{"id":"https://openalex.org/W2116191264","doi":"https://doi.org/10.1109/cvpr.2010.5540167","title":"Noise-optimal capture for high dynamic range photography","display_name":"Noise-optimal capture for high dynamic range photography","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2116191264","doi":"https://doi.org/10.1109/cvpr.2010.5540167","mag":"2116191264"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2010.5540167","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5540167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/1721.1/71893","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086941896","display_name":"Samuel W. Hasinoff","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Samuel W. Hasinoff","raw_affiliation_strings":["Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, USA","Massachusetts Institute of Technology,Computer Science and Artificial Intelligence Laboratory"],"affiliations":[{"raw_affiliation_string":"Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, USA","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Massachusetts Institute of Technology,Computer Science and Artificial Intelligence Laboratory","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075155488","display_name":"Fr\u00e9do Durand","orcid":"https://orcid.org/0000-0001-9919-069X"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fredo Durand","raw_affiliation_strings":["Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, USA","Massachusetts Institute of Technology,Computer Science and Artificial Intelligence Laboratory"],"affiliations":[{"raw_affiliation_string":"Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, USA","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Massachusetts Institute of Technology,Computer Science and Artificial Intelligence Laboratory","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074429265","display_name":"William T. Freeman","orcid":"https://orcid.org/0000-0002-2231-7995"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William T. Freeman","raw_affiliation_strings":["Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, USA","Massachusetts Institute of Technology,Computer Science and Artificial Intelligence Laboratory"],"affiliations":[{"raw_affiliation_string":"Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, USA","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Massachusetts Institute of Technology,Computer Science and Artificial Intelligence Laboratory","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086941896"],"corresponding_institution_ids":["https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":13.9005,"has_fulltext":false,"cited_by_count":233,"citation_normalized_percentile":{"value":0.99183849,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"553","last_page":"560"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6614001989364624},{"id":"https://openalex.org/keywords/photography","display_name":"Photography","score":0.6592502593994141},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.6127412915229797},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.5648426413536072},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5539678931236267},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5150806307792664},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32843834161758423},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1361110806465149},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10852017998695374},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.0895199179649353},{"id":"https://openalex.org/keywords/visual-arts","display_name":"Visual arts","score":0.07699015736579895},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.06972530484199524}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6614001989364624},{"id":"https://openalex.org/C119657128","wikidata":"https://www.wikidata.org/wiki/Q11633","display_name":"Photography","level":2,"score":0.6592502593994141},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.6127412915229797},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.5648426413536072},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5539678931236267},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5150806307792664},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32843834161758423},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1361110806465149},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10852017998695374},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0895199179649353},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.07699015736579895},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.06972530484199524}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cvpr.2010.5540167","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5540167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.176.218","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.176.218","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ai.mit.edu/people/wtf/papers/hasinoff-hdrnoise-2010.pdf","raw_type":"text"},{"id":"pmh:oai:dspace.mit.edu:1721.1/71893","is_oa":true,"landing_page_url":"http://hdl.handle.net/1721.1/71893","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE","raw_type":"http://purl.org/eprint/type/ConferencePaper"}],"best_oa_location":{"id":"pmh:oai:dspace.mit.edu:1721.1/71893","is_oa":true,"landing_page_url":"http://hdl.handle.net/1721.1/71893","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE","raw_type":"http://purl.org/eprint/type/ConferencePaper"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1171700966","display_name":null,"funder_award_id":"NSF