{"id":"https://openalex.org/W4308237910","doi":"https://doi.org/10.1109/icip46576.2022.9897975","title":"Thermal to Visible Image Synthesis Under Atmospheric Turbulence","display_name":"Thermal to Visible Image Synthesis Under Atmospheric Turbulence","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4308237910","doi":"https://doi.org/10.1109/icip46576.2022.9897975"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9897975","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897975","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/A5061336891","display_name":"Kangfu Mei","orcid":"https://orcid.org/0000-0001-8949-9597"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kangfu Mei","raw_affiliation_strings":["Johns Hopkins University,Dept. of Electrical and Computer Engineering,MD,USA","Dept. of Electrical and Computer Engineering, Johns Hopkins University, MD, USA"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University,Dept. of Electrical and Computer Engineering,MD,USA","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Johns Hopkins University, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111028332","display_name":"Yiqun Mei","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiqun Mei","raw_affiliation_strings":["Johns Hopkins University,Dept. of Electrical and Computer Engineering,MD,USA","Dept. of Electrical and Computer Engineering, Johns Hopkins University, MD, USA"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University,Dept. of Electrical and Computer Engineering,MD,USA","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Johns Hopkins University, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004716468","display_name":"Vishal M. Patel","orcid":"https://orcid.org/0000-0002-5239-692X"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vishal M. Patel","raw_affiliation_strings":["Johns Hopkins University,Dept. of Electrical and Computer Engineering,MD,USA","Dept. of Electrical and Computer Engineering, Johns Hopkins University, MD, USA"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University,Dept. of Electrical and Computer Engineering,MD,USA","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Johns Hopkins University, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061336891"],"corresponding_institution_ids":["https://openalex.org/I145311948"],"apc_list":null,"apc_paid":null,"fwci":0.3605,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.67769182,"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":"2051","last_page":"2055"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9984999895095825,"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-vision","display_name":"Computer vision","score":0.7063174247741699},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6614595651626587},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5796223282814026},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.5769048929214478},{"id":"https://openalex.org/keywords/turbulence","display_name":"Turbulence","score":0.5413557887077332},{"id":"https://openalex.org/keywords/thermal","display_name":"Thermal","score":0.5124281048774719},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4552251100540161},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.41062864661216736},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3654772639274597},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16994112730026245},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12504243850708008},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.10806939005851746}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7063174247741699},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6614595651626587},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5796223282814026},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.5769048929214478},{"id":"https://openalex.org/C196558001","wikidata":"https://www.wikidata.org/wiki/Q190132","display_name":"Turbulence","level":2,"score":0.5413557887077332},{"id":"https://openalex.org/C204530211","wikidata":"https://www.wikidata.org/wiki/Q752823","display_name":"Thermal","level":2,"score":0.5124281048774719},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4552251100540161},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.41062864661216736},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3654772639274597},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16994112730026245},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12504243850708008},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.10806939005851746},{"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/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip46576.2022.9897975","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897975","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1500041086","https://openalex.org/W2012648224","https://openalex.org/W2044439645","https://openalex.org/W2053110192","https://openalex.org/W2054631241","https://openalex.org/W2102166818","https://openalex.org/W2120057787","https://openalex.org/W2133665775","https://openalex.org/W2152788298","https://openalex.org/W2405210883","https://openalex.org/W2523746035","https://openalex.org/W2568415986","https://openalex.org/W2604145683","https://openalex.org/W2902139631","https://openalex.org/W2904856314","https://openalex.org/W2940551087","https://openalex.org/W2962785568","https://openalex.org/W2963156682","https://openalex.org/W2963294002","https://openalex.org/W2963460857","https://openalex.org/W2963609056","https://openalex.org/W2963809521","https://openalex.org/W3006602891","https://openalex.org/W3021195052","https://openalex.org/W3034956129","https://openalex.org/W3035574324","https://openalex.org/W3043177611","https://openalex.org/W3047380542","https://openalex.org/W3093222528","https://openalex.org/W3102910076","https://openalex.org/W3118642508","https://openalex.org/W3119532581","https://openalex.org/W3127655102","https://openalex.org/W3153171492","https://openalex.org/W3183800428","https://openalex.org/W3186754109","https://openalex.org/W3193420294","https://openalex.org/W3194319283","https://openalex.org/W4320008842","https://openalex.org/W6631190155","https://openalex.org/W6780848123"],"related_works":["https://openalex.org/W2076845124","https://openalex.org/W2183964146","https://openalex.org/W2379932303","https://openalex.org/W2095239294","https://openalex.org/W3147744369","https://openalex.org/W2062586268","https://openalex.org/W3101578490","https://openalex.org/W4213477128","https://openalex.org/W4287300272","https://openalex.org/W3134797699"],"abstract_inverted_index":{"In":[0,61],"many":[1],"practical":[2],"applications":[3],"of":[4,111,130,135,147,159],"long-range":[5,52],"imaging":[6,28,53],"such":[7,27],"as":[8],"biometrics":[9],"and":[10,23,39,54,115,139],"surveillance,":[11],"thermal":[12,76,89,116,160],"imagining":[13],"modalities":[14],"are":[15],"often":[16,30],"used":[17],"to":[18,42,117,125,144,161],"capture":[19],"images":[20,90,93],"in":[21,51,128],"low-light":[22],"nighttime":[24],"conditions.":[25],"However,":[26],"systems":[29],"suffer":[31],"from":[32],"atmospheric":[33,166],"turbulence,":[34],"which":[35,85],"introduces":[36],"severe":[37],"blur":[38],"deformation":[40],"artifacts":[41],"the":[43,57,67,107,132,136,145,152,157],"captured":[44],"images.":[45,77],"Such":[46],"an":[47],"issue":[48],"is":[49,82,123,151],"unavoidable":[50],"significantly":[55],"decreases":[56],"face":[58,140],"verification":[59,141],"accuracy.":[60,142],"this":[62,150],"paper,":[63],"we":[64],"first":[65,153],"investigate":[66],"problem":[68,158],"with":[69,106],"a":[70,101],"turbulence":[71,113],"simulation":[72],"method":[73,81,122],"on":[74,100],"real-world":[75],"An":[78],"end-to-end":[79],"reconstruction":[80],"then":[83],"proposed":[84],"can":[86],"directly":[87],"transform":[88],"into":[91],"visible-spectrum":[92],"by":[94],"utilizing":[95],"natural":[96],"image":[97,119,163],"priors":[98],"based":[99],"pre-trained":[102],"StyleGAN2":[103],"network.":[104],"Compared":[105],"existing":[108],"two-steps":[109],"methods":[110],"consecutive":[112],"mitigation":[114],"visible":[118,162],"translation,":[120],"our":[121,148],"demonstrated":[124],"be":[126],"effective":[127],"terms":[129],"both":[131],"visual":[133],"quality":[134],"reconstructed":[137],"results":[138],"Moreover,":[143],"best":[146],"knowledge,":[149],"work":[154],"that":[155],"studies":[156],"translation":[164],"under":[165],"turbulence.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-05T09:29:38.588285","created_date":"2025-10-10T00:00:00"}
