{"id":"https://openalex.org/W2398961101","doi":"https://doi.org/10.1109/icassp.2016.7471915","title":"Atmospheric turbulence mitigation based on turbulence extraction","display_name":"Atmospheric turbulence mitigation based on turbulence extraction","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2398961101","doi":"https://doi.org/10.1109/icassp.2016.7471915","mag":"2398961101"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2016.7471915","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7471915","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5013965758","display_name":"Renjie He","orcid":"https://orcid.org/0000-0003-2191-1121"},"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/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["AU","CN"],"is_corresponding":false,"raw_author_name":"Renjie He","raw_affiliation_strings":["School of Information Technologies, The University of Sydney, Australia","Shaanxi Key Laboratory of Information Acquisition and Processing, Northwestern Polytechnical University, Xian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technologies, The University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]},{"raw_affiliation_string":"Shaanxi Key Laboratory of Information Acquisition and Processing, Northwestern Polytechnical University, Xian, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100443935","display_name":"Zhiyong Wang","orcid":"https://orcid.org/0000-0002-8043-0312"},"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"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Zhiyong Wang","raw_affiliation_strings":["School of Information Technologies, The University of Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technologies, The University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070286681","display_name":"Yangyu Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangyu Fan","raw_affiliation_strings":["Shaanxi Key Laboratory of Information Acquisition and Processing, Northwestern Polytechnical University, Xian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Information Acquisition and Processing, Northwestern Polytechnical University, Xian, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090036032","display_name":"David Fengg","orcid":null},"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"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"David Fengg","raw_affiliation_strings":["The University of Sydney, Sydney, NSW, AU"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Sydney, Sydney, NSW, AU","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1442","last_page":"1446"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9995999932289124,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9995999932289124,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9991999864578247,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9983999729156494,"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/turbulence","display_name":"Turbulence","score":0.7372848987579346},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.7253171801567078},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5036913752555847},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4484829008579254},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4422610402107239},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4298493266105652},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.3502872586250305},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.1301538348197937},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08324143290519714}],"concepts":[{"id":"https://openalex.org/C196558001","wikidata":"https://www.wikidata.org/wiki/Q190132","display_name":"Turbulence","level":2,"score":0.7372848987579346},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.7253171801567078},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5036913752555847},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4484829008579254},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4422610402107239},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4298493266105652},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3502872586250305},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.1301538348197937},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08324143290519714},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2016.7471915","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7471915","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.4399999976158142,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W282757658","https://openalex.org/W1568604791","https://openalex.org/W1580389772","https://openalex.org/W1736339626","https://openalex.org/W1970958080","https://openalex.org/W1971473556","https://openalex.org/W1998382633","https://openalex.org/W2001266526","https://openalex.org/W2005853603","https://openalex.org/W2013220000","https://openalex.org/W2026214447","https://openalex.org/W2028094141","https://openalex.org/W2044439645","https://openalex.org/W2045219179","https://openalex.org/W2048801036","https://openalex.org/W2050334711","https://openalex.org/W2067449580","https://openalex.org/W2116645681","https://openalex.org/W2123882306","https://openalex.org/W2125188192","https://openalex.org/W2145962650","https://openalex.org/W2161566109","https://openalex.org/W2164904357","https://openalex.org/W2169899245"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2079911747","https://openalex.org/W2170022336"],"abstract_inverted_index":{"A":[0],"video":[1],"taken":[2],"under":[3],"the":[4,15,74,113,119,140,147,153],"influence":[5],"of":[6,17,109,165],"atmospheric":[7,51,168],"turbulence":[8,40,52,102,121,126,169],"suffers":[9],"from":[10,49,95,112],"serious":[11],"distortion":[12,26,110],"caused":[13],"by":[14,145],"variation":[16],"optical":[18],"refractive":[19],"index.":[20],"In":[21],"order":[22],"to":[23,69,100,106,117,133],"reduce":[24,70],"geometric":[25,71,172],"and":[27,30,35,86,131,152,171],"time-space-varying":[28],"blur,":[29],"recover":[31],"both":[32],"coarse":[33],"structure":[34],"fine":[36],"details,":[37],"a":[38,46,59,67,81,87],"novel":[39],"extraction":[41],"based":[42],"approach":[43,162],"for":[44],"recovering":[45],"latent":[47],"image":[48,61,76,142],"an":[50,135],"degraded":[53],"imagery":[54],"sequence":[55,77],"is":[56,64,78,143,163],"proposed.":[57],"Firstly,":[58],"non-rigid":[60],"registration":[62],"method":[63],"applied":[65],"as":[66],"preprocessing":[68],"deformation.":[72],"Secondly,":[73],"registered":[75],"decomposed":[79],"into":[80],"low-rank":[82],"background":[83,149],"scene":[84,150],"component":[85,90,116],"sparse":[88,114],"turbulent":[89,115],"via":[91],"matrix":[92],"decomposition.":[93],"Different":[94],"other":[96],"approaches,":[97],"which":[98],"intend":[99],"remove":[101],"directly,":[103],"we":[104],"manage":[105],"extract":[107],"information":[108],"position":[111],"indicate":[118,159],"sharpest":[120,125],"patches.":[122],"The":[123],"selected":[124],"patches":[127],"are":[128],"then":[129],"enhanced":[130,136,154],"fused":[132],"generate":[134],"detail":[137,155],"layer.":[138],"Finally,":[139],"output":[141],"generated":[144],"fusing":[146],"deblurred":[148],"layer":[151,156],"together.":[157],"Experiments":[158],"that":[160],"our":[161],"capable":[164],"significantly":[166],"alleviating":[167],"blur":[170],"distortion.":[173]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
