{"id":"https://openalex.org/W2289502178","doi":"https://doi.org/10.1109/globalsip.2015.7418358","title":"Multiple view image denoising using 3D focus image stacks","display_name":"Multiple view image denoising using 3D focus image stacks","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2289502178","doi":"https://doi.org/10.1109/globalsip.2015.7418358","mag":"2289502178"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip.2015.7418358","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2015.7418358","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","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/A5103034714","display_name":"Shiwei Zhou","orcid":"https://orcid.org/0000-0001-9743-9236"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shiwei Zhou","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100721274","display_name":"Yu Hen Hu","orcid":"https://orcid.org/0000-0003-3427-0677"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Hen Hu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046166725","display_name":"Hongrui Jiang","orcid":"https://orcid.org/0000-0001-8468-5454"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongrui Jiang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103034714"],"corresponding_institution_ids":["https://openalex.org/I135310074"],"apc_list":null,"apc_paid":null,"fwci":1.2439,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.84644016,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1052","last_page":"1056"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.996999979019165,"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":0.9943000078201294,"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/noise-reduction","display_name":"Noise reduction","score":0.8113248348236084},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.7574067711830139},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6699070334434509},{"id":"https://openalex.org/keywords/non-local-means","display_name":"Non-local means","score":0.6694397330284119},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6491110920906067},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.6429582834243774},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5972633361816406},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5672086477279663},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5538892149925232},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5368474125862122},{"id":"https://openalex.org/keywords/video-denoising","display_name":"Video denoising","score":0.5027124881744385},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35961228609085083},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.05508536100387573}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.8113248348236084},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.7574067711830139},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6699070334434509},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.6694397330284119},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6491110920906067},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.6429582834243774},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5972633361816406},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5672086477279663},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5538892149925232},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5368474125862122},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.5027124881744385},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35961228609085083},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.05508536100387573},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.0},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globalsip.2015.7418358","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2015.7418358","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2023746279","https://openalex.org/W2029808582","https://openalex.org/W2056370875","https://openalex.org/W2064271319","https://openalex.org/W2083122179","https://openalex.org/W2097073572","https://openalex.org/W2120105886","https://openalex.org/W2900764342","https://openalex.org/W6756541487"],"related_works":["https://openalex.org/W233850645","https://openalex.org/W4213271663","https://openalex.org/W1538114257","https://openalex.org/W2098237619","https://openalex.org/W4287081060","https://openalex.org/W2035842925","https://openalex.org/W2810018092","https://openalex.org/W2791234060","https://openalex.org/W2360732716","https://openalex.org/W2062514975"],"abstract_inverted_index":{"In":[0,51],"this":[1,52],"paper,":[2,53],"we":[3,54,64],"propose":[4],"an":[5,70],"improved":[6,40,87],"fast":[7],"multiple-view":[8],"image":[9,61],"denoising":[10,45,109],"algorithm":[11,74,88],"based":[12],"on":[13],"plane":[14],"sweeping":[15],"(PS)":[16],"and":[17,43,68,102],"non-local":[18],"means":[19],"(NLM).":[20],"Miyata":[21,93],"et":[22,94],"al.":[23,95],"proposed":[24],"to":[25,28,48,75],"use":[26,69],"PS":[27],"convert":[29],"multi-view":[30,81],"images":[31,34],"into":[32],"multi-focus":[33],"for":[35],"noise":[36],"suppression.":[37],"It":[38],"showed":[39],"computational":[41],"efficiency":[42],"comparable":[44],"quality":[46],"compared":[47],"conventional":[49,107],"methods.":[50],"introduce":[55],"the":[56,78],"notion":[57],"of":[58,72,80,99],"3D":[59],"focus":[60],"stacks":[62],"which":[63],"called":[65],"super":[66],"images,":[67],"adaptation":[71],"NLM":[73,108],"further":[76],"improve":[77],"performance":[79],"denoising.":[82],"Experiments":[83],"show":[84],"that":[85,90],"our":[86],"outperforms":[89],"reported":[91],"by":[92],"with":[96],"slight":[97],"increase":[98],"computation":[100],"time,":[101],"is":[103],"much":[104],"faster":[105],"than":[106],"method.":[110]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}