{"id":"https://openalex.org/W4312526003","doi":"https://doi.org/10.1109/lsp.2022.3227522","title":"PoGaIN: Poisson-Gaussian Image Noise Modeling From Paired Samples","display_name":"PoGaIN: Poisson-Gaussian Image Noise Modeling From Paired Samples","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312526003","doi":"https://doi.org/10.1109/lsp.2022.3227522"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2022.3227522","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2022.3227522","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://github.com/IVRL/PoGaIN","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006461367","display_name":"Nicolas B\u00e4hler","orcid":"https://orcid.org/0000-0001-6256-9444"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Nicolas Bahler","raw_affiliation_strings":["Image and Visual Representation Lab (IVRL), School of Computer and Communication Sciences, EPFL, Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"Image and Visual Representation Lab (IVRL), School of Computer and Communication Sciences, EPFL, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059308079","display_name":"Majed El Helou","orcid":"https://orcid.org/0000-0002-7469-2404"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Majed El Helou","raw_affiliation_strings":["Image and Visual Representation Lab (IVRL), School of Computer and Communication Sciences, EPFL, Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"Image and Visual Representation Lab (IVRL), School of Computer and Communication Sciences, EPFL, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043661112","display_name":"\u00c9tienne Objois","orcid":"https://orcid.org/0000-0002-5311-8577"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Etienne Objois","raw_affiliation_strings":["Image and Visual Representation Lab (IVRL), School of Computer and Communication Sciences, EPFL, Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"Image and Visual Representation Lab (IVRL), School of Computer and Communication Sciences, EPFL, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039731314","display_name":"Kaan Okumu\u015f","orcid":"https://orcid.org/0000-0001-9863-3057"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Kaan Okumus","raw_affiliation_strings":["Image and Visual Representation Lab (IVRL), School of Computer and Communication Sciences, EPFL, Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"Image and Visual Representation Lab (IVRL), School of Computer and Communication Sciences, EPFL, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078201467","display_name":"Sabine S\u00fcsstrunk","orcid":"https://orcid.org/0000-0002-0441-6068"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Sabine Susstrunk","raw_affiliation_strings":["Image and Visual Representation Lab (IVRL), School of Computer and Communication Sciences, EPFL, Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"Image and Visual Representation Lab (IVRL), School of Computer and Communication Sciences, EPFL, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5006461367"],"corresponding_institution_ids":["https://openalex.org/I5124864"],"apc_list":null,"apc_paid":null,"fwci":1.0062,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.77349981,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"29","issue":null,"first_page":"2602","last_page":"2606"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9878000020980835,"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":0.9857000112533569,"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/outlier","display_name":"Outlier","score":0.7224206924438477},{"id":"https://openalex.org/keywords/shot-noise","display_name":"Shot noise","score":0.7180981040000916},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.7106908559799194},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.689285159111023},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.6853336095809937},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5961583256721497},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5611535310745239},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5448732972145081},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45518937706947327},{"id":"https://openalex.org/keywords/image-noise","display_name":"Image noise","score":0.4454084634780884},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4354091286659241},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4089561700820923},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3728220462799072},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3607584238052368},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09901276230812073}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7224206924438477},{"id":"https://openalex.org/C72659945","wikidata":"https://www.wikidata.org/wiki/Q1503574","display_name":"Shot noise","level":3,"score":0.7180981040000916},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.7106908559799194},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.689285159111023},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.6853336095809937},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5961583256721497},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5611535310745239},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5448732972145081},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45518937706947327},{"id":"https://openalex.org/C35772409","wikidata":"https://www.wikidata.org/wiki/Q1323086","display_name":"Image noise","level":3,"score":0.4454084634780884},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4354091286659241},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4089561700820923},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3728220462799072},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3607584238052368},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09901276230812073},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"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/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lsp.2022.3227522","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2022.3227522","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"},{"id":"pmh:oai:infoscience.epfl.ch:299053","is_oa":true,"landing_page_url":"https://github.com/IVRL/PoGaIN","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"research article"}],"best_oa_location":{"id":"pmh:oai:infoscience.epfl.ch:299053","is_oa":true,"landing_page_url":"https://github.com/IVRL/PoGaIN","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"research article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2023005931","https://openalex.org/W2048695508","https://openalex.org/W2056370875","https://openalex.org/W2091997118","https://openalex.org/W2108855378","https://openalex.org/W2121927366","https://openalex.org/W2136035751","https://openalex.org/W2160547390","https://openalex.org/W2172275395","https://openalex.org/W2606594217","https://openalex.org/W2662481025","https://openalex.org/W2764207251","https://openalex.org/W2804673835","https://openalex.org/W2904076803","https://openalex.org/W2955354750","https://openalex.org/W2963571608","https://openalex.org/W2968466051","https://openalex.org/W2986193159","https://openalex.org/W3095202519","https://openalex.org/W3101559505","https://openalex.org/W3109500538","https://openalex.org/W3127080867","https://openalex.org/W3171662904","https://openalex.org/W4210606724","https://openalex.org/W4226347967","https://openalex.org/W4282935701","https://openalex.org/W6980730333"],"related_works":["https://openalex.org/W4287028758","https://openalex.org/W3187775112","https://openalex.org/W2019617431","https://openalex.org/W1990998084","https://openalex.org/W2499334499","https://openalex.org/W2994944367","https://openalex.org/W2118587210","https://openalex.org/W1584319512","https://openalex.org/W2147704231","https://openalex.org/W2337479222"],"abstract_inverted_index":{"Image":[0],"noise":[1,68],"can":[2],"often":[3],"be":[4],"accurately":[5],"fitted":[6],"to":[7,43,51],"a":[8,17,22,62],"Poisson-Gaussian":[9,67],"distribution.":[10],"However,":[11],"estimating":[12],"the":[13,28,45,97],"distribution":[14],"parameters":[15],"from":[16,70],"noisy":[18,32],"image":[19,72,90],"only":[20],"is":[21,40],"challenging":[23],"task.":[24],"Here,":[25],"we":[26,60],"study":[27],"case":[29],"when":[30],"paired":[31,71],"and":[33,92,103],"noise-free":[34,46],"samples":[35],"are":[36],"accessible.":[37],"No":[38],"method":[39],"currently":[41],"available":[42],"exploit":[44],"information,":[47],"which":[48],"may":[49],"help":[50],"achieve":[52],"more":[53],"accurate":[54],"estimations.":[55],"To":[56],"fill":[57],"this":[58],"gap,":[59],"derive":[61,96],"novel,":[63],"cumulant-based,":[64],"approach":[65],"for":[66,100],"modeling":[69],"samples.":[73],"We":[74,94],"show":[75],"its":[76],"improved":[77],"performance":[78],"over":[79],"different":[80],"baselines,":[81],"with":[82],"special":[83],"emphasis":[84],"on":[85],"MSE,":[86],"effect":[87],"of":[88],"outliers,":[89],"dependence,":[91],"bias.":[93],"additionally":[95],"log-likelihood":[98],"function":[99],"further":[101],"insights":[102],"discuss":[104],"real-world":[105],"applicability.":[106]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}