{"id":"https://openalex.org/W2119449517","doi":"https://doi.org/10.1145/2661229.2661277","title":"Fast burst images denoising","display_name":"Fast burst images denoising","publication_year":2014,"publication_date":"2014-11-18","ids":{"openalex":"https://openalex.org/W2119449517","doi":"https://doi.org/10.1145/2661229.2661277","mag":"2119449517"},"language":"en","primary_location":{"id":"doi:10.1145/2661229.2661277","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2661229.2661277","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","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/A5100406050","display_name":"Ziwei Liu","orcid":"https://orcid.org/0000-0002-4220-5958"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ziwei Liu","raw_affiliation_strings":["The Chinese University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100390820","display_name":"Lu Yuan","orcid":"https://orcid.org/0000-0001-7879-0389"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Lu Yuan","raw_affiliation_strings":["Microsoft Research","Microsoft research#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft research#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110380387","display_name":"Xiaoou Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiaoou Tang","raw_affiliation_strings":["The Chinese University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010182611","display_name":"Matt Uyttendaele","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Matt Uyttendaele","raw_affiliation_strings":["Microsoft Research Technologies","Microsoft Research Technologies#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Technologies","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft Research Technologies#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037419606","display_name":"Jian Sun","orcid":"https://orcid.org/0000-0001-7206-0641"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Jian Sun","raw_affiliation_strings":["Microsoft Research","Microsoft research#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft research#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1539,"has_fulltext":false,"cited_by_count":117,"citation_normalized_percentile":{"value":0.93735079,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"33","issue":"6","first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9994000196456909,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7930827736854553},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7796259522438049},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7747162580490112},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.7202007174491882},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.635728120803833},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5142056941986084},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.48517733812332153},{"id":"https://openalex.org/keywords/homography","display_name":"Homography","score":0.4637157917022705},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4571911692619324},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.4174790382385254},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4143623113632202},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35566648840904236},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1366685926914215},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12911731004714966}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7930827736854553},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7796259522438049},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7747162580490112},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7202007174491882},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.635728120803833},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5142056941986084},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.48517733812332153},{"id":"https://openalex.org/C28751775","wikidata":"https://www.wikidata.org/wiki/Q2112539","display_name":"Homography","level":4,"score":0.4637157917022705},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4571911692619324},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.4174790382385254},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4143623113632202},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35566648840904236},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1366685926914215},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12911731004714966},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C177846678","wikidata":"https://www.wikidata.org/wiki/Q1501864","display_name":"Projective test","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C75280867","wikidata":"https://www.wikidata.org/wiki/Q877775","display_name":"Projective space","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2661229.2661277","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2661229.2661277","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.696.4423","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.696.4423","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://research.microsoft.com/en-us/um/people/luyuan/paper/FastBurstDenoising_SIGGRAPHASIA14.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W65124300","https://openalex.org/W794661446","https://openalex.org/W1491719799","https://openalex.org/W1505723240","https://openalex.org/W1512782336","https://openalex.org/W1867429401","https://openalex.org/W1974438823","https://openalex.org/W1993120651","https://openalex.org/W1995813543","https://openalex.org/W2009548700","https://openalex.org/W2010316810","https://openalex.org/W2011953641","https://openalex.org/W2013628794","https://openalex.org/W2033819227","https://openalex.org/W2037133587","https://openalex.org/W2054619618","https://openalex.org/W2056370875","https://openalex.org/W2057412674","https://openalex.org/W2064619906","https://openalex.org/W2065533005","https://openalex.org/W2097073572","https://openalex.org/W2097934325","https://openalex.org/W2099244020","https://openalex.org/W2100925004","https://openalex.org/W2102913618","https://openalex.org/W2106462302","https://openalex.org/W2111308925","https://openalex.org/W2113945798","https://openalex.org/W2120105886","https://openalex.org/W2121927366","https://openalex.org/W2124548376","https://openalex.org/W2130371553","https://openalex.org/W2130724993","https://openalex.org/W2131686571","https://openalex.org/W2136961432","https://openalex.org/W2137203830","https://openalex.org/W2137577808","https://openalex.org/W2152178471","https://openalex.org/W2159736423","https://openalex.org/W2165939075","https://openalex.org/W2171500271","https://openalex.org/W2171857630","https://openalex.org/W3214102110","https://openalex.org/W4247530072"],"related_works":["https://openalex.org/W4313151434","https://openalex.org/W2050662190","https://openalex.org/W1997252062","https://openalex.org/W2899509464","https://openalex.org/W2159857203","https://openalex.org/W4390071586","https://openalex.org/W1993800635","https://openalex.org/W2030154815","https://openalex.org/W2051121715","https://openalex.org/W1929254672"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,9,13,26,43,62,75,125],"fast":[4],"denoising":[5,108],"method":[6,96,118],"that":[7,116],"produces":[8],"clean":[10],"image":[11],"from":[12],"burst":[14],"of":[15,21,64,85,100,128],"noisy":[16],"images.":[17],"We":[18],"accelerate":[19],"alignment":[20],"the":[22,60,83,107],"images":[23,37],"by":[24],"introducing":[25],"lightweight":[27],"camera":[28],"motion":[29,58,87],"representation":[30],"called":[31],"homography":[32],"flow":[33],".":[34],"The":[35],"aligned":[36],"are":[38],"then":[39],"fused":[40],"to":[41,73],"create":[42],"denoised":[44],"output":[45],"with":[46,91],"rapid":[47],"per-pixel":[48],"operations":[49],"in":[50],"temporal":[51,69],"and":[52,121],"spatial":[53],"domains.":[54],"To":[55],"handle":[56],"scene":[57],"during":[59],"capture,":[61],"mechanism":[63],"selecting":[65],"consistent":[66],"pixels":[67],"for":[68],"fusion":[70],"is":[71,110,119],"proposed":[72],"\"synthesize\"":[74],"clean,":[76],"ghost-free":[77],"image,":[78],"which":[79],"can":[80],"largely":[81],"reduce":[82],"computation":[84],"tracking":[86],"between":[88],"frames.":[89],"Combined":[90],"these":[92],"efficient":[93],"solutions,":[94],"our":[95,117],"runs":[97],"several":[98],"orders":[99],"magnitude":[101],"faster":[102],"than":[103],"previous":[104],"work,":[105],"while":[106],"quality":[109],"comparable.":[111],"A":[112],"smartphone":[113],"prototype":[114],"demonstrates":[115],"practical":[120],"works":[122],"well":[123],"on":[124],"large":[126],"variety":[127],"real":[129],"examples.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