CAREER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G1638804382","display_name":null,"funder_award_id":"44756","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3631313543","display_name":null,"funder_award_id":"Fellowship","funder_id":"https://openalex.org/F4320308943","funder_display_name":"Microsoft Research"},{"id":"https://openalex.org/G4952545190","display_name":null,"funder_award_id":"Fellowship","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G5185872690","display_name":"CAREER:    Transient Signal Processing for Realistic Imagery","funder_award_id":"0447561","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6092957275","display_name":null,"funder_award_id":"447561","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6671297155","display_name":null,"funder_award_id":"CAREER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6894402473","display_name":null,"funder_award_id":"Fellowship","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7493615201","display_name":null,"funder_award_id":"00014-06-1-073","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G856527327","display_name":null,"funder_award_id":"Postdoctoral","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320308943","display_name":"Microsoft Research","ror":"https://ror.org/00d0nc645"},{"id":"https://openalex.org/F4320333591","display_name":"Multidisciplinary University Research Initiative","ror":null},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W196449815","https://openalex.org/W1607822286","https://openalex.org/W1978991912","https://openalex.org/W2065223629","https://openalex.org/W2069281566","https://openalex.org/W2072041096","https://openalex.org/W2073722554","https://openalex.org/W2082136663","https://openalex.org/W2100637129","https://openalex.org/W2104931151","https://openalex.org/W2107138380","https://openalex.org/W2113544260","https://openalex.org/W2120221363","https://openalex.org/W2122955768","https://openalex.org/W2130700878","https://openalex.org/W2145502302","https://openalex.org/W2150980285","https://openalex.org/W2159736423","https://openalex.org/W2160980236","https://openalex.org/W2163446914","https://openalex.org/W2222122796","https://openalex.org/W2244684328","https://openalex.org/W2258534241","https://openalex.org/W2540260254","https://openalex.org/W4236229596","https://openalex.org/W6607932952","https://openalex.org/W6671256072"],"related_works":["https://openalex.org/W2884377208","https://openalex.org/W2525745698","https://openalex.org/W2152030049","https://openalex.org/W2564543331","https://openalex.org/W2410869481","https://openalex.org/W2466475649","https://openalex.org/W1967888462","https://openalex.org/W2371190228","https://openalex.org/W4224781608","https://openalex.org/W1939253538"],"abstract_inverted_index":{"Taking":[0],"multiple":[1],"exposures":[2],"is":[3,21],"a":[4,36,45,87,101],"well-established":[5],"approach":[6,31],"both":[7,154],"for":[8,16,140,153],"capturing":[9,78],"high":[10],"dynamic":[11],"range":[12],"(HDR)":[13],"scenes":[14],"and":[15,71,75,156],"noise":[17],"reduction.":[18],"But":[19],"what":[20],"the":[22,59,79,83,120,133,141],"optimal":[23,63,95],"set":[24,37],"of":[25,38,82,90,146],"photos":[26,39],"to":[27,32,107,128],"capture?":[28],"The":[29],"typical":[30,108],"HDR":[33,109],"capture":[34,60,96,122,139],"uses":[35,68],"with":[40,62],"geometrically-spaced":[41],"exposure":[42],"times,":[43],"at":[44],"fixed":[46],"ISO":[47,50,73],"setting":[48],"(typically":[49],"100":[51],"or":[52,136],"200).":[53],"By":[54],"contrast,":[55],"we":[56,92],"show":[57,93],"that":[58,94],"sequence":[61],"worst-case":[64,117],"performance,":[65],"in":[66,119,132],"general,":[67],"much":[69,137],"higher":[70,116],"variable":[72],"settings,":[74],"spends":[76],"longer":[77],"dark":[80],"parts":[81],"scene.":[84],"Based":[85],"on":[86],"detailed":[88],"model":[89],"noise,":[91],"can":[97],"be":[98],"formulated":[99],"as":[100],"mixed":[102],"integer":[103],"programming":[104],"problem.":[105],"Compared":[106],"capture,":[110],"our":[111],"method":[112],"lets":[113],"us":[114],"achieve":[115],"SNR":[118],"same":[121,142],"time":[123],"(for":[124],"some":[125],"cameras,":[126],"up":[127],"19":[129],"dB":[130],"improvement":[131],"darkest":[134],"regions),":[135],"faster":[138],"minimum":[143],"acceptable":[144],"level":[145],"SNR.":[147],"Our":[148],"experiments":[149],"demonstrate":[150],"this":[151],"advantage":[152],"real":[155],"synthetic":[157],"scenes.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":28},{"year":2020,"cited_by_count":18},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":13},{"year":2016,"cited_by_count":16},{"year":2015,"cited_by_count":19},{"year":2014,"cited_by_count":19},{"year":2013,"cited_by_count":13},{"year":2012,"cited_by_count":18}],"updated_date":"2026-04-19T08:26:33.389920","created_date":"2025-10-10T00:00:00"}