{"id":"https://openalex.org/W3013958263","doi":"https://doi.org/10.1109/dasip48288.2019.9049189","title":"A New Real-Time Embedded Video Denoising Algorithm","display_name":"A New Real-Time Embedded Video Denoising Algorithm","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3013958263","doi":"https://doi.org/10.1109/dasip48288.2019.9049189","mag":"3013958263"},"language":"en","primary_location":{"id":"doi:10.1109/dasip48288.2019.9049189","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dasip48288.2019.9049189","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Conference on Design and Architectures for Signal and Image Processing (DASIP)","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/A5000535991","display_name":"Andrea Petreto","orcid":null},"institutions":[{"id":"https://openalex.org/I4210148552","display_name":"Equipes Traitement de l'Information et Syst\u00e8mes","ror":"https://ror.org/0592ata02","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210142324","https://openalex.org/I4210148552","https://openalex.org/I4210159245","https://openalex.org/I86175216"]},{"id":"https://openalex.org/I4210166450","display_name":"Alcen (France)","ror":"https://ror.org/05qgpp431","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210166450"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Andrea Petreto","raw_affiliation_strings":["Lh&#x00E9;ritier - Alcen,F-95862, Cergy-Pontoise,France","Lh\u00e9ritier - Alcen, F-95862, Cergy-Pontoise, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lh&#x00E9;ritier - Alcen,F-95862, Cergy-Pontoise,France","institution_ids":["https://openalex.org/I4210148552"]},{"raw_affiliation_string":"Lh\u00e9ritier - Alcen, F-95862, Cergy-Pontoise, France","institution_ids":["https://openalex.org/I4210166450"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054455808","display_name":"Thomas Romera","orcid":null},"institutions":[{"id":"https://openalex.org/I4210148552","display_name":"Equipes Traitement de l'Information et Syst\u00e8mes","ror":"https://ror.org/0592ata02","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210142324","https://openalex.org/I4210148552","https://openalex.org/I4210159245","https://openalex.org/I86175216"]},{"id":"https://openalex.org/I4210166450","display_name":"Alcen (France)","ror":"https://ror.org/05qgpp431","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210166450"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Thomas Romera","raw_affiliation_strings":["Lh&#x00E9;ritier - Alcen,F-95862, Cergy-Pontoise,France","Lh\u00e9ritier - Alcen, F-95862, Cergy-Pontoise, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lh&#x00E9;ritier - Alcen,F-95862, Cergy-Pontoise,France","institution_ids":["https://openalex.org/I4210148552"]},{"raw_affiliation_string":"Lh\u00e9ritier - Alcen, F-95862, Cergy-Pontoise, France","institution_ids":["https://openalex.org/I4210166450"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089652964","display_name":"F. Lema\u0131\u0302tre","orcid":"https://orcid.org/0000-0002-0908-3629"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I51101395","display_name":"Universit\u00e9 Paris 1 Panth\u00e9on-Sorbonne","ror":"https://ror.org/002t25c44","country_code":"FR","type":"education","lineage":["https://openalex.org/I51101395"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Florian Lemaitre","raw_affiliation_strings":["Sorbonne University,CNRS LIP6 F-75005, Paris,France","Sorbonne University, CNRS LIP6 F-75005, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sorbonne University,CNRS LIP6 F-75005, Paris,France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I39804081","https://openalex.org/I51101395"]},{"raw_affiliation_string":"Sorbonne University, CNRS LIP6 F-75005, Paris, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I39804081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085991669","display_name":"Ian Masliah","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I51101395","display_name":"Universit\u00e9 Paris 1 Panth\u00e9on-Sorbonne","ror":"https://ror.org/002t25c44","country_code":"FR","type":"education","lineage":["https://openalex.org/I51101395"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ian Masliah","raw_affiliation_strings":["Sorbonne University,CNRS LIP6 F-75005, Paris,France","Sorbonne University, CNRS LIP6 F-75005, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sorbonne University,CNRS LIP6 F-75005, Paris,France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I39804081","https://openalex.org/I51101395"]},{"raw_affiliation_string":"Sorbonne University, CNRS LIP6 F-75005, Paris, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I39804081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020591892","display_name":"Boris Gaillard","orcid":null},"institutions":[{"id":"https://openalex.org/I4210148552","display_name":"Equipes Traitement de l'Information et