{"id":"https://openalex.org/W2963279247","doi":"https://doi.org/10.1109/tip.2019.2928644","title":"Multipatch Unbiased Distance Non-Local Adaptive Means With Wavelet Shrinkage","display_name":"Multipatch Unbiased Distance Non-Local Adaptive Means With Wavelet Shrinkage","publication_year":2019,"publication_date":"2019-07-19","ids":{"openalex":"https://openalex.org/W2963279247","doi":"https://doi.org/10.1109/tip.2019.2928644","mag":"2963279247","pmid":"https://pubmed.ncbi.nlm.nih.gov/31329119"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2019.2928644","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2928644","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/A5023188161","display_name":"Xiaoyao Li","orcid":"https://orcid.org/0000-0002-4600-1215"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":true,"raw_author_name":"Xiaoyao Li","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macau, China"],"raw_orcid":"https://orcid.org/0000-0002-4600-1215","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009595085","display_name":"Yicong Zhou","orcid":"https://orcid.org/0000-0002-4487-6384"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Yicong Zhou","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macau, China"],"raw_orcid":"https://orcid.org/0000-0002-4487-6384","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058086735","display_name":"Jing Zhang","orcid":"https://orcid.org/0000-0001-6269-6849"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Zhang","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021456390","display_name":"Lianhong Wang","orcid":"https://orcid.org/0000-0001-8016-3042"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianhong Wang","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5023188161"],"corresponding_institution_ids":["https://openalex.org/I204512498"],"apc_list":null,"apc_paid":null,"fwci":0.7144,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.7501418,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"29","issue":null,"first_page":"157","last_page":"169"},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9979000091552734,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9968000054359436,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.669518232345581},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5019996166229248},{"id":"https://openalex.org/keywords/shrinkage","display_name":"Shrinkage","score":0.48411476612091064},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3958466947078705},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35510677099227905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34616002440452576},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3275710344314575},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21387958526611328}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.669518232345581},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5019996166229248},{"id":"https://openalex.org/C180145272","wikidata":"https://www.wikidata.org/wiki/Q7504144","display_name":"Shrinkage","level":2,"score":0.48411476612091064},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3958466947078705},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35510677099227905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34616002440452576},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3275710344314575},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21387958526611328}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2019.2928644","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2928644","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:31329119","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31329119","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}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G618643487","display_name":null,"funder_award_id":"189/2017/A3","funder_id":"https://openalex.org/F4320323893","funder_display_name":"Fundo para o Desenvolvimento das Ci\u00eancias e da Tecnologia"}],"funders":[{"id":"https://openalex.org/F4320323893","display_name":"Fundo para o Desenvolvimento das Ci\u00eancias e da Tecnologia","ror":"https://ror.org/05vna4324"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W838852700","https://openalex.org/W1494195692","https://openalex.org/W1499728584","https://openalex.org/W1507014905","https://openalex.org/W1509559396","https://openalex.org/W1531751296","https://openalex.org/W1981607132","https://openalex.org/W1998419211","https://openalex.org/W2001605855","https://openalex.org/W2015970499","https://openalex.org/W2018322597","https://openalex.org/W2020997493","https://openalex.org/W2026019078","https://openalex.org/W2026849320","https://openalex.org/W2035425462","https://openalex.org/W2056370875","https://openalex.org/W2058005980","https://openalex.org/W2097073572","https://openalex.org/W2099046646","https://openalex.org/W2099244020","https://openalex.org/W2107216283","https://openalex.org/W2109991658","https://openalex.org/W2113824004","https://openalex.org/W2113945798","https://openalex.org/W2133665775","https://openalex.org/W2136396015","https://openalex.org/W2140539123","https://openalex.org/W2153834080","https://openalex.org/W2156242833","https://openalex.org/W2157803030","https://openalex.org/W2159889048","https://openalex.org/W2168444047","https://openalex.org/W2293134380","https://openalex.org/W2593180314","https://openalex.org/W2799435973","https://openalex.org/W2963355980","https://openalex.org/W3098164245","https://openalex.org/W3101421731","https://openalex.org/W6630373946"],"related_works":["https://openalex.org/W2391958761","https://openalex.org/W2765453142","https://openalex.org/W2356780078","https://openalex.org/W2356008845","https://openalex.org/W255134961","https://openalex.org/W2348314720","https://openalex.org/W2243547089","https://openalex.org/W2316482937","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Many":[0],"existing":[1,189],"non-local":[2,68,130],"means":[3,70,132],"(NLM)":[4],"methods":[5],"either":[6],"use":[7,35],"Euclidean":[8,118],"distance":[9,129],"to":[10,44,55,111,142,155],"measure":[11,112],"the":[12,30,37,41,56,67,113,121,127,182,199],"similarity":[13,116],"between":[14],"patches,":[15],"or":[16,34],"compute":[17,143],"weight":[18,46,77,144],"\u03c9":[19,47,78,145],"<sub":[20,48,79,146],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[21,49,80,147],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">ij</sub>":[22,50,81,148],"only":[23,36,137],"once":[24],"and":[25,86,101,186,192],"keep":[26],"it":[27],"unchanged":[28],"during":[29],"subsequent":[31],"denoising":[32,58,163,170,201],"iterations,":[33],"structure":[38],"information":[39],"of":[40],"denoised":[42],"image":[43,73,114],"update":[45],".":[51],"These":[52,105],"may":[53],"lead":[54],"limited":[57],"performance.":[59],"To":[60,160],"address":[61],"these":[62],"issues,":[63],"this":[64],"paper":[65],"proposes":[66],"adaptive":[69,131],"(NLAM)":[71],"for":[72],"denoising.":[74],"NLAM":[75],"treats":[76],"as":[82],"an":[83],"optimization":[84],"variable":[85],"iteratively":[87],"updates":[88],"its":[89],"value.":[90],"We":[91],"then":[92,166],"introduce":[93,151],"three":[94],"unbiased":[95,103,106,123,128],"distances,":[96],"namely,":[97],"pixel-pixel,":[98],"patch-":[99],"patch,":[100],"coupled":[102,122],"distances.":[104],"distances":[107],"are":[108],"more":[109],"robust":[110],"pixel/patch":[115],"than":[117,198],"distance.":[119],"Using":[120],"distance,":[124],"we":[125,150,165],"propose":[126,167],"(UD-NLAM).":[133],"Because":[134],"UD-NLAM":[135,153],"uses":[136],"a":[138,168,195],"single":[139],"patch":[140],"size":[141],",":[149],"multipatch":[152],"(MUD-NLAM)":[154],"adapt":[156],"different":[157],"noise":[158],"levels.":[159],"further":[161],"improve":[162],"performance,":[164],"new":[169],"method":[171],"called":[172],"MUD-NLAM":[173,187],"with":[174],"wavelet":[175],"shrinkage":[176],"(MUD-NLAM-WS).":[177],"Experimental":[178],"results":[179],"show":[180],"that":[181],"proposed":[183],"NLAM,":[184],"UD-NLAM,":[185],"outperform":[188],"NLM":[190],"methods,":[191],"MUDNLAM-WS":[193],"achieves":[194],"better":[196],"performance":[197],"state-of-theart":[200],"methods.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-16T08:24:45.110214","created_date":"2025-10-10T00:00:00"}