{"id":"https://openalex.org/W3167186256","doi":"https://doi.org/10.24963/ijcai.2021/604","title":"A Comprehensive Survey on Image Dehazing Based on Deep Learning","display_name":"A Comprehensive Survey on Image Dehazing Based on Deep Learning","publication_year":2021,"publication_date":"2021-08-01","ids":{"openalex":"https://openalex.org/W3167186256","doi":"https://doi.org/10.24963/ijcai.2021/604","mag":"3167186256"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2021/604","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/604","pdf_url":"https://www.ijcai.org/proceedings/2021/0604.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2021/0604.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110740283","display_name":"Jie Gui","orcid":"https://orcid.org/0000-0002-9450-1759"},"institutions":[{"id":"https://openalex.org/I4210090971","display_name":"Southeast University","ror":"https://ror.org/00cf0ab87","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210090971"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Jie Gui","raw_affiliation_strings":["Southeast University","southeast University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University","institution_ids":[]},{"raw_affiliation_string":"southeast University","institution_ids":["https://openalex.org/I4210090971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100688534","display_name":"Xiaofeng Cong","orcid":"https://orcid.org/0000-0001-8850-3507"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Cong","raw_affiliation_strings":["AnHui University","Anhui University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AnHui University","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"Anhui University","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074890965","display_name":"Yuan Cao","orcid":"https://orcid.org/0000-0002-1445-8210"},"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":"Yuan Cao","raw_affiliation_strings":["Ocean University of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ocean University of China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057999649","display_name":"Wenqi Ren","orcid":"https://orcid.org/0000-0001-5481-653X"},"institutions":[{"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/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqi Ren","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences","[Institute of Information Engineering, Chinese Academy of Sciences]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]},{"raw_affiliation_string":"[Institute of Information Engineering, Chinese Academy of Sciences]","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100433179","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0002-5985-8023"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]},{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["AU","CN"],"is_corresponding":false,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["AnHui University","University of Sydney","Anhui University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AnHui University","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"University of Sydney","institution_ids":["https://openalex.org/I129604602"]},{"raw_affiliation_string":"Anhui University","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100345321","display_name":"Jing Zhang","orcid":"https://orcid.org/0000-0001-6595-7661"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]},{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["AU","CN"],"is_corresponding":false,"raw_author_name":"Jing Zhang","raw_affiliation_strings":["AnHui University","University of Sydney"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AnHui University","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"University of Sydney","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074103823","display_name":"Dacheng Tao","orcid":"https://orcid.org/0000-0001-7225-5449"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dacheng Tao","raw_affiliation_strings":["JD Explore Academy, JD.com, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JD Explore Academy, JD.com, China","institution_ids":["https://openalex.org/I4210103986"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.097,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.37296173,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"4426","last_page":"4433"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9987999796867371,"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":0.9983999729156494,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7827975749969482},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.608491837978363},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6074835062026978},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5778447985649109},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5506847500801086},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5015652179718018},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42582884430885315}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7827975749969482},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.608491837978363},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6074835062026978},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5778447985649109},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5506847500801086},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5015652179718018},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42582884430885315},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.24963/ijcai.2021/604","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/604","pdf_url":"https://www.ijcai.org/proceedings/2021/0604.