Syst\u00e8mes","ror":"https://ror.org/0592ata02","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210142324","https://openalex.org/I4210148552","https://openalex.org/I4210159245","https://openalex.org/I86175216"]},{"id":"https://openalex.org/I4210166450","display_name":"Alcen (France)","ror":"https://ror.org/05qgpp431","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210166450"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Boris Gaillard","raw_affiliation_strings":["Lh&#x00E9;ritier - Alcen,F-95862, Cergy-Pontoise,France","Lh\u00e9ritier - Alcen, F-95862, Cergy-Pontoise, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lh&#x00E9;ritier - Alcen,F-95862, Cergy-Pontoise,France","institution_ids":["https://openalex.org/I4210148552"]},{"raw_affiliation_string":"Lh\u00e9ritier - Alcen, F-95862, Cergy-Pontoise, France","institution_ids":["https://openalex.org/I4210166450"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082739721","display_name":"Manuel Bouyer","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I51101395","display_name":"Universit\u00e9 Paris 1 Panth\u00e9on-Sorbonne","ror":"https://ror.org/002t25c44","country_code":"FR","type":"education","lineage":["https://openalex.org/I51101395"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Manuel Bouyer","raw_affiliation_strings":["Sorbonne University,CNRS LIP6 F-75005, Paris,France","Sorbonne University, CNRS LIP6 F-75005, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sorbonne University,CNRS LIP6 F-75005, Paris,France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I39804081","https://openalex.org/I51101395"]},{"raw_affiliation_string":"Sorbonne University, CNRS LIP6 F-75005, Paris, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I39804081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045016284","display_name":"Quentin Meunier","orcid":"https://orcid.org/0000-0001-8848-8079"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I51101395","display_name":"Universit\u00e9 Paris 1 Panth\u00e9on-Sorbonne","ror":"https://ror.org/002t25c44","country_code":"FR","type":"education","lineage":["https://openalex.org/I51101395"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Quentin L. Meunier","raw_affiliation_strings":["Sorbonne University,CNRS LIP6 F-75005, Paris,France","Sorbonne University, CNRS LIP6 F-75005, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sorbonne University,CNRS LIP6 F-75005, Paris,France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I39804081","https://openalex.org/I51101395"]},{"raw_affiliation_string":"Sorbonne University, CNRS LIP6 F-75005, Paris, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I39804081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086965094","display_name":"Lionel Lacassagne","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I51101395","display_name":"Universit\u00e9 Paris 1 Panth\u00e9on-Sorbonne","ror":"https://ror.org/002t25c44","country_code":"FR","type":"education","lineage":["https://openalex.org/I51101395"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Lionel Lacassagne","raw_affiliation_strings":["Sorbonne University,CNRS LIP6 F-75005, Paris,France","Sorbonne University, CNRS LIP6 F-75005, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sorbonne University,CNRS LIP6 F-75005, Paris,France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I39804081","https://openalex.org/I51101395"]},{"raw_affiliation_string":"Sorbonne University, CNRS LIP6 F-75005, Paris, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I39804081"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2745,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.62802154,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"47","last_page":"52"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","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/T10688","display_name":"Image and Signal Denoising Methods","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/T11105","display_name":"Advanced Image Processing Techniques","score":0.998199999332428,"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":0.996399998664856,"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":0.8215882778167725},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5772933959960938},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5666972994804382},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.5308564305305481},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5241435170173645},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4975309669971466},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.47113555669784546},{"id":"https://openalex.org/keywords/video-denoising","display_name":"Video denoising","score":0.44909319281578064},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4361158609390259},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.43200138211250305},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3637534976005554},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.26451215147972107},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.1648133397102356},{"id":"https://openalex.org/keywords/multiview-video-coding","display_name":"Multiview