{"id":"https://openalex.org/W2063971703","doi":"https://doi.org/10.1109/icip.2014.7025924","title":"Nighttime haze removal based on a new imaging model","display_name":"Nighttime haze removal based on a new imaging model","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2063971703","doi":"https://doi.org/10.1109/icip.2014.7025924","mag":"2063971703"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7025924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025924","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5061841494","display_name":"Jing Zhang","orcid":"https://orcid.org/0000-0002-8495-2804"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Zhang","raw_affiliation_strings":["Department of Automation, University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004299336","display_name":"Yang Cao","orcid":"https://orcid.org/0000-0002-2891-4379"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Cao","raw_affiliation_strings":["Department of Automation, University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103123751","display_name":"Zengfu Wang","orcid":"https://orcid.org/0000-0003-1859-900X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210099079","display_name":"Institute of Intelligent Machines","ror":"https://ror.org/00w0qep84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667","https://openalex.org/I4210099079"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zengfu Wang","raw_affiliation_strings":["Department of Automation, University of Science and Technology of China","Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210099079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":130,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4557","last_page":"4561"},"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":0.9957000017166138,"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/T11666","display_name":"Color Science and Applications","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/haze","display_name":"Haze","score":0.9823206663131714},{"id":"https://openalex.org/keywords/pointwise","display_name":"Pointwise","score":0.6005187630653381},{"id":"https://openalex.org/keywords/daytime","display_name":"Daytime","score":0.5382162928581238},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5296729803085327},{"id":"https://openalex.org/keywords/light-intensity","display_name":"Light intensity","score":0.4879733920097351},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.466217577457428},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4122535288333893},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4055655300617218},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.36463701725006104},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.26347485184669495},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.1241256594657898},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.099881112575531},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08375325798988342},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.06899228692054749}],"concepts":[{"id":"https://openalex.org/C79974267","wikidata":"https://www.wikidata.org/wiki/Q643546","display_name":"Haze","level":2,"score":0.9823206663131714},{"id":"https://openalex.org/C2777984123","wikidata":"https://www.wikidata.org/wiki/Q9248237","display_name":"Pointwise","level":2,"score":0.6005187630653381},{"id":"https://openalex.org/C162725370","wikidata":"https://www.wikidata.org/wiki/Q52643","display_name":"Daytime","level":2,"score":0.5382162928581238},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5296729803085327},{"id":"https://openalex.org/C3020368824","wikidata":"https://www.wikidata.org/wiki/Q6546192","display_name":"Light intensity","level":2,"score":0.4879733920097351},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.466217577457428},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4122535288333893},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4055655300617218},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.36463701725006104},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.26347485184669495},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.1241256594657898},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.099881112575531},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08375325798988342},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.06899228692054749},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C91586092","wikidata":"https://www.wikidata.org/wiki/Q757520","display_name":"Atmospheric sciences","level":1,"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/icip.2014.7025924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025924","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1494712057","https://openalex.org/W1985066542","https://openalex.org/W2011856058","https://openalex.org/W2028990532","https://openalex.org/W2035773017","https://openalex.org/W2097900287","https://openalex.org/W2099244020","https://openalex.org/W2109616376","https://openalex.org/W2110644821","https://openalex.org/W2114867966","https://openalex.org/W2125188192","https://openalex.org/W2128254161","https://openalex.org/W2141030717","https://openalex.org/W2160956336","https://openalex.org/W4252054347","https://openalex.org/W6678827375"],"related_works":["https://openalex.org/W3081293791","https://openalex.org/W2072650855","https://openalex.org/W2397673276","https://openalex.org/W2318437963","https://openalex.org/W2348696601","https://openalex.org/W3108670580","https://openalex.org/W2394444438","https://openalex.org/W2377355001","https://openalex.org/W2387386748","https://openalex.org/W2377493372"],"abstract_inverted_index":{"Nighttime":[0],"haze":[1,14,25,51,88,115],"removal":[2],"is":[3],"important":[4],"for":[5,49],"different":[6],"applications":[7],"such":[8],"as":[9],"nighttime":[10,24,50],"video":[11],"surveillance":[12],"in":[13,21],"environment.":[15],"Different":[16],"from":[17,29,32],"the":[18,22,56,77,81,87,91,98,106],"imaging":[19],"conditions":[20],"daytime,":[23],"images":[26],"may":[27],"suffer":[28],"non-uniform":[30],"illumination":[31,47,65,112],"artificial":[33],"light":[34,57],"sources.":[35],"In":[36],"this":[37],"paper,":[38],"we":[39,54,69,85],"proposed":[40,107],"a":[41,71],"novel":[42],"efficient":[43],"dehazing":[44],"method":[45,108],"with":[46,96],"estimation":[48],"condition.":[52],"First,":[53],"estimate":[55],"intensity":[58],"and":[59,114],"enhance":[60],"it":[61,119],"to":[62],"obtain":[63],"an":[64],"balanced":[66,113],"result.":[67],"Then,":[68],"process":[70],"color":[72,78,123],"correction":[73],"step":[74],"after":[75],"estimating":[76,97],"characteristics":[79],"of":[80],"incident":[82],"light.":[83,101],"Finally,":[84],"remove":[86],"by":[89],"using":[90],"dark":[92],"channel":[93],"prior":[94],"along":[95],"pointwise":[99],"environmental":[100],"Experimental":[102],"results":[103],"show":[104],"that":[105],"can":[109],"achieve":[110],"both":[111],"free":[116],"results.":[117],"Moreover,":[118],"also":[120],"has":[121],"good":[122],"rendition":[124],"ability.":[125]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":21},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}