{"id":"https://openalex.org/W2964036226","doi":"https://doi.org/10.1109/access.2019.2929541","title":"An Improved Weighted Nuclear Norm Minimization Method for Image Denoising","display_name":"An Improved Weighted Nuclear Norm Minimization Method for Image Denoising","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2964036226","doi":"https://doi.org/10.1109/access.2019.2929541","mag":"2964036226"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2929541","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2929541","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08765549.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08765549.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022494172","display_name":"Hyoseon Yang","orcid":"https://orcid.org/0000-0002-9847-3716"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hyoseon Yang","raw_affiliation_strings":["Michigan State University, East Lansing, MI, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, MI, US","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044618165","display_name":"Yunjin Park","orcid":null},"institutions":[{"id":"https://openalex.org/I138925566","display_name":"Ewha Womans University","ror":"https://ror.org/053fp5c05","country_code":"KR","type":"education","lineage":["https://openalex.org/I138925566"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yunjin Park","raw_affiliation_strings":["Ewha Womans University, Seoul, KR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ewha Womans University, Seoul, KR","institution_ids":["https://openalex.org/I138925566"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111863166","display_name":"Jungho Yoon","orcid":null},"institutions":[{"id":"https://openalex.org/I138925566","display_name":"Ewha Womans University","ror":"https://ror.org/053fp5c05","country_code":"KR","type":"education","lineage":["https://openalex.org/I138925566"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jungho Yoon","raw_affiliation_strings":["Ewha Womans University, Seoul, KR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ewha Womans University, Seoul, KR","institution_ids":["https://openalex.org/I138925566"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083650386","display_name":"Byeongseon Jeong","orcid":"https://orcid.org/0000-0002-7836-7166"},"institutions":[{"id":"https://openalex.org/I138925566","display_name":"Ewha Womans University","ror":"https://ror.org/053fp5c05","country_code":"KR","type":"education","lineage":["https://openalex.org/I138925566"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Byeongseon Jeong","raw_affiliation_strings":["Ewha Womans University, Seoul, KR"],"raw_orcid":"https://orcid.org/0000-0002-7836-7166","affiliations":[{"raw_affiliation_string":"Ewha Womans University, Seoul, KR","institution_ids":["https://openalex.org/I138925566"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.1186,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.82266522,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"97919","last_page":"97927"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":1.0,"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":1.0,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9994999766349792,"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":0.7542767524719238},{"id":"https://openalex.org/keywords/matrix-norm","display_name":"Matrix norm","score":0.6949805021286011},{"id":"https://openalex.org/keywords/non-local-means","display_name":"Non-local means","score":0.6180649995803833},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5860287547111511},{"id":"https://openalex.org/keywords/low-rank-approximation","display_name":"Low-rank approximation","score":0.545033872127533},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.5270381569862366},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5111659169197083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5016670227050781},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.4909715950489044},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4452192783355713},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.438200980424881},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4357699751853943},{"id":"https://openalex.org/keywords/bilateral-filter","display_name":"Bilateral filter","score":0.4266166687011719},{"id":"https://openalex.org/keywords/video-denoising","display_name":"Video denoising","score":0.41146302223205566},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.363225519657135},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.340320348739624},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.30770450830459595},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.10262274742126465}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7542767524719238},{"id":"https://openalex.org/C92207270","wikidata":"https://www.wikidata.org/wiki/Q939253","display_name":"Matrix norm","level":3,"score":0.6949805021286011},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.6180649995803833},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5860287547111511},{"id":"https://openalex.org/C90199385","wikidata":"https://www.wikidata.org/wiki/Q6692777","display_name":"Low-rank