{"id":"https://openalex.org/W3049688872","doi":"https://doi.org/10.1109/tip.2020.3014721","title":"Collaborative Filtering of Correlated Noise: Exact Transform-Domain Variance for Improved Shrinkage and Patch Matching","display_name":"Collaborative Filtering of Correlated Noise: Exact Transform-Domain Variance for Improved Shrinkage and Patch Matching","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3049688872","doi":"https://doi.org/10.1109/tip.2020.3014721","mag":"3049688872","pmid":"https://pubmed.ncbi.nlm.nih.gov/32784137"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2020.3014721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.3014721","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5084016389","display_name":"Ymir M\u00e4kinen","orcid":null},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Ymir Makinen","raw_affiliation_strings":["Unit of Computing Sciences, Tampere University, Tampere, Finland"],"affiliations":[{"raw_affiliation_string":"Unit of Computing Sciences, Tampere University, Tampere, Finland","institution_ids":["https://openalex.org/I166825849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008532925","display_name":"Lucio Azzari","orcid":"https://orcid.org/0000-0002-9235-2286"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Lucio Azzari","raw_affiliation_strings":["Unit of Computing Sciences, Tampere University, Tampere, Finland"],"affiliations":[{"raw_affiliation_string":"Unit of Computing Sciences, Tampere University, Tampere, Finland","institution_ids":["https://openalex.org/I166825849"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063956725","display_name":"Alessandro Foi","orcid":"https://orcid.org/0000-0001-8228-3187"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Alessandro Foi","raw_affiliation_strings":["Unit of Computing Sciences, Tampere University, Tampere, Finland"],"affiliations":[{"raw_affiliation_string":"Unit of Computing Sciences, Tampere University, Tampere, Finland","institution_ids":["https://openalex.org/I166825849"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5084016389"],"corresponding_institution_ids":["https://openalex.org/I166825849"],"apc_list":null,"apc_paid":null,"fwci":9.1409,"has_fulltext":false,"cited_by_count":188,"citation_normalized_percentile":{"value":0.98494191,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"29","issue":null,"first_page":"8339","last_page":"8354"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6569796204566956},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5617564916610718},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5435277819633484},{"id":"https://openalex.org/keywords/value-noise","display_name":"Value noise","score":0.5113813281059265},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5011327266693115},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.48629602789878845},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.486068993806839},{"id":"https://openalex.org/keywords/gradient-noise","display_name":"Gradient noise","score":0.44671133160591125},{"id":"https://openalex.org/keywords/shrinkage","display_name":"Shrinkage","score":0.43448448181152344},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42785751819610596},{"id":"https://openalex.org/keywords/noise-power","display_name":"Noise power","score":0.42543551325798035},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4155203700065613},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.351630836725235},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2973547577857971},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.26334309577941895},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2355240285396576},{"id":"https://openalex.org/keywords/noise-floor","display_name":"Noise floor","score":0.21419757604599},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1628488302230835}],"concepts":[{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6569796204566956},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5617564916610718},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5435277819633484},{"id":"https://openalex.org/C182163834","wikidata":"https://www.wikidata.org/wiki/Q2926529","display_name":"Value noise","level":5,"score":0.5113813281059265},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5011327266693115},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.48629602789878845},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.486068993806839},{"id":"https://openalex.org/C200378446","wikidata":"https://www.wikidata.org/wiki/Q4147391","display_name":"Gradient noise","level":5,"score":0.44671133160591125},{"id":"https://openalex.org/C180145272","wikidata":"https://www.wikidata.org/wiki/Q7504144","display_name":"Shrinkage","level":2,"score":0.43448448181152344},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42785751819610596},{"id":"https://openalex.org/C203234222","wikidata":"https://www.wikidata.org/wiki/Q2133519","display_name":"Noise power","level":3,"score":0.42543551325798035},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4155203700065613},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.351630836725235},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2973547577857971},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.26334309577941895},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2355240285396576},{"id":"https://openalex.org/C187612029","wikidata":"https://www.wikidata.org/wiki/Q17083130","display_name":"Noise