{"id":"https://openalex.org/W1994404930","doi":"https://doi.org/10.1109/icip.2013.6738230","title":"Boosting “shotgun denoising” by patch normalization","display_name":"Boosting “shotgun denoising” by patch normalization","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W1994404930","doi":"https://doi.org/10.1109/icip.2013.6738230","mag":"1994404930"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2013.6738230","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738230","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Image Processing","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/A5069091337","display_name":"Nicola Pierazzo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210150889","display_name":"Center for MathematicaL studies and their Applications","ror":"https://ror.org/05pabaz56","country_code":"FR","type":"facility","lineage":["https://openalex.org/I11559806","https://openalex.org/I1294671590","https://openalex.org/I277688954","https://openalex.org/I4210141950","https://openalex.org/I4210150889"]},{"id":"https://openalex.org/I11559806","display_name":"\u00c9cole Normale Sup\u00e9rieure Paris-Saclay","ror":"https://ror.org/00hx6zz33","country_code":"FR","type":"education","lineage":["https://openalex.org/I11559806","https://openalex.org/I277688954"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Nicola Pierazzo","raw_affiliation_strings":["CMLA, ENS Cachan, France","[CMLA-ENS Cachan, Cachan, France]"],"affiliations":[{"raw_affiliation_string":"CMLA, ENS Cachan, France","institution_ids":["https://openalex.org/I4210150889","https://openalex.org/I11559806"]},{"raw_affiliation_string":"[CMLA-ENS Cachan, Cachan, France]","institution_ids":["https://openalex.org/I11559806"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103809449","display_name":"Mart\u00edn Rais","orcid":null},"institutions":[{"id":"https://openalex.org/I50441567","display_name":"Universitat de les Illes Balears","ror":"https://ror.org/03e10x626","country_code":"ES","type":"education","lineage":["https://openalex.org/I50441567"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Martin Rais","raw_affiliation_strings":["Dpt. Matematiques i Informatica, UIB, Palma de Mallorca, Spain","Dept. Mat. i Inf., UIB, Palma de Mallorca, Spain"],"affiliations":[{"raw_affiliation_string":"Dpt. Matematiques i Informatica, UIB, Palma de Mallorca, Spain","institution_ids":["https://openalex.org/I50441567"]},{"raw_affiliation_string":"Dept. Mat. i Inf., UIB, Palma de Mallorca, Spain","institution_ids":["https://openalex.org/I50441567"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5069091337"],"corresponding_institution_ids":["https://openalex.org/I11559806","https://openalex.org/I4210150889"],"apc_list":null,"apc_paid":null,"fwci":0.8165,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.75275771,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"45","issue":null,"first_page":"1115","last_page":"1119"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"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/T10688","display_name":"Image and Signal Denoising Methods","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/T11105","display_name":"Advanced Image Processing Techniques","score":0.998199999332428,"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":0.9973999857902527,"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/normalization","display_name":"Normalization (sociology)","score":0.7803698778152466},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6464362144470215},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5741070508956909},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5734913349151611},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5636913180351257},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5023443698883057},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35592135787010193}],"concepts":[{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.7803698778152466},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6464362144470215},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5741070508956909},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5734913349151611},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5636913180351257},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5023443698883057},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35592135787010193},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2013.6738230","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738230","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W80534854","https://openalex.org/W1965670300","https://openalex.org/W1997063559","https://openalex.org/W1997147589","https://openalex.org/W2020999234","https://openalex.org/W2026019078","https://openalex.org/W2026743440","https://openalex.org/W2037133587","https://openalex.org/W2056370875","https://openalex.org/W2062811295","https://openalex.org/W2068902206","https://openalex.org/W2110764733","https://openalex.org/W2132181908","https://openalex.org/W2136396015","https://openalex.org/W2145607950","https://openalex.org/W2154356998","https://openalex.org/W2157803030","https://openalex.org/W2171011251","https://openalex.org/W2172275395","https://openalex.org/W2326240252","https://openalex.org/W4240726888","https://openalex.org/W6679925227"],"related_works":["https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W4231274751","https://openalex.org/W1549363203","https://openalex.org/W2154063878","https://openalex.org/W2556012038","https://openalex.org/W1489772951","https://openalex.org/W1538046993","https://openalex.org/W2571255492","https://openalex.org/W4239293476"],"abstract_inverted_index":{"A":[0],"recent":[1],"seminal":[2],"paper":[3,50,59],"on":[4,95,112],"the":[5,19,26,47,65,68,84,88,93,103,106],"absolute":[6,37],"bounds":[7],"of":[8,77,105],"image":[9,28],"de-noising":[10],"[1]":[11],"proposes":[12],"a":[13,43,75,80],"patch":[14,66],"denoising":[15],"method":[16,69,89,94],"effectively":[17],"realizing":[18],"minimal":[20],"mean":[21],"square":[22],"error,":[23],"given":[24],"all":[25],"known":[27],"patches.":[29,56,114],"It":[30],"is":[31,90],"extremely":[32],"important":[33],"to":[34,101],"reach":[35],"these":[36],"limits,":[38],"but":[39],"they":[40],"require":[41],"processing":[42],"limitless":[44],"database.":[45],"In":[46,57],"above":[48],"mentioned":[49],"this":[51,58],"database":[52],"had":[53],"10":[54],"billion":[55],"we":[60],"demonstrate":[61],"that":[62,87],"by":[63,74],"factorizing":[64],"space":[67],"can":[70],"be":[71],"sped":[72],"up":[73],"factor":[76],"more":[78],"than":[79],"thousand,":[81],"while":[82],"maintaining":[83],"theoretical":[85],"claim":[86],"optimal.":[91],"Using":[92],"real":[96],"images":[97],"demonstrates":[98],"its":[99],"potential":[100],"beat":[102],"state":[104],"art,":[107],"as":[108],"it":[109],"performs":[110],"better":[111],"difficult":[113]},"counts_by_year":[{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}