{"id":"https://openalex.org/W2342579688","doi":"https://doi.org/10.1117/12.2223740","title":"Memory efficient and constant time 2D-recursive spatial averaging filter for embedded implementations","display_name":"Memory efficient and constant time 2D-recursive spatial averaging filter for embedded implementations","publication_year":2016,"publication_date":"2016-04-29","ids":{"openalex":"https://openalex.org/W2342579688","doi":"https://doi.org/10.1117/12.2223740","mag":"2342579688"},"language":"en","primary_location":{"id":"doi:10.1117/12.2223740","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2223740","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5043941366","display_name":"Qifeng Gan","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Qifeng Gan","raw_affiliation_strings":["DIAGNOS Inc. (Canada)"],"affiliations":[{"raw_affiliation_string":"DIAGNOS Inc. (Canada)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071088447","display_name":"Lama S\u00e9oud","orcid":"https://orcid.org/0000-0001-8209-5282"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lama Seoud","raw_affiliation_strings":["DIAGNOS Inc. (Canada)"],"affiliations":[{"raw_affiliation_string":"DIAGNOS Inc. (Canada)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085625659","display_name":"Houssem Ben Tahar","orcid":"https://orcid.org/0000-0002-0330-6000"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Houssem Ben Tahar","raw_affiliation_strings":["DIAGNOS Inc. (Canada)"],"affiliations":[{"raw_affiliation_string":"DIAGNOS Inc. (Canada)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032933923","display_name":"J. M. Pierre Langlois","orcid":"https://orcid.org/0000-0003-1721-2520"},"institutions":[{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"J.M. Pierre Langlois","raw_affiliation_strings":["Ecole Polytechnique de Montr\u00e9al (Canada)"],"affiliations":[{"raw_affiliation_string":"Ecole Polytechnique de Montr\u00e9al (Canada)","institution_ids":["https://openalex.org/I45683168"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5043941366"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02254267,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9897","issue":null,"first_page":"989705","last_page":"989705"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9980000257492065,"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":0.9980000257492065,"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":0.9962000250816345,"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7357794046401978},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.6011161804199219},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5886709094047546},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.5652450919151306},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.5551865100860596},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.508169412612915},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4998137950897217},{"id":"https://openalex.org/keywords/memory-management","display_name":"Memory management","score":0.4454023241996765},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4172074794769287},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.41616716980934143},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.33240652084350586},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3259589672088623},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18292275071144104},{"id":"https://openalex.org/keywords/semiconductor-memory","display_name":"Semiconductor memory","score":0.16899645328521729},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1679409146308899},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.13277027010917664},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.10111767053604126}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7357794046401978},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.6011161804199219},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5886709094047546},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.5652450919151306},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.5551865100860596},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.508169412612915},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4998137950897217},{"id":"https://openalex.org/C176649486","wikidata":"https://www.wikidata.org/wiki/Q2308807","display_name":"Memory management","level":3,"score":0.4454023241996765},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4172074794769287},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.41616716980934143},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.33240652084350586},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3259589672088623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18292275071144104},{"id":"https://openalex.org/C98986596","wikidata":"https://www.wikidata.org/wiki/Q1143031","display_name":"Semiconductor memory","level":2,"score":0.16899645328521729},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1679409146308899},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.13277027010917664},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.10111767053604126},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1117/12.2223740","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2223740","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},{"id":"pmh:oai:cisti-icist.nrc-cnrc.ca:cistinparc:23000998","is_oa":false,"landing_page_url":"http://nparc.nrc-cnrc.gc.ca/eng/view/object/?id=4e9b0bf2-eae9-4d36-9d86-4ea3d85898e8","pdf_url":null,"source":{"id":"https://openalex.org/S7407055245","display_name":"NPARC","issn_l":null,"issn":null,"is_oa":false,"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":null,"raw_type":"article"},{"id":"pmh:oai:publications.polymtl.ca:35753","is_oa":false,"landing_page_url":"https://publications.polymtl.ca/35753/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401013","display_name":"PolyPublie (\u00c9cole Polytechnique de Montr\u00e9al)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45683168","host_organization_name":"Polytechnique Montr\u00e9al","host_organization_lineage":["https://openalex.org/I45683168"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Communication de conf\u00e9rence"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1968806145","https://openalex.org/W2055494804","https://openalex.org/W2061129440","https://openalex.org/W2078384949","https://openalex.org/W2113587591","https://openalex.org/W6664191841","https://openalex.org/W6677173525"],"related_works":["https://openalex.org/W1978572805","https://openalex.org/W2120447654","https://openalex.org/W2977179488","https://openalex.org/W2383807498","https://openalex.org/W1997992934","https://openalex.org/W2144453115","https://openalex.org/W1987225439","https://openalex.org/W4238188170","https://openalex.org/W2128223750","https://openalex.org/W4238532390"],"abstract_inverted_index":{"Spatial":[0],"Averaging":[1],"Filters":[2],"(SAF)":[3],"are":[4],"extensively":[5],"used":[6],"in":[7,48],"image":[8,11],"processing":[9],"for":[10,38,124],"smoothing":[12],"and":[13,67],"denoising.":[14],"Their":[15],"latest":[16],"implementations":[17,92],"have":[18],"already":[19],"achieved":[20],"constant":[21,77],"time":[22,78,109],"computational":[23,79,108],"complexity":[24,80],"regardless":[25],"of":[26],"kernel":[27],"size.":[28],"However,":[29],"all":[30],"the":[31,71,95,112],"existing":[32,115],"<i>O</i>(1)":[33],"algorithms":[34],"require":[35,101],"additional":[36,84,103],"memory":[37,46,85,104,129],"temporary":[39],"data":[40],"storage.":[41],"In":[42],"order":[43],"to":[44,69,111],"minimize":[45],"usage":[47],"embedded":[49,125],"systems,":[50],"we":[51],"introduce":[52],"a":[53,107],"new":[54],"two-dimensional":[55],"recursive":[56],"SAF.":[57],"It":[58,74],"uses":[59],"previous":[60,90],"resultant":[61],"pixel":[62],"values":[63],"along":[64],"both":[65],"rows":[66],"columns":[68],"calculate":[70],"current":[72],"one.":[73],"can":[75],"achieve":[76],"without":[81],"using":[82],"any":[83,102],"usage.":[86],"Experimental":[87],"comparisons":[88],"with":[89,127],"SAF":[91,98,116],"shows":[93],"that":[94],"proposed":[96],"2D-Recursive":[97],"does":[99],"not":[100],"while":[105],"offering":[106],"similar":[110],"most":[113],"efficient":[114],"algorithm.":[117],"These":[118],"features":[119],"make":[120],"it":[121],"especially":[122],"suitable":[123],"systems":[126],"limited":[128],"capacity.":[130]},"counts_by_year":[],"updated_date":"2026-03-02T08:37:19.008085","created_date":"2025-10-10T00:00:00"}
