{"id":"https://openalex.org/W4414008065","doi":"https://doi.org/10.1109/lsp.2025.3606777","title":"A Fast HDR Image Reconstruction Pipeline for Hybrid Event-Frame Camera","display_name":"A Fast HDR Image Reconstruction Pipeline for Hybrid Event-Frame Camera","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4414008065","doi":"https://doi.org/10.1109/lsp.2025.3606777"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2025.3606777","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3606777","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","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/A5041716935","display_name":"Bowen Ding","orcid":"https://orcid.org/0000-0003-2456-1729"},"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/I4210149211","display_name":"Institute of Semiconductors","ror":"https://ror.org/048dd0611","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210149211"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bowen Ding","raw_affiliation_strings":["State Key Laboratory of Semiconductor Physics and Chip Technologies, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Semiconductor Physics and Chip Technologies, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210149211","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100680098","display_name":"Xu Yang","orcid":"https://orcid.org/0000-0001-5944-2987"},"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/I4210149211","display_name":"Institute of Semiconductors","ror":"https://ror.org/048dd0611","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210149211"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Yang","raw_affiliation_strings":["State Key Laboratory of Semiconductor Physics and Chip Technologies, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Semiconductor Physics and Chip Technologies, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210149211","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029342902","display_name":"Shuangming Yu","orcid":"https://orcid.org/0000-0001-6678-3886"},"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/I4210149211","display_name":"Institute of Semiconductors","ror":"https://ror.org/048dd0611","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210149211"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuangming Yu","raw_affiliation_strings":["State Key Laboratory of Semiconductor Physics and Chip Technologies, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Semiconductor Physics and Chip Technologies, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210149211","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050537094","display_name":"Runjiang Dou","orcid":"https://orcid.org/0000-0002-8674-1285"},"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/I4210149211","display_name":"Institute of Semiconductors","ror":"https://ror.org/048dd0611","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210149211"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runjiang Dou","raw_affiliation_strings":["State Key Laboratory of Semiconductor Physics and Chip Technologies, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Semiconductor Physics and Chip Technologies, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210149211","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100657035","display_name":"Liyuan Liu","orcid":"https://orcid.org/0000-0003-2585-323X"},"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/I4210149211","display_name":"Institute of Semiconductors","ror":"https://ror.org/048dd0611","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210149211"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liyuan Liu","raw_affiliation_strings":["State Key Laboratory of Semiconductor Physics and Chip Technologies, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Semiconductor Physics and Chip Technologies, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210149211","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5041716935"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210149211"],"apc_list":null,"apc_paid":null,"fwci":1.8862,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.87044431,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"32","issue":null,"first_page":"3600","last_page":"3604"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11216","display_name":"Radiation Detection and Scintillator Technologies","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11216","display_name":"Radiation Detection and Scintillator Technologies","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11949","display_name":"Nuclear Physics and Applications","score":0.9833999872207642,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.982200026512146,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7891244888305664},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7181079387664795},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7007948160171509},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.680360734462738},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5852375030517578},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.58460932970047},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.5766241550445557},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.48460516333580017}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7891244888305664},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7181079387664795},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7007948160171509},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.680360734462738},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5852375030517578},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.58460932970047},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.5766241550445557},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.48460516333580017},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2025.3606777","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3606777","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5503963054","display_name":null,"funder_award_id":"62404218","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6796580103","display_name":null,"funder_award_id":"62334008","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1973207753","https://openalex.org/W1997746542","https://openalex.org/W2016574277","https://openalex.org/W2081297346","https://openalex.org/W2133665775","https://openalex.org/W2504196632","https://openalex.org/W2766497195","https://openalex.org/W2901157565","https://openalex.org/W2964160927","https://openalex.org/W2970672284","https://openalex.org/W2998281665","https://openalex.org/W3010556452","https://openalex.org/W3040838455","https://openalex.org/W3109192943","https://openalex.org/W4213412898","https://openalex.org/W4253999777","https://openalex.org/W4289825123","https://openalex.org/W4292794822","https://openalex.org/W4310298833","https://openalex.org/W4319068627","https://openalex.org/W4386065527","https://openalex.org/W4386412351","https://openalex.org/W4393184625","https://openalex.org/W4400975044"],"related_works":["https://openalex.org/W3037187668","https://openalex.org/W4234772502","https://openalex.org/W2380685755","https://openalex.org/W2252100032","https://openalex.org/W2963436428","https://openalex.org/W4400978025","https://openalex.org/W2918743509","https://openalex.org/W2734796617","https://openalex.org/W3083218341","https://openalex.org/W3034087822"],"abstract_inverted_index":{"High":[0],"dynamic":[1],"range":[2],"(HDR)":[3],"imaging":[4,33],"is":[5],"essential":[6],"for":[7,54],"edge":[8,89],"devices.":[9,90],"Hybrid":[10],"event-frame":[11],"cameras":[12],"can":[13,48],"provide":[14],"relative":[15],"intensity":[16,23],"events":[17],"under":[18],"HDR":[19,98],"conditions":[20],"and":[21,105,116],"absolute":[22],"frames.":[24],"Their":[25],"image":[26,99],"reconstruction":[27,100],"pipeline":[28,101],"needs":[29],"to":[30,38,84,110,143],"fuse":[31],"different":[32],"data":[34,53],"in":[35,77],"real-time.":[36],"Due":[37],"a":[39,96,138],"lack":[40],"of":[41],"large-scale":[42],"real-world":[43],"datasets,":[44],"deep":[45],"learning":[46],"algorithms":[47],"only":[49],"rely":[50],"on":[51,88,124],"synthetic":[52],"training,":[55],"which":[56,107],"face":[57],"challenges":[58],"with":[59,127],"generalization":[60],"ability.":[61],"Model-based":[62],"computational":[63,145],"vision":[64,146],"methods":[65],"do":[66],"not":[67],"require":[68],"training":[69],"data.":[70],"However,":[71],"their":[72],"event-driven":[73],"update":[74],"strategy":[75],"results":[76],"slow":[78],"processing":[79],"speeds,":[80],"making":[81],"it":[82],"difficult":[83],"achieve":[85],"real-time":[86],"performance":[87,135],"In":[91],"this":[92],"paper,":[93],"we":[94],"present":[95],"fast":[97],"comprising":[102],"Deblur,":[103],"Calibration":[104],"Fusion,":[106],"respectively":[108],"correspond":[109],"frame":[111],"enhancement,":[112],"decompression":[113],"error":[114],"calibration":[115],"nonlinear":[117],"regression":[118],"fusion.":[119],"Our":[120,131],"experiments":[121],"are":[122],"evaluated":[123],"public":[125],"datasets":[126],"challenging":[128],"lighting":[129],"conditions.":[130],"algorithm":[132],"demonstrates":[133],"improved":[134],"metrics,":[136],"achieving":[137],"54%":[139],"faster":[140],"speed":[141],"compared":[142],"state-of-the-art":[144],"methods.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}