{"id":"https://openalex.org/W4308234050","doi":"https://doi.org/10.1109/icip46576.2022.9897706","title":"RW-HAZE: A Real-World Benchmark Dataset to Evaluate Quantitatively Dehazing Algorithms","display_name":"RW-HAZE: A Real-World Benchmark Dataset to Evaluate Quantitatively Dehazing Algorithms","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4308234050","doi":"https://doi.org/10.1109/icip46576.2022.9897706"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9897706","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897706","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","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/A5087797659","display_name":"Jiyou Chen","orcid":"https://orcid.org/0000-0001-8883-9430"},"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"]},{"id":"https://openalex.org/I149735164","display_name":"Hengyang Normal University","ror":"https://ror.org/006bvjm48","country_code":"CN","type":"education","lineage":["https://openalex.org/I149735164"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiyou Chen","raw_affiliation_strings":["Hunan University,School of Computer Science and Electronic Engineering,Changsha,China,410082","School of Physics and Electronics Engineering, Hengyang Normal University, Hengyang, China"],"affiliations":[{"raw_affiliation_string":"Hunan University,School of Computer Science and Electronic Engineering,Changsha,China,410082","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"School of Physics and Electronics Engineering, Hengyang Normal University, Hengyang, China","institution_ids":["https://openalex.org/I149735164"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101562422","display_name":"Shengchun Wang","orcid":"https://orcid.org/0000-0003-1458-1304"},"institutions":[{"id":"https://openalex.org/I3130607311","display_name":"Changsha Normal University","ror":"https://ror.org/02sqk3z62","country_code":"CN","type":"education","lineage":["https://openalex.org/I3130607311"]},{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengchun Wang","raw_affiliation_strings":["Hunan Normal University,School of Information Science and Engineering,Changsha,China,410081"],"affiliations":[{"raw_affiliation_string":"Hunan Normal University,School of Information Science and Engineering,Changsha,China,410081","institution_ids":["https://openalex.org/I3130607311","https://openalex.org/I173759888"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100352249","display_name":"Xin Liu","orcid":"https://orcid.org/0000-0002-6035-6055"},"institutions":[{"id":"https://openalex.org/I4210110116","display_name":"Institute of Applied Technology","ror":"https://ror.org/01yy74248","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667","https://openalex.org/I4210110116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Liu","raw_affiliation_strings":["Hunan Applied Technology University,Changde,China,415100"],"affiliations":[{"raw_affiliation_string":"Hunan Applied Technology University,Changde,China,415100","institution_ids":["https://openalex.org/I4210110116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048048449","display_name":"Gaobo Yang","orcid":"https://orcid.org/0000-0003-2734-659X"},"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":"Gaobo Yang","raw_affiliation_strings":["Hunan University,School of Computer Science and Electronic Engineering,Changsha,China,410082"],"affiliations":[{"raw_affiliation_string":"Hunan University,School of Computer Science and Electronic Engineering,Changsha,China,410082","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5087797659"],"corresponding_institution_ids":["https://openalex.org/I149735164","https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":0.301,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.63817197,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"11","last_page":"15"},"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":0.9941999912261963,"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":0.9937000274658203,"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/haze","display_name":"Haze","score":0.936377227306366},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.759745717048645},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.747684121131897},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7063838839530945},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5838715434074402},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5600444674491882},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5068312287330627},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09579622745513916},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.06813883781433105}],"concepts":[{"id":"https://openalex.org/C79974267","wikidata":"https://www.wikidata.org/wiki/Q643546","display_name":"Haze","level":2,"score":0.936377227306366},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.759745717048645},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.747684121131897},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7063838839530945},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5838715434074402},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5600444674491882},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5068312287330627},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09579622745513916},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.06813883781433105},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip46576.2022.9897706","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897706","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2128254161","https://openalex.org/W2156936307","https://openalex.org/W2256362396","https://openalex.org/W2779176852","https://openalex.org/W2901543290","https://openalex.org/W2948606054","https://openalex.org/W2962782447","https://openalex.org/W2963074253","https://openalex.org/W2963152299","https://openalex.org/W2963306157","https://openalex.org/W2963928582","https://openalex.org/W2970360808","https://openalex.org/W2976715267","https://openalex.org/W2990007814","https://openalex.org/W2997210448","https://openalex.org/W3028365735","https://openalex.org/W3034278302","https://openalex.org/W3034331889","https://openalex.org/W3035601380","https://openalex.org/W3124953441","https://openalex.org/W3159236515","https://openalex.org/W3173269149","https://openalex.org/W3177127346","https://openalex.org/W3180034634"],"related_works":["https://openalex.org/W2397673276","https://openalex.org/W2318437963","https://openalex.org/W2348696601","https://openalex.org/W2394444438","https://openalex.org/W2377355001","https://openalex.org/W2387386748","https://openalex.org/W2377493372","https://openalex.org/W2964624622","https://openalex.org/W2388134306","https://openalex.org/W2371905190"],"abstract_inverted_index":{"Most":[0],"existing":[1],"image":[2,73,130,146,168],"dehazing":[3,35,74,147,169],"approaches":[4],"are":[5,13],"able":[6],"to":[7,18,25,47,59,171],"achieve":[8],"desirable":[9],"results":[10,159],"whose":[11],"differences":[12],"too":[14],"subtle":[15],"for":[16,72,80,149,167],"people":[17],"qualitatively":[19],"judge.":[20],"Therefore,":[21],"it":[22],"is":[23,119,125],"important":[24],"adopt":[26],"quantitative":[27],"assessment":[28],"on":[29,42,155,175],"real-world":[30,43,52,67,122],"hazy":[31,44,95,135,177],"images.":[32],"However,":[33],"many":[34],"works":[36,148],"have":[37],"not":[38],"been":[39,78],"quantitatively":[40],"evaluated":[41],"images":[45,93,96,136],"due":[46],"the":[48,61,113,120],"lack":[49],"of":[50,84,90,115,128,132],"appropriate":[51],"datasets.":[53],"In":[54],"this":[55],"work,":[56],"we":[57],"attempt":[58],"address":[60],"issue":[62],"and":[63,94,134],"present":[64],"a":[65,81],"well-aligned":[66,91,129],"benchmark":[68],"dataset,":[69],"namely":[70],"RW-Haze,":[71],"evaluation,":[75],"which":[76,101],"had":[77],"lacking":[79],"long":[82],"period":[83],"time.":[85],"It":[86],"contains":[87],"210":[88],"pairs":[89,131],"haze-free":[92,133],"with":[97,137],"distinct":[98],"haze":[99,139,181],"densities,":[100],"were":[102],"captured":[103],"from":[104],"six":[105],"cities":[106],"in":[107],"China":[108],"by":[109],"fixed":[110],"cameras.":[111],"To":[112],"best":[114],"our":[116],"knowledge,":[117],"RW-Haze":[118,156],"first":[121],"dataset":[123],"that":[124,161],"made":[126],"up":[127],"diverse":[138],"levels.":[140],"We":[141],"select":[142],"13":[143],"state-of-the-art":[144],"single":[145],"making":[150],"comprehensive":[151],"evaluations":[152],"among":[153],"them":[154],"dataset.":[157],"Experimental":[158],"show":[160],"there":[162],"still":[163],"exist":[164],"rich":[165],"rooms":[166],"research":[170],"improve":[172],"its":[173],"robustness":[174],"natural":[176],"images,":[178],"especially":[179],"dense":[180],"scenes.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}