floor","level":4,"score":0.21419757604599},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1628488302230835},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2020.3014721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.3014721","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:32784137","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32784137","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:trepo.tuni.fi:10024/217337","is_oa":false,"landing_page_url":"https://trepo.tuni.fi/handle/10024/217337","pdf_url":null,"source":{"id":"https://openalex.org/S7407055260","display_name":"Trepo - Institutional Repository of Tampere University","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6241776697","display_name":null,"funder_award_id":"310779","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"}],"funders":[{"id":"https://openalex.org/F4320321108","display_name":"Academy of Finland","ror":"https://ror.org/05k73zm37"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1965221572","https://openalex.org/W1965570176","https://openalex.org/W1970264776","https://openalex.org/W1971178975","https://openalex.org/W1974438823","https://openalex.org/W1975176219","https://openalex.org/W1993205988","https://openalex.org/W2005298535","https://openalex.org/W2009190824","https://openalex.org/W2021636606","https://openalex.org/W2024402662","https://openalex.org/W2046218852","https://openalex.org/W2046658762","https://openalex.org/W2056370875","https://openalex.org/W2056815575","https://openalex.org/W2062989416","https://openalex.org/W2064793342","https://openalex.org/W2067421086","https://openalex.org/W2072246452","https://openalex.org/W2072273842","https://openalex.org/W2074249704","https://openalex.org/W2077646548","https://openalex.org/W2077657066","https://openalex.org/W2079724595","https://openalex.org/W2087353466","https://openalex.org/W2087660735","https://openalex.org/W2092666703","https://openalex.org/W2100476607","https://openalex.org/W2105119246","https://openalex.org/W2113945798","https://openalex.org/W2135065661","https://openalex.org/W2136396015","https://openalex.org/W2136604679","https://openalex.org/W2158940042","https://openalex.org/W2317084172","https://openalex.org/W2408469841","https://openalex.org/W2489519930","https://openalex.org/W2538100328","https://openalex.org/W2683937515","https://openalex.org/W2739612467","https://openalex.org/W2764207251","https://openalex.org/W2775083145","https://openalex.org/W2888957705","https://openalex.org/W2891076821","https://openalex.org/W2903697806","https://openalex.org/W2949725501","https://openalex.org/W2968466051","https://openalex.org/W2971100256","https://openalex.org/W2971129748","https://openalex.org/W3004947139","https://openalex.org/W3040119159","https://openalex.org/W3099887894","https://openalex.org/W3104725225","https://openalex.org/W4214806317","https://openalex.org/W4251742697","https://openalex.org/W4255521522","https://openalex.org/W6643061964","https://openalex.org/W6699464847","https://openalex.org/W6713721908","https://openalex.org/W6728628327","https://openalex.org/W6759001153"],"related_works":["https://openalex.org/W3125397569","https://openalex.org/W4226451553","https://openalex.org/W2588855097","https://openalex.org/W2144739192","https://openalex.org/W2115799816","https://openalex.org/W1567275582","https://openalex.org/W2167775727","https://openalex.org/W2804967840","https://openalex.org/W2163758926","https://openalex.org/W2169147844"],"abstract_inverted_index":{"Collaborative":[0],"filters":[1,19,141],"perform":[2],"denoising":[3,140],"through":[4],"transform-domain":[5],"shrinkage":[6],"of":[7,10,20,29,55,66,92,100,121],"a":[8,48,60],"group":[9],"similar":[11],"patches":[12],"extracted":[13],"from":[14,36],"an":[15],"image.":[16],"Existing":[17],"collaborative":[18],"stationary":[21],"correlated":[22,87],"noise":[23,32,68,76,82,89,103],"have":[24],"all":[25],"used":[26,137],"simple":[27],"approximations":[28,57,120,136],"the":[30,53,63,67,74,93,98,101,122,130],"transform":[31],"power":[33,69,104],"spectrum":[34,105,123],"adopted":[35],"methods":[37],"which":[38],"do":[39],"not":[40],"employ":[41],"patch":[42,85],"grouping":[43],"and":[44,58,113,145],"instead":[45],"operate":[46],"on":[47],"single":[49],"patch.":[50],"We":[51,96,116],"note":[52],"inaccuracies":[54],"these":[56],"introduce":[59,118],"method":[61,132],"for":[62,124],"exact":[64,79,102],"computation":[65],"spectrum.":[70],"Unlike":[71],"earlier":[72,134],"methods,":[73],"calculated":[75],"variances":[77],"are":[78],"even":[80],"when":[81],"in":[83,90,108,114,151],"one":[84],"is":[86],"with":[88],"any":[91],"other":[94],"patches.":[95],"discuss":[97],"adoption":[99],"within":[106],"shrinkage,":[107],"similarity":[109],"testing":[110],"(patch":[111],"matching),":[112],"aggregation.":[115],"also":[117],"effective":[119],"faster":[125],"computation.":[126],"Extensive":[127],"experiments":[128],"support":[129],"proposed":[131],"over":[133],"crude":[135],"by":[138],"image":[139],"such":[142],"as":[143],"Block-Matching":[144],"3D-filtering":[146],"(BM3D),":[147],"demonstrating":[148],"dramatic":[149],"improvement":[150],"many":[152],"challenging":[153],"conditions.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":49},{"year":2024,"cited_by_count":41},{"year":2023,"cited_by_count":36},{"year":2022,"cited_by_count":29},{"year":2021,"cited_by_count":25},{"year":2020,"cited_by_count":3}],"updated_date":"2026-03-14T08:43:22.919905","created_date":"2025-10-10T00:00:00"}