Video Coding","score":0.11030012369155884}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8215882778167725},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5772933959960938},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5666972994804382},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.5308564305305481},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5241435170173645},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4975309669971466},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.47113555669784546},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.44909319281578064},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4361158609390259},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.43200138211250305},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3637534976005554},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.26451215147972107},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.1648133397102356},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.11030012369155884}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dasip48288.2019.9049189","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dasip48288.2019.9049189","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Conference on Design and Architectures for Signal and Image Processing (DASIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8700000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1512782336","https://openalex.org/W1578985305","https://openalex.org/W1981401019","https://openalex.org/W2000880458","https://openalex.org/W2037642501","https://openalex.org/W2039731429","https://openalex.org/W2058005980","https://openalex.org/W2097073572","https://openalex.org/W2098477387","https://openalex.org/W2099244020","https://openalex.org/W2100925004","https://openalex.org/W2114929171","https://openalex.org/W2118877769","https://openalex.org/W2128298440","https://openalex.org/W2136396015","https://openalex.org/W2137269967","https://openalex.org/W2137577808","https://openalex.org/W2143425433","https://openalex.org/W2159558889","https://openalex.org/W2160659498","https://openalex.org/W2208248244","https://openalex.org/W2278393599","https://openalex.org/W2295628903","https://openalex.org/W2508457857","https://openalex.org/W2586275479","https://openalex.org/W2883238490","https://openalex.org/W2888859517","https://openalex.org/W2889594239","https://openalex.org/W2901656219","https://openalex.org/W2902159109"],"related_works":["https://openalex.org/W2387796150","https://openalex.org/W1987356308","https://openalex.org/W3119800349","https://openalex.org/W4385272703","https://openalex.org/W2513570774","https://openalex.org/W2139368882","https://openalex.org/W4214691059","https://openalex.org/W4287907666","https://openalex.org/W2792992868","https://openalex.org/W2997240037"],"abstract_inverted_index":{"Many":[0],"embedded":[1,54,88,132],"applications":[2],"rely":[3],"on":[4,8,87,130],"video":[5,9,12,22,50,84],"processing":[6],"or":[7,155],"visualization.":[10],"Noisy":[11],"is":[13,95,138],"thus":[14],"a":[15,25,47],"major":[16],"issue":[17],"for":[18,53,82],"such":[19],"applications.":[20],"However,":[21],"denoising":[23,51,62],"requires":[24],"lot":[26],"of":[27,32],"computational":[28],"effort":[29],"and":[30,67,90,111,118,127,134,144],"most":[31],"the":[33,91,122,152,156],"state-of-the-art":[34,98],"algorithms":[35],"cannot":[36],"be":[37],"run":[38],"in":[39,147],"real-time":[40,49,76,104],"at":[41],"camera":[42],"framerate.":[43],"This":[44],"article":[45],"introduces":[46],"new":[48],"algorithm":[52],"platforms":[55],"called":[56],"RTE-VD.":[57],"We":[58,70,120],"first":[59],"compare":[60],"its":[61],"capabilities":[63],"with":[64],"other":[65],"online":[66],"offline":[68],"algorithms.":[69,99],"show":[71,135],"that":[72,136],"RTE-VD":[73],"can":[74],"achieve":[75],"performance":[77],"(25":[78],"frames":[79],"per":[80],"second)":[81],"qHD":[83],"(960\u00d7540":[85],"pixels)":[86],"CPUs":[89,133],"output":[92],"image":[93],"quality":[94],"comparable":[96],"to":[97,102,140,149],"In":[100],"order":[101,148],"reach":[103],"denoising,":[105],"we":[106],"applied":[107],"several":[108,131],"high-level":[109],"transforms":[110],"optimizations":[112],"(SIMDization,":[113],"multi-core":[114],"parallelization,":[115],"operator":[116],"fusion":[117],"pipelining).":[119],"study":[121],"relation":[123],"between":[124],"computation":[125,153],"time":[126,154],"power":[128],"consumption":[129],"it":[137],"possible":[139],"determine":[141],"different":[142],"frequency":[143],"core":[145],"configurations":[146],"minimize":[150],"either":[151],"energy.":[157]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
