{"id":"https://openalex.org/W2763538132","doi":"https://doi.org/10.1145/3123939.3123941","title":"IDEAL","display_name":"IDEAL","publication_year":2017,"publication_date":"2017-10-04","ids":{"openalex":"https://openalex.org/W2763538132","doi":"https://doi.org/10.1145/3123939.3123941","mag":"2763538132"},"language":"en","primary_location":{"id":"doi:10.1145/3123939.3123941","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3123939.3123941","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture","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/A5103806733","display_name":"Mostafa Mahmoud","orcid":"https://orcid.org/0000-0002-9100-7966"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Mostafa Mahmoud","raw_affiliation_strings":["University of Toronto"],"affiliations":[{"raw_affiliation_string":"University of Toronto","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053912518","display_name":"Bojian Zheng","orcid":"https://orcid.org/0000-0002-1999-2359"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Bojian Zheng","raw_affiliation_strings":["University of Toronto"],"affiliations":[{"raw_affiliation_string":"University of Toronto","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020334704","display_name":"Alberto Delm\u00e1s Lascorz","orcid":"https://orcid.org/0009-0006-2487-250X"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Alberto Delm\u00e1s Lascorz","raw_affiliation_strings":["University of Toronto"],"affiliations":[{"raw_affiliation_string":"University of Toronto","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059313827","display_name":"Felix Heide","orcid":"https://orcid.org/0000-0002-8054-9823"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Felix Heide","raw_affiliation_strings":["Stanford University/Algolux"],"affiliations":[{"raw_affiliation_string":"Stanford University/Algolux","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085335852","display_name":"Jonathan Assouline","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jonathan Assouline","raw_affiliation_strings":["Algolux"],"affiliations":[{"raw_affiliation_string":"Algolux","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108514694","display_name":"Paul Boucher","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Paul Boucher","raw_affiliation_strings":["Algolux"],"affiliations":[{"raw_affiliation_string":"Algolux","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064765410","display_name":"Emmanuel Onzon","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Emmanuel Onzon","raw_affiliation_strings":["Algolux"],"affiliations":[{"raw_affiliation_string":"Algolux","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072544251","display_name":"Andreas Moshovos","orcid":"https://orcid.org/0000-0001-7768-367X"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Andreas Moshovos","raw_affiliation_strings":["University of Toronto"],"affiliations":[{"raw_affiliation_string":"University of Toronto","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5103806733"],"corresponding_institution_ids":["https://openalex.org/I185261750"],"apc_list":null,"apc_paid":null,"fwci":1.0012,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.85299069,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"201","issue":null,"first_page":"82","last_page":"95"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9988999962806702,"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":0.9988999962806702,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9972000122070312,"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":0.8202594518661499},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5723710060119629},{"id":"https://openalex.org/keywords/pipeline-transport","display_name":"Pipeline transport","score":0.5591750741004944},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.5583232045173645},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5408528447151184},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5040944814682007},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.45170462131500244},{"id":"https://openalex.org/keywords/software-implementation","display_name":"Software implementation","score":0.4430381655693054},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4360525608062744},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.416521281003952},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3506886661052704},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2792308032512665},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.20069962739944458},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09705868363380432},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08495885133743286}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8202594518661499},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5723710060119629},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.5591750741004944},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5583232045173645},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5408528447151184},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5040944814682007},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.45170462131500244},{"id":"https://openalex.org/C2983609787","wikidata":"https://www.wikidata.org/wiki/Q10534782","display_name":"Software implementation","level":3,"score":0.4430381655693054},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4360525608062744},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.416521281003952},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3506886661052704},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2792308032512665},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.20069962739944458},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09705868363380432},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08495885133743286},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3123939.3123941","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3123939.3123941","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.9100000262260437}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W36249753","https://openalex.org/W1492554587","https://openalex.org/W1517606245","https://openalex.org/W1580063973","https://openalex.org/W1981276685","https://openalex.org/W1986989509","https://openalex.org/W1996359063","https://openalex.org/W2003884262","https://openalex.org/W2013062050","https://openalex.org/W2013073142","https://openalex.org/W2021347102","https://openalex.org/W2037642501","https://openalex.org/W2041625018","https://openalex.org/W2048266589","https://openalex.org/W2056370875","https://openalex.org/W2065343236","https://openalex.org/W2073014075","https://openalex.org/W2075960179","https://openalex.org/W2089666999","https://openalex.org/W2097073572","https://openalex.org/W2098477387","https://openalex.org/W2105119246","https://openalex.org/W2108382860","https://openalex.org/W2113945798","https://openalex.org/W2119979974","https://openalex.org/W2122410868","https://openalex.org/W2125527601","https://openalex.org/W2126157935","https://openalex.org/W2134311243","https://openalex.org/W2135065661","https://openalex.org/W2137577808","https://openalex.org/W2153663612","https://openalex.org/W2162639668","https://openalex.org/W2166648369","https://openalex.org/W2170382128","https://openalex.org/W2184976293","https://openalex.org/W2219260334","https://openalex.org/W2312399745","https://openalex.org/W2397933149","https://openalex.org/W2487600416","https://openalex.org/W2556872594","https://openalex.org/W2562294437","https://openalex.org/W2567655207","https://openalex.org/W2605998369","https://openalex.org/W2845071070","https://openalex.org/W2978711929","https://openalex.org/W3009257679","https://openalex.org/W3164946359","https://openalex.org/W4233670287","https://openalex.org/W4245987560","https://openalex.org/W4376532278"],"related_works":["https://openalex.org/W2741776607","https://openalex.org/W150283939","https://openalex.org/W3124070457","https://openalex.org/W125619821","https://openalex.org/W623781850","https://openalex.org/W2138463053","https://openalex.org/W1872937274","https://openalex.org/W1532546381","https://openalex.org/W2066882107","https://openalex.org/W2103901719"],"abstract_inverted_index":{"Computational":[0],"imaging":[1,9],"pipelines":[2],"(CIPs)":[3],"convert":[4],"the":[5,12,39,47,69],"raw":[6],"output":[7],"of":[8,41,52,59,74],"sensors":[10],"into":[11],"high-quality":[13],"images":[14],"that":[15,84],"are":[16],"used":[17],"for":[18],"further":[19],"processing.":[20],"This":[21],"work":[22],"studies":[23],"how":[24],"Block-Matching":[25],"and":[26,71,82],"3D":[27],"filtering":[28],"(BM3D),":[29],"a":[30,53,62],"state-of-the-art":[31],"denoising":[32],"algorithm":[33],"can":[34],"be":[35],"implemented":[36],"to":[37],"meet":[38],"demands":[40],"user-interactive":[42],"(UI)":[43],"applications.":[44],"Denoising":[45],"is":[46,87],"most":[48],"computationally":[49],"demanding":[50],"stage":[51],"CIP":[54],"taking":[55],"more":[56],"than":[57],"95%":[58],"time":[60],"on":[61,78],"highly-optimized":[63],"software":[64,76],"implementation":[65],"[29].":[66],"We":[67],"analyze":[68],"performance":[70,86],"energy":[72],"consumption":[73],"optimized":[75],"implementations":[77],"three":[79],"commodity":[80],"platforms":[81],"find":[83],"their":[85],"inadequate.":[88]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2017-10-20T00:00:00"}