{"id":"https://openalex.org/W4365151130","doi":"https://doi.org/10.1007/s00530-023-01087-w","title":"Cascaded deep residual learning network for single image dehazing","display_name":"Cascaded deep residual learning network for single image dehazing","publication_year":2023,"publication_date":"2023-04-12","ids":{"openalex":"https://openalex.org/W4365151130","doi":"https://doi.org/10.1007/s00530-023-01087-w"},"language":"en","primary_location":{"id":"doi:10.1007/s00530-023-01087-w","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00530-023-01087-w","pdf_url":null,"source":{"id":"https://openalex.org/S112262039","display_name":"Multimedia Systems","issn_l":"0942-4962","issn":["0942-4962","1432-1882"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Systems","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/A5115590259","display_name":"Yizhong Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yizhong Yang","raw_affiliation_strings":["School of Microelectronics, Hefei University of Technology, Hefei, 230009, China"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Hefei University of Technology, Hefei, 230009, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001930852","display_name":"Ce Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ce Hou","raw_affiliation_strings":["School of Microelectronics, Hefei University of Technology, Hefei, 230009, China"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Hefei University of Technology, Hefei, 230009, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102507224","display_name":"Haixia Huang","orcid":"https://orcid.org/0000-0001-5589-3836"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haixia Huang","raw_affiliation_strings":["School of Microelectronics, Hefei University of Technology, Hefei, 230009, China"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Hefei University of Technology, Hefei, 230009, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100599312","display_name":"Zhang Zhang","orcid":"https://orcid.org/0000-0002-3510-4585"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Zhang","raw_affiliation_strings":["School of Microelectronics, Hefei University of Technology, Hefei, 230009, China"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Hefei University of Technology, Hefei, 230009, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084521033","display_name":"Guangjun Xie","orcid":"https://orcid.org/0000-0002-7801-2875"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangjun Xie","raw_affiliation_strings":["School of Microelectronics, Hefei University of Technology, Hefei, 230009, China"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Hefei University of Technology, Hefei, 230009, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5115590259"],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":null,"apc_paid":null,"fwci":0.4886,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63561182,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"29","issue":"4","first_page":"2037","last_page":"2048"},"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":0.9933000206947327,"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":0.9932000041007996,"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/computer-science","display_name":"Computer science","score":0.8031677603721619},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7862425446510315},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7131409645080566},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6128449440002441},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5706101059913635},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5316287279129028},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5066562294960022},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5043445825576782},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47562673687934875},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4669175148010254},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.46310967206954956},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.44384288787841797},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42021825909614563},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41468632221221924},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2868751883506775},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14296776056289673},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.090004563331604}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8031677603721619},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7862425446510315},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7131409645080566},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6128449440002441},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5706101059913635},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5316287279129028},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5066562294960022},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5043445825576782},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47562673687934875},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4669175148010254},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.46310967206954956},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.44384288787841797},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42021825909614563},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41468632221221924},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2868751883506775},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14296776056289673},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.090004563331604},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00530-023-01087-w","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00530-023-01087-w","pdf_url":null,"source":{"id":"https://openalex.org/S112262039","display_name":"Multimedia Systems","issn_l":"0942-4962","issn":["0942-4962","1432-1882"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G1816980152","display_name":null,"funder_award_id":"JZ2021HGQA0262","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3284967470","display_name":null,"funder_award_id":"61674049","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7705247925","display_name":null,"funder_award_id":"U19A2053","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W639708223","https://openalex.org/W2028990532","https://openalex.org/W2077862666","https://openalex.org/W2114867966","https://openalex.org/W2117539524","https://openalex.org/W2128254161","https://openalex.org/W2156936307","https://openalex.org/W2194775991","https://openalex.org/W2256362396","https://openalex.org/W2331128040","https://openalex.org/W2467473805","https://openalex.org/W2519481857","https://openalex.org/W2754480022","https://openalex.org/W2779176852","https://openalex.org/W2798876216","https://openalex.org/W2895176907","https://openalex.org/W2896302292","https://openalex.org/W2948606054","https://openalex.org/W2948892662","https://openalex.org/W2962754725","https://openalex.org/W2962782447","https://openalex.org/W2963074253","https://openalex.org/W2963085671","https://openalex.org/W2963152299","https://openalex.org/W2963306157","https://openalex.org/W2963641969","https://openalex.org/W2963928582","https://openalex.org/W2964092275","https://openalex.org/W2964509837","https://openalex.org/W2984422960","https://openalex.org/W2985030998","https://openalex.org/W2989362930","https://openalex.org/W2990007814","https://openalex.org/W2997210448","https://openalex.org/W3021850033","https://openalex.org/W3034278302","https://openalex.org/W3034331889","https://openalex.org/W3035631962","https://openalex.org/W3128218412","https://openalex.org/W3163225208","https://openalex.org/W3189012752","https://openalex.org/W3205433146","https://openalex.org/W6814227440"],"related_works":["https://openalex.org/W3125011624","https://openalex.org/W1508631387","https://openalex.org/W2370917603","https://openalex.org/W2017776670","https://openalex.org/W2952760143","https://openalex.org/W2560215812","https://openalex.org/W2347897961","https://openalex.org/W2949601986","https://openalex.org/W2979236518","https://openalex.org/W2358318464"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}