{"id":"https://openalex.org/W2044882761","doi":"https://doi.org/10.1117/12.2045599","title":"Image denoising with multiple layer block matching and 3D filtering","display_name":"Image denoising with multiple layer block matching and 3D filtering","publication_year":2014,"publication_date":"2014-03-03","ids":{"openalex":"https://openalex.org/W2044882761","doi":"https://doi.org/10.1117/12.2045599","mag":"2044882761"},"language":"en","primary_location":{"id":"doi:10.1117/12.2045599","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2045599","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5032649501","display_name":"Zhigang Fan","orcid":"https://orcid.org/0000-0002-4628-1915"},"institutions":[{"id":"https://openalex.org/I4210132870","display_name":"Xerox (United States)","ror":"https://ror.org/03jwzwq24","country_code":"US","type":"company","lineage":["https://openalex.org/I4210132870"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhigang Fan","raw_affiliation_strings":["Xerox Corp. (United States)","Xerox Corporation (United States)"],"affiliations":[{"raw_affiliation_string":"Xerox Corp. (United States)","institution_ids":["https://openalex.org/I4210132870"]},{"raw_affiliation_string":"Xerox Corporation (United States)","institution_ids":["https://openalex.org/I4210132870"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5032649501"],"corresponding_institution_ids":["https://openalex.org/I4210132870"],"apc_list":null,"apc_paid":null,"fwci":0.2439,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5864284,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9027","issue":null,"first_page":"90270H","last_page":"90270H"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9909999966621399,"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":0.9897000193595886,"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/noise-reduction","display_name":"Noise reduction","score":0.7184479832649231},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.6701151132583618},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6241637468338013},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6199074983596802},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5743880271911621},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5147476196289062},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.4981555938720703},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4741629660129547},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.473347932100296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38946059346199036},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3216000199317932},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22229266166687012},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.1328900158405304},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06096309423446655},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.05684736371040344}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7184479832649231},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.6701151132583618},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6241637468338013},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6199074983596802},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5743880271911621},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5147476196289062},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4981555938720703},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4741629660129547},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.473347932100296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38946059346199036},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3216000199317932},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22229266166687012},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.1328900158405304},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06096309423446655},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.05684736371040344},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2045599","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2045599","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1485262465","https://openalex.org/W1973207753","https://openalex.org/W2026019078","https://openalex.org/W2056370875","https://openalex.org/W2094007056","https://openalex.org/W2104775297","https://openalex.org/W2133059825","https://openalex.org/W4243659438","https://openalex.org/W4252912741","https://openalex.org/W6629134395","https://openalex.org/W6673924687"],"related_works":["https://openalex.org/W2069592018","https://openalex.org/W2075740387","https://openalex.org/W2358990940","https://openalex.org/W2093931120","https://openalex.org/W2329812990","https://openalex.org/W2349116365","https://openalex.org/W3021708704","https://openalex.org/W2004231473","https://openalex.org/W2060895226","https://openalex.org/W2099811626"],"abstract_inverted_index":{"Block":[0],"Matching":[1],"and":[2,30,58,92,107,176,187,216],"3-D":[3],"Filtering":[4],"(BM3D)":[5],"algorithm":[6,101,221],"is":[7,79,95,117,142,161,205],"currently":[8],"considered":[9],"as":[10,34,41,56,63,148],"one":[11,121],"of":[12,196,202,210],"the":[13,50,120,125,159,164,168,172,181,194,197,203,227],"most":[14],"successful":[15],"denoising":[16,74],"algorithms.":[17],"Despite":[18],"its":[19],"excellent":[20,223],"results,":[21,224],"BM3D":[22,72],"still":[23],"has":[24],"room":[25],"for":[26,226],"improvements.":[27],"Image":[28],"details":[29,88],"sharp":[31],"edges,":[32],"such":[33,55],"text":[35],"in":[36,122,144,149,171],"document":[37],"images":[38,228],"are":[39,132,174,180,190],"challenging,":[40],"they":[42],"usually":[43],"do":[44],"not":[45],"produce":[46],"sparse":[47],"representations":[48],"under":[49],"linear":[51],"transformations.":[52],"Various":[53],"artifacts":[54],"ringing":[57],"blurring":[59],"can":[60],"be":[61,135],"introduced":[62],"a":[64,69,103,108,145,152],"result.":[65],"This":[66],"paper":[67],"proposes":[68],"Multiple":[70],"Layer":[71],"(MLBM3D)":[73],"algorithm.":[75],"The":[76,100,112,184,199,219],"basic":[77],"idea":[78],"to":[80,119,134,192],"decompose":[81],"image":[82,130,156,204],"patches":[83],"that":[84],"contain":[85],"high":[86,230],"contrast":[87,231],"into":[89],"multiple":[90],"layers,":[91],"each":[93,155],"layer":[94],"then":[96],"collaboratively":[97,177],"filtered":[98,143,185],"separately.":[99],"contains":[102],"Basic":[104],"Estimation":[105,110],"step":[106,116],"Final":[109],"step.":[111],"first":[113],"(Basic":[114],"Estimation)":[115,128],"identical":[118],"BM3D.":[123,150],"In":[124],"second":[126],"(Final":[127],"step,":[129],"groups":[131],"determined":[133],"single-layer":[136,140,215],"or":[137],"multilayer.":[138],"A":[139],"group":[141,160,173],"same":[146],"manner":[147],"For":[151],"multi-layer":[153,217],"group,":[154],"patch":[157],"within":[158],"decomposed":[162],"with":[163],"three-layer":[165],"model.":[166],"All":[167],"top":[169,186],"layers":[170,189],"stacked":[175],"filtered.":[178],"So":[179],"bottom":[182,188],"layers.":[183],"re-assembled":[191],"form":[193],"estimation":[195,201],"blocks.":[198],"final":[200],"obtained":[206],"by":[207],"aggregating":[208],"estimations":[209],"all":[211],"blocks,":[212],"including":[213],"both":[214],"ones.":[218],"proposed":[220],"shows":[222],"particularly":[225],"containing":[229],"edges.":[232]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}