{"id":"https://openalex.org/W2073696990","doi":"https://doi.org/10.1109/icip.2011.6116477","title":"Point object detection using a NL-means type filter","display_name":"Point object detection using a NL-means type filter","publication_year":2011,"publication_date":"2011-09-01","ids":{"openalex":"https://openalex.org/W2073696990","doi":"https://doi.org/10.1109/icip.2011.6116477","mag":"2073696990"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2011.6116477","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2011.6116477","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 18th 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/A5035380117","display_name":"Laure Genin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Laure Genin","raw_affiliation_strings":["EADS Astrium, Toulouse, France","EADS Astrium - 31, rue des Cosmonautes, Z.I. du Palays, 31402 Toulouse Cedex 4, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EADS Astrium, Toulouse, France","institution_ids":[]},{"raw_affiliation_string":"EADS Astrium - 31, rue des Cosmonautes, Z.I. du Palays, 31402 Toulouse Cedex 4, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052469261","display_name":"Fr\u00e9d\u00e9ric Champagnat","orcid":"https://orcid.org/0000-0003-4007-4955"},"institutions":[{"id":"https://openalex.org/I2801658355","display_name":"Office National d'\u00c9tudes et de Recherches A\u00e9rospatiales","ror":"https://ror.org/005y2ap84","country_code":"FR","type":"facility","lineage":["https://openalex.org/I2801658355"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Frederic Champagnat","raw_affiliation_strings":["The French AeroSpace Lab, Onera, Palaiseau, France","Onera - The French Aerospace Lab, F-91761 Palaiseau, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The French AeroSpace Lab, Onera, Palaiseau, France","institution_ids":["https://openalex.org/I2801658355"]},{"raw_affiliation_string":"Onera - The French Aerospace Lab, F-91761 Palaiseau, France","institution_ids":["https://openalex.org/I2801658355"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045836733","display_name":"Guy Le Besnerais","orcid":"https://orcid.org/0000-0003-4922-8017"},"institutions":[{"id":"https://openalex.org/I2801658355","display_name":"Office National d'\u00c9tudes et de Recherches A\u00e9rospatiales","ror":"https://ror.org/005y2ap84","country_code":"FR","type":"facility","lineage":["https://openalex.org/I2801658355"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Guy Le Besnerais","raw_affiliation_strings":["The French AeroSpace Lab, Onera, Palaiseau, France","Onera - The French Aerospace Lab, F-91761 Palaiseau, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The French AeroSpace Lab, Onera, Palaiseau, France","institution_ids":["https://openalex.org/I2801658355"]},{"raw_affiliation_string":"Onera - The French Aerospace Lab, F-91761 Palaiseau, France","institution_ids":["https://openalex.org/I2801658355"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066450199","display_name":"Laurent Coret","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Laurent Coret","raw_affiliation_strings":["EADS Astrium, Toulouse, France","EADS Astrium - 31, rue des Cosmonautes, Z.I. du Palays, 31402 Toulouse Cedex 4, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EADS Astrium, Toulouse, France","institution_ids":[]},{"raw_affiliation_string":"EADS Astrium - 31, rue des Cosmonautes, Z.I. du Palays, 31402 Toulouse Cedex 4, France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5234,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.69446965,"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":"3533","last_page":"3536"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9995999932289124,"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":0.9995999932289124,"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/T10331","display_name":"Video Surveillance and Tracking Methods","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/T11019","display_name":"Image Enhancement Techniques","score":0.9987000226974487,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7469946146011353},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6924238801002502},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.658090353012085},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6383702158927917},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6045507788658142},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5992769598960876},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5857665538787842},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5814801454544067},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5227996110916138},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5018901824951172},{"id":"https://openalex.org/keywords/motion-detection","display_name":"Motion detection","score":0.4138648211956024},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.367046058177948},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3489232659339905},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23046496510505676}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7469946146011353},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6924238801002502},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.658090353012085},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6383702158927917},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6045507788658142},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5992769598960876},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5857665538787842},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5814801454544067},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5227996110916138},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5018901824951172},{"id":"https://openalex.org/C2780624872","wikidata":"https://www.wikidata.org/wiki/Q852453","display_name":"Motion detection","level":3,"score":0.4138648211956024},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.367046058177948},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3489232659339905},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23046496510505676},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2011.6116477","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2011.6116477","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 18th IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5299999713897705,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1974539967","https://openalex.org/W2017399967","https://openalex.org/W2077620506","https://openalex.org/W2097073572","https://openalex.org/W2169733476"],"related_works":["https://openalex.org/W3135697610","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W3162303681","https://openalex.org/W3204216905","https://openalex.org/W2017155773","https://openalex.org/W2911525783","https://openalex.org/W4376454785","https://openalex.org/W188808486","https://openalex.org/W3158873841"],"abstract_inverted_index":{"A":[0,75],"new":[1],"algorithm":[2],"is":[3,52,79,96],"proposed":[4],"to":[5,54,58,99],"detect":[6],"small":[7],"objects":[8,70],"by":[9,24,35],"background":[10,29,47,91,105],"suppression.":[11],"It":[12],"relies":[13],"on":[14,40],"a":[15,36],"modified":[16,53],"version":[17],"of":[18,86],"the":[19,41,49,84],"non-local":[20],"means":[21],"filter":[22,65],"introduced":[23],"Buades":[25],"et":[26],"al.":[27],"for":[28],"prediction.":[30],"Background":[31],"pixels":[32],"are":[33],"estimated":[34],"weighted":[37],"average":[38],"depending":[39],"similarity":[42,50],"between":[43],"neighborhoods":[44],"pixels.":[45],"For":[46],"suppression,":[48],"criterion":[51],"be":[55],"less":[56],"sensitive":[57],"point":[59,69],"object":[60,101],"presence.":[61],"The":[62],"resulting":[63],"D-NLM":[64],"better":[66],"detects":[67],"dim":[68],"than":[71],"current":[72],"detection":[73],"filters.":[74,114],"straightforward":[76],"spatio-temporal":[77,113],"extension":[78],"also":[80],"proposed,":[81],"it":[82,109],"has":[83],"advantage":[85],"not":[87],"requiring":[88],"prior":[89],"accurate":[90],"motion":[92,106],"compensation.":[93],"Our":[94],"method":[95],"well":[97],"adapted":[98],"slow":[100],"velocity":[102],"and":[103],"large":[104],"contexts,":[107],"where":[108],"outperforms":[110],"significantly":[111],"conventional":[112]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}