{"id":"https://openalex.org/W2162037153","doi":"https://doi.org/10.1109/icip.2009.5414042","title":"Efficient Poisson denoising for photography","display_name":"Efficient Poisson denoising for photography","publication_year":2009,"publication_date":"2009-11-01","ids":{"openalex":"https://openalex.org/W2162037153","doi":"https://doi.org/10.1109/icip.2009.5414042","mag":"2162037153"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2009.5414042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5414042","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"preprint","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/A5002452272","display_name":"Hugues Talbot","orcid":"https://orcid.org/0000-0002-2179-3498"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"H. Talbot","raw_affiliation_strings":["Laboratoire Informatique Equipe A3SI, Universit\u00e8 Paris-Est, Noisy-le-Grand, France"],"affiliations":[{"raw_affiliation_string":"Laboratoire Informatique Equipe A3SI, Universit\u00e8 Paris-Est, Noisy-le-Grand, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090002275","display_name":"Harold Phelippeau","orcid":"https://orcid.org/0009-0000-7503-3331"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"H. Phelippeau","raw_affiliation_strings":["Laboratoire Informatique Equipe A3SI, Universit\u00e8 Paris-Est, Noisy-le-Grand, France"],"affiliations":[{"raw_affiliation_string":"Laboratoire Informatique Equipe A3SI, Universit\u00e8 Paris-Est, Noisy-le-Grand, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067486930","display_name":"Mohamed Akil","orcid":"https://orcid.org/0000-0001-9029-2163"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M. Akil","raw_affiliation_strings":["Laboratoire Informatique Equipe A3SI, Universit\u00e8 Paris-Est, Noisy-le-Grand, France"],"affiliations":[{"raw_affiliation_string":"Laboratoire Informatique Equipe A3SI, Universit\u00e8 Paris-Est, Noisy-le-Grand, France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107218866","display_name":"S. Bara","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Bara","raw_affiliation_strings":["NXP Semiconductors, Caen, France"],"affiliations":[{"raw_affiliation_string":"NXP Semiconductors, Caen, France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5002452272"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9300495,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.82383698,"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":"3881","last_page":"3884"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9997000098228455,"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":0.9997000098228455,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9984999895095825,"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"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9955000281333923,"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/poisson-distribution","display_name":"Poisson distribution","score":0.8185484409332275},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6729104518890381},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.647472620010376},{"id":"https://openalex.org/keywords/shot-noise","display_name":"Shot noise","score":0.6385205984115601},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.6255258917808533},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6078693866729736},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5794766545295715},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5334814786911011},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5179723501205444},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4365577697753906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3922361135482788},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.378140389919281},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37677428126335144},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3529149293899536},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.32913246750831604},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12992846965789795},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07821124792098999}],"concepts":[{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.8185484409332275},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6729104518890381},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.647472620010376},{"id":"https://openalex.org/C72659945","wikidata":"https://www.wikidata.org/wiki/Q1503574","display_name":"Shot noise","level":3,"score":0.6385205984115601},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.6255258917808533},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6078693866729736},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5794766545295715},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5334814786911011},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5179723501205444},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4365577697753906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3922361135482788},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.378140389919281},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37677428126335144},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3529149293899536},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.32913246750831604},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12992846965789795},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07821124792098999},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2009.5414042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5414042","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2021262032","https://openalex.org/W2043099482","https://openalex.org/W2054274917","https://openalex.org/W2083913720","https://openalex.org/W2099046646","https://openalex.org/W2099244020","https://openalex.org/W2163359857","https://openalex.org/W6663771306"],"related_works":["https://openalex.org/W4287028758","https://openalex.org/W3187775112","https://openalex.org/W2019617431","https://openalex.org/W1990998084","https://openalex.org/W2118587210","https://openalex.org/W2499334499","https://openalex.org/W2994944367","https://openalex.org/W2147704231","https://openalex.org/W2337479222","https://openalex.org/W3164401114"],"abstract_inverted_index":{"In":[0,103],"general,":[1],"image":[2,100],"sensor":[3],"noise":[4,36,140],"is":[5,28,53,87],"dominated":[6],"by":[7],"Poisson":[8,35,110],"statistics,":[9],"even":[10],"at":[11],"high":[12],"illumination":[13,84,120],"level,":[14],"yet":[15],"most":[16],"standard":[17,133,147],"denoising":[18],"procedures":[19,93],"often":[20],"assume":[21],"a":[22,31,69],"simpler":[23],"additive":[24,144],"Gaussian":[25,145],"noise,":[26],"which":[27,52,86],"in":[29,64,98],"fact":[30],"poor":[32],"approximation.":[33],"Fortunately,":[34],"can":[37,164],"under":[38,122],"some":[39],"circumstances":[40],"be":[41,78,165],"simplified":[42],"via":[43],"variance":[44],"stabilizing":[45],"methods,":[46],"such":[47,68,92],"as":[48],"the":[49,72,88,99,115,139,159,168],"Anscombe":[50],"transform,":[51],"well":[54],"known":[55,79],"to":[56,66,77,108,113,128,137,143],"statisticians,":[57],"medical":[58],"imaging":[59],"specialists":[60],"and":[61,80,146],"astronomers.":[62],"However,":[63],"order":[65],"use":[67,109,129],"procedure":[70],"effectively,":[71],"actual":[73],"photon":[74,116],"count":[75,117],"needs":[76],"not":[81,95],"simply":[82],"an":[83,155],"intensity,":[85],"main":[89],"reason":[90],"why":[91],"are":[94],"frequently":[96],"used":[97],"processing":[101],"community.":[102],"this":[104],"article,":[105],"we":[106,157],"propose":[107],"distribution":[111],"characteristics":[112],"estimate":[114],"from":[118],"relative":[119],"data,":[121],"simple":[123],"hypotheses.":[124],"This":[125],"allows":[126],"us":[127],"variance-stabilizing":[130],"methods":[131,149],"on":[132],"digital":[134],"photographs.":[135],"Thanks":[136],"this,":[138],"becomes":[141],"close":[142],"filtering":[148],"become":[150],"significantly":[151],"more":[152],"effective.":[153],"As":[154],"example":[156],"exhibit":[158],"level":[160],"of":[161],"improvement":[162],"that":[163],"achieved":[166],"using":[167],"bilateral":[169],"filter.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
