.":[39],"In":[40],"this":[41],"paper,":[42],"we":[43],"propose":[44],"a":[45,170],"detail-preserving":[46],"dehazing":[48],"algorithm":[49,68,91,148],"based":[50,82,113],"on":[51,83,114,169],"key":[53],"priors,":[54],"namely,":[55],"the":[56,61,73,78,84,98,109,115,126,131,146,164,167],"depth-edge":[57,85],"aware":[58,86],"prior":[59],"impact":[63,117],"regularity":[64,118],"prior.":[65],"The":[66,94],"proposed":[67,147],"makes":[69],"contributions":[70],"in":[71],"both":[72],"step":[76],"postprocessing":[79],"step.":[80],"First,":[81],"prior,":[87,119],"an":[88,120],"refinement":[90],"proposed.":[93],"gradient":[95],"strength":[96,133],"minimum":[99],"channel":[100],"employed":[102],"calculate":[104],"punishment":[105],"weights":[106],"smooth":[108],"dark":[110],"channel.":[111],"Second,":[112],"adaptive":[121],"sharpening":[122,132],"model":[123],"that":[124,145],"considers":[125],"refined":[127],"determine":[130],"value":[134],"established":[136],"enhance":[138,157],"levels":[139,158],"detail.":[141],"Experimental":[142],"demonstrate":[144],"cannot":[149],"only":[150],"effectively":[151],"remove":[152],"but":[154],"can":[155],"also":[156],"detail":[160],"thus":[162],"outperform":[163],"state":[165],"art":[168],"wide":[171],"variety":[172],"images.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}