{"id":"https://openalex.org/W2192321320","doi":"https://doi.org/10.1145/2824840.2824847","title":"HDR image noise estimation for denoising tone mapped images","display_name":"HDR image noise estimation for denoising tone mapped images","publication_year":2015,"publication_date":"2015-11-24","ids":{"openalex":"https://openalex.org/W2192321320","doi":"https://doi.org/10.1145/2824840.2824847","mag":"2192321320"},"language":"en","primary_location":{"id":"doi:10.1145/2824840.2824847","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2824840.2824847","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th European Conference on Visual Media Production","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/A5047873377","display_name":"Miguel Granados","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Miguel Granados","raw_affiliation_strings":["MPI for Informatics"],"affiliations":[{"raw_affiliation_string":"MPI for Informatics","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109504462","display_name":"Tun\u00e7 Ozan Ayd\u0131n","orcid":"https://orcid.org/0009-0002-0415-1415"},"institutions":[{"id":"https://openalex.org/I4210142140","display_name":"Walt Disney (United States)","ror":"https://ror.org/04eg47h42","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142140"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tun\u00e7 Ozan Ayd\u0131n","raw_affiliation_strings":["Disney Research"],"affiliations":[{"raw_affiliation_string":"Disney Research","institution_ids":["https://openalex.org/I4210142140"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108374456","display_name":"J. Rafael Tena","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142140","display_name":"Walt Disney (United States)","ror":"https://ror.org/04eg47h42","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142140"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Rafael Tena","raw_affiliation_strings":["Disney Research"],"affiliations":[{"raw_affiliation_string":"Disney Research","institution_ids":["https://openalex.org/I4210142140"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034761030","display_name":"Jean\u2010Fran\u00e7ois Lalonde","orcid":"https://orcid.org/0000-0002-6583-2364"},"institutions":[{"id":"https://openalex.org/I43406934","display_name":"Universit\u00e9 Laval","ror":"https://ror.org/04sjchr03","country_code":"CA","type":"education","lineage":["https://openalex.org/I43406934"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jean-Fran\u00e7ois Lalonde","raw_affiliation_strings":["Laval University"],"affiliations":[{"raw_affiliation_string":"Laval University","institution_ids":["https://openalex.org/I43406934"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020664641","display_name":"Christian Theobalt","orcid":"https://orcid.org/0000-0001-6104-6625"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christian Theobalt","raw_affiliation_strings":["MPI for Informatics"],"affiliations":[{"raw_affiliation_string":"MPI for Informatics","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5047873377"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7482,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.7978947,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement 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/T11019","display_name":"Image Enhancement 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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994999766349792,"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/T11666","display_name":"Color Science and Applications","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"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/tone-mapping","display_name":"Tone mapping","score":0.9029053449630737},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7001851797103882},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.693890392780304},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6843017339706421},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6065776348114014},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5928728580474854},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5655832290649414},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.5289485454559326},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.49695518612861633},{"id":"https://openalex.org/keywords/bilateral-filter","display_name":"Bilateral filter","score":0.47003433108329773},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.44343826174736023},{"id":"https://openalex.org/keywords/tone","display_name":"Tone (literature)","score":0.411873459815979},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.37950077652931213},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.3267626166343689},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22018995881080627},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08285123109817505}],"concepts":[{"id":"https://openalex.org/C8641274","wikidata":"https://www.wikidata.org/wiki/Q1030958","display_name":"Tone