{"id":"https://openalex.org/W2120105886","doi":"https://doi.org/10.1109/cvpr.2009.5206836","title":"Multiple view image denoising","display_name":"Multiple view image denoising","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2120105886","doi":"https://doi.org/10.1109/cvpr.2009.5206836","mag":"2120105886"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2009.5206836","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2009.5206836","pdf_url":null,"source":{"id":"https://openalex.org/S4363607795","display_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","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/A5100425669","display_name":"Li Zhang","orcid":"https://orcid.org/0000-0002-9321-3421"},"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":"Li Zhang","raw_affiliation_strings":["University of Wisconsin, USA","University of Wisconsin\u2028Madison, WI, USA"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin, USA","institution_ids":[]},{"raw_affiliation_string":"University of Wisconsin\u2028Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023525857","display_name":"Sundeep Vaddadi","orcid":null},"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":"Sundeep Vaddadi","raw_affiliation_strings":["University of Wisconsin, USA","University of Wisconsin\u2028Madison, WI, USA"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin, USA","institution_ids":[]},{"raw_affiliation_string":"University of Wisconsin\u2028Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109787260","display_name":"Hailin Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hailin Jin","raw_affiliation_strings":["Adobe Systems, Inc., USA"],"affiliations":[{"raw_affiliation_string":"Adobe Systems, Inc., USA","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051975921","display_name":"Shree K. Nayar","orcid":"https://orcid.org/0000-0002-6452-6998"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shree K. Nayar","raw_affiliation_strings":["Columbia University, USA","Columbia University, New York, NY/USA"],"affiliations":[{"raw_affiliation_string":"Columbia University, USA","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Columbia University, New York, NY/USA","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100425669"],"corresponding_institution_ids":["https://openalex.org/I135310074"],"apc_list":null,"apc_paid":null,"fwci":1.493,"has_fulltext":false,"cited_by_count":74,"citation_normalized_percentile":{"value":0.85278276,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1542","last_page":"1549"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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":0.9994000196456909,"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":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6944530010223389},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6550783514976501},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.640009880065918},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6281464099884033},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5858475565910339},{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.5847709774971008},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5371039509773254},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5059055685997009},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4965968728065491},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49518290162086487},{"id":"https://openalex.org/keywords/structure-tensor","display_name":"Structure tensor","score":0.4894901514053345},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.4888164699077606},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.47143808007240295},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4134218990802765},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28070974349975586}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6944530010223389},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6550783514976501},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.640009880065918},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6281464099884033},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5858475565910339},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.5847709774971008},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5371039509773254},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5059055685997009},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4965968728065491},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49518290162086487},{"id":"https://openalex.org/C113315163","wikidata":"https://www.wikidata.org/wiki/Q7625159","display_name":"Structure tensor","level":3,"score":0.4894901514053345},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.4888164699077606},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.47143808007240295},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4134218990802765},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28070974349975586},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2009.5206836","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2009.5206836","pdf_url":null,"source":{"id":"https://openalex.org/S4363607795","display_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.329.6507","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.329.6507","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://pages.cs.wisc.edu/~lizhang/projects/mvdenoising/cvpr2009/0142.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1781337833","https://openalex.org/W2018282388","https://openalex.org/W2056370875","https://openalex.org/W2102913618","https://openalex.org/W2104974755","https://openalex.org/W2127847374","https://openalex.org/W2130371553","https://openalex.org/W2131686571","https://openalex.org/W2135065661","https://openalex.org/W2136050625","https://openalex.org/W2136396015","https://openalex.org/W2136733503","https://openalex.org/W2137577808","https://openalex.org/W2153763188","https://openalex.org/W2162162078","https://openalex.org/W2163446914","https://openalex.org/W2164647001","https://openalex.org/W2164735965","https://openalex.org/W2168545424","https://openalex.org/W2561377267","https://openalex.org/W2912536233","https://openalex.org/W4255671489","https://openalex.org/W6638137768","https://openalex.org/W6664401941","https://openalex.org/W6680683657","https://openalex.org/W6684242553"],"related_works":["https://openalex.org/W89301254","https://openalex.org/W2623954137","https://openalex.org/W2535084101","https://openalex.org/W2087258800","https://openalex.org/W2015754241","https://openalex.org/W2810018092","https://openalex.org/W2387428419","https://openalex.org/W4401571043","https://openalex.org/W2098237619","https://openalex.org/W1974034585"],"abstract_inverted_index":{"We":[0,29,98],"present":[1],"a":[2,61,80],"novel":[3],"multi-view":[4],"denoising":[5,118],"algorithm.":[6],"Our":[7,75,111],"algorithm":[8,101,112],"takes":[9],"noisy":[10],"images":[11,25,107],"taken":[12],"from":[13],"different":[14,109],"viewpoints":[15],"as":[16,87],"input":[17,24],"and":[18,36,42,54,90,105],"groups":[19],"similar":[20],"patches":[21],"in":[22,33,60,72],"the":[23,38,67,73],"using":[26],"depth":[27,85,96],"estimation.":[28,97],"model":[30],"intensity-dependent":[31],"noise":[32],"low-light":[34],"conditions":[35],"use":[37],"principal":[39],"component":[40],"analysis":[41,44,56],"tensor":[43,55],"to":[45,66],"remove":[46],"such":[47],"noise.":[48],"The":[49],"dimensionalities":[50],"for":[51],"both":[52,103],"PCA":[53],"are":[57],"automatically":[58],"computed":[59],"way":[62],"that":[63,83],"is":[64,77],"adaptive":[65],"complexity":[68],"of":[69],"image":[70],"structures":[71],"patches.":[74],"method":[76],"based":[78],"on":[79,102],"probabilistic":[81],"formulation":[82],"marginalizes":[84],"maps":[86],"hidden":[88],"variables":[89],"therefore":[91],"does":[92],"not":[93],"require":[94],"perfect":[95],"validate":[99],"our":[100],"synthetic":[104],"real":[106],"with":[108],"content.":[110],"compares":[113],"favorably":[114],"against":[115],"several":[116],"state-of-the-art":[117],"algorithms.":[119]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":12},{"year":2014,"cited_by_count":12},{"year":2013,"cited_by_count":10},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}