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},{"id":"mag:3167186256","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.24963/ijcai.2021/604","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/604","pdf_url":"https://www.ijcai.org/proceedings/2021/0604.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6341265410","display_name":null,"funder_award_id":"202113037","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7848309000","display_name":null,"funder_award_id":"2242021R10097","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3167186256.pdf","grobid_xml":"https://content.openalex.org/works/W3167186256.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1710476689","https://openalex.org/W2003709967","https://openalex.org/W2097900287","https://openalex.org/W2128254161","https://openalex.org/W2133665775","https://openalex.org/W2156936307","https://openalex.org/W2256362396","https://openalex.org/W2293894573","https://openalex.org/W2331128040","https://openalex.org/W2508509730","https://openalex.org/W2519481857","https://openalex.org/W2549850705","https://openalex.org/W2605287558","https://openalex.org/W2754480022","https://openalex.org/W2779176852","https://openalex.org/W2788682721","https://openalex.org/W2791550762","https://openalex.org/W2792829624","https://openalex.org/W2796417383","https://openalex.org/W2798876216","https://openalex.org/W2808370801","https://openalex.org/W2890489646","https://openalex.org/W2893221507","https://openalex.org/W2896973508","https://openalex.org/W2948606054","https://openalex.org/W2955731188","https://openalex.org/W2962782447","https://openalex.org/W2963152299","https://openalex.org/W2963780738","https://openalex.org/W2963928582","https://openalex.org/W2968878340","https://openalex.org/W2970287290","https://openalex.org/W2970360808","https://openalex.org/W2976715267","https://openalex.org/W2985194834","https://openalex.org/W2988209803","https://openalex.org/W2991006905","https://openalex.org/W3003066644","https://openalex.org/W3015582066","https://openalex.org/W3022619948","https://openalex.org/W3022917278","https://openalex.org/W3028365735","https://openalex.org/W3035601380","https://openalex.org/W3035631962","https://openalex.org/W3042148526","https://openalex.org/W3042498204","https://openalex.org/W3066471605","https://openalex.org/W3087501356","https://openalex.org/W3089141666","https://openalex.org/W3093348923","https://openalex.org/W3097237744","https://openalex.org/W3124953441"],"related_works":["https://openalex.org/W3188749092","https://openalex.org/W2774250990","https://openalex.org/W3030874494","https://openalex.org/W2767919448","https://openalex.org/W2478396075","https://openalex.org/W2967584026","https://openalex.org/W3102962394","https://openalex.org/W3203801591","https://openalex.org/W3042364358","https://openalex.org/W2605018625","https://openalex.org/W2625209636","https://openalex.org/W2958391815","https://openalex.org/W2793406320","https://openalex.org/W2952956895","https://openalex.org/W2189430190","https://openalex.org/W3167919557","https://openalex.org/W3210896118","https://openalex.org/W2965521716","https://openalex.org/W3044937051","https://openalex.org/W3033212383"],"abstract_inverted_index":{"The":[0,85],"presence":[1],"of":[2,8,15,25,74,88],"haze":[3],"significantly":[4],"reduces":[5],"the":[6,23,35,51,59,71,96],"quality":[7,24],"images.":[9,27],"Researchers":[10],"have":[11],"designed":[12],"a":[13,47],"variety":[14],"algorithms":[16],"for":[17,99],"image":[18],"dehazing":[19,40,54,91],"(ID)":[20],"to":[21],"restore":[22],"hazy":[26],"However,":[28],"there":[29],"are":[30,93,104],"few":[31],"studies":[32],"that":[33],"summarize":[34],"deep":[36],"learning":[37],"(DL)":[38],"based":[39],"technologies.":[41],"In":[42],"this":[43],"paper,":[44],"we":[45,57,69],"conduct":[46],"comprehensive":[48],"survey":[49],"on":[50,102],"recent":[52],"proposed":[53],"methods.":[55],"Firstly,":[56],"conclude":[58],"commonly":[60],"used":[61],"datasets,":[62],"loss":[63],"functions":[64],"and":[65,82],"evaluation":[66],"metrics.":[67],"Secondly,":[68],"group":[70],"existing":[72],"researches":[73],"ID":[75,81,103],"into":[76],"two":[77],"major":[78],"categories:":[79],"supervised":[80],"unsupervised":[83],"ID.":[84],"core":[86],"ideas":[87],"various":[89],"influential":[90],"models":[92],"introduced.":[94],"Finally,":[95],"open":[97],"issues":[98],"future":[100],"research":[101],"pointed":[105],"out.":[106]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}