mapping","level":4,"score":0.9029053449630737},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7001851797103882},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.693890392780304},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6843017339706421},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6065776348114014},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5928728580474854},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5655832290649414},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.5289485454559326},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.49695518612861633},{"id":"https://openalex.org/C156140930","wikidata":"https://www.wikidata.org/wiki/Q860417","display_name":"Bilateral filter","level":3,"score":0.47003433108329773},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.44343826174736023},{"id":"https://openalex.org/C2780583480","wikidata":"https://www.wikidata.org/wiki/Q1366327","display_name":"Tone (literature)","level":2,"score":0.411873459815979},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.37950077652931213},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.3267626166343689},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22018995881080627},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08285123109817505},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2824840.2824847","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2824840.2824847","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th European Conference on Visual Media Production","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.mpg.de:item_2241585","is_oa":false,"landing_page_url":"http://hdl.handle.net/11858/00-001M-0000-0029-5335-0","pdf_url":null,"source":{"id":"https://openalex.org/S4306400654","display_name":"MPG.PuRe (Max Planck Society)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149899117","host_organization_name":"Max Planck Society","host_organization_lineage":["https://openalex.org/I149899117"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the 12th European Conference on Visual Media Production","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1485044962","https://openalex.org/W1548953334","https://openalex.org/W1846689784","https://openalex.org/W1970928574","https://openalex.org/W1976689962","https://openalex.org/W1987844198","https://openalex.org/W1991970753","https://openalex.org/W1997147589","https://openalex.org/W1998419211","https://openalex.org/W2021347102","https://openalex.org/W2030716039","https://openalex.org/W2042851294","https://openalex.org/W2042953108","https://openalex.org/W2056370875","https://openalex.org/W2064619906","https://openalex.org/W2071927195","https://openalex.org/W2072041096","https://openalex.org/W2081418963","https://openalex.org/W2097073572","https://openalex.org/W2099244020","https://openalex.org/W2110160532","https://openalex.org/W2133665775","https://openalex.org/W2136035751","https://openalex.org/W2159736423","https://openalex.org/W2237445422","https://openalex.org/W2240434622","https://openalex.org/W2242047952","https://openalex.org/W2244684328","https://openalex.org/W2997077506","https://openalex.org/W2998514558","https://openalex.org/W2999388423","https://openalex.org/W4205640666","https://openalex.org/W4210764419"],"related_works":["https://openalex.org/W2884377208","https://openalex.org/W2014689642","https://openalex.org/W2410869481","https://openalex.org/W1939253538","https://openalex.org/W2028994033","https://openalex.org/W2063779402","https://openalex.org/W2162796060","https://openalex.org/W2065738242","https://openalex.org/W2737661967","https://openalex.org/W2008321379"],"abstract_inverted_index":{"Tone":[0],"mapping":[1,48],"operators":[2],"are":[3],"designed":[4],"to":[5,60,73,90],"compress":[6],"the":[7,18,29,53,57,62,75,80,96,126,130],"dynamic":[8,12],"range":[9,13,63],"of":[10,56,65,104],"high":[11],"(HDR)":[14],"images":[15,43,132],"while":[16],"preserving":[17],"perceived":[19],"image":[20,26,59,98],"brightness,":[21],"but":[22],"they":[23],"often":[24],"enhance":[25],"noise":[27,41,54,81],"in":[28,32,42,108],"process,":[30],"specially":[31],"low-light":[33],"conditions.":[34],"We":[35],"propose":[36],"a":[37,66,87,135],"method":[38,89,115],"for":[39],"reducing":[40],"created":[44],"by":[45],"any":[46],"tone":[47,76],"operator.":[49],"Our":[50,114],"approach":[51],"leverages":[52],"distribution":[55,82],"HDR":[58,97,128],"guide":[61],"kernel":[64],"cross":[67],"bilateral":[68],"filter":[69],"that":[70,95,139],"is":[71,83],"used":[72],"denoise":[74],"mapped":[77],"image.":[78],"When":[79],"unknown,":[84],"we":[85],"use":[86],"new":[88],"automatically":[91],"estimate":[92],"it":[93,140],"assuming":[94],"was":[99],"produced":[100],"as":[101],"an":[102],"average":[103],"multiple":[105],"exposures":[106],"taken":[107],"RAW":[109],"or":[110,129],"JPEG":[111],"compressed":[112],"format.":[113],"performs":[116],"quantitatively":[117],"better":[118],"than":[119],"existing":[120],"denoising":[121],"methods":[122],"applied":[123],"on":[124],"either":[125],"original":[127],"tone-mapped":[131],"directly,":[133],"and":[134],"user":[136],"study":[137],"confirms":[138],"produces":[141],"visually":[142],"preferable":[143],"results.":[144]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}