approximation","level":3,"score":0.545033872127533},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.5270381569862366},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5111659169197083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5016670227050781},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.4909715950489044},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4452192783355713},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.438200980424881},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4357699751853943},{"id":"https://openalex.org/C156140930","wikidata":"https://www.wikidata.org/wiki/Q860417","display_name":"Bilateral filter","level":3,"score":0.4266166687011719},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.41146302223205566},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.363225519657135},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.340320348739624},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.30770450830459595},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.10262274742126465},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C25023664","wikidata":"https://www.wikidata.org/wiki/Q1575637","display_name":"Hankel matrix","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2929541","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2929541","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08765549.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f82e9c7b907845a5a79a6bd52ead2755","is_oa":true,"landing_page_url":"https://doaj.org/article/f82e9c7b907845a5a79a6bd52ead2755","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 97919-97927 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2929541","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2929541","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08765549.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1462444585","display_name":null,"funder_award_id":"NRF-2017R1C1B2008566","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G2111953840","display_name":null,"funder_award_id":"NRF-2019R1F1A1060804","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G3793286438","display_name":null,"funder_award_id":"2019R1A6A1A11051177","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"},{"id":"https://openalex.org/G3994818172","display_name":null,"funder_award_id":"2019R1A6A1A11051177","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G5673507650","display_name":null,"funder_award_id":"NRF-2015R1A5A1009350","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G7155607126","display_name":null,"funder_award_id":"NRF-2019R1A6A1A11051177","funder_id":"https://openalex.org/F4320311687","funder_display_name":"Ministry of Education"},{"id":"https://openalex.org/G753304149","display_name":null,"funder_award_id":"NRF-2015R1A5A1009350","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320311687","display_name":"Ministry of Education","ror":"https://ror.org/03m01yf64"},{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2964036226.pdf","grobid_xml":"https://content.openalex.org/works/W2964036226.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W2006262236","https://openalex.org/W2044850732","https://openalex.org/W2048695508","https://openalex.org/W2056370875","https://openalex.org/W2060945009","https://openalex.org/W2075547019","https://openalex.org/W2099244020","https://openalex.org/W2103559027","https://openalex.org/W2103972604","https://openalex.org/W2133665775","https://openalex.org/W2136396015","https://openalex.org/W2187133255","https://openalex.org/W2187214659","https://openalex.org/W2395103039","https://openalex.org/W2399066089","https://openalex.org/W2505029951","https://openalex.org/W2571326486","https://openalex.org/W2775829438","https://openalex.org/W2789355751","https://openalex.org/W2798427787","https://openalex.org/W2907597872","https://openalex.org/W2907824752","https://openalex.org/W2963315679","https://openalex.org/W3100203369"],"related_works":["https://openalex.org/W1699622673","https://openalex.org/W233850645","https://openalex.org/W2082304850","https://openalex.org/W1998728244","https://openalex.org/W2511423457","https://openalex.org/W2102253512","https://openalex.org/W2536791468","https://openalex.org/W2378657331","https://openalex.org/W4308564914","https://openalex.org/W2359866629"],"abstract_inverted_index":{"Patch-based":[0],"low":[1,135],"rank":[2,136],"matrix":[3],"approximation":[4],"has":[5,24],"shown":[6],"great":[7],"potential":[8],"in":[9,15,39,75,78,127,159],"image":[10],"denoising.":[11],"Among":[12],"state-of-the-art":[13,156],"methods":[14],"this":[16,83,85,103],"topic,":[17],"the":[18,42,58,72,79,96,99,132,148],"weighted":[19],"nuclear":[20],"norm":[21],"minimization":[22],"(WNNM)":[23],"been":[25],"attracting":[26],"significant":[27],"attention":[28],"due":[29],"to":[30,52,88,130],"its":[31],"competitive":[32],"denoising":[33,91,150,157],"performance.":[34],"For":[35,102],"each":[36],"local":[37],"patch":[38,129],"an":[40],"image,":[41,73],"WNNM":[43,59,100],"method":[44],"groups":[45],"nonlocal":[46,109],"similar":[47],"patches":[48,63],"by":[49,112],"block":[50],"matching":[51],"formulate":[53],"a":[54,90,107,121,128],"low-rank":[55],"matrix.":[56],"However,":[57],"often":[60],"chooses":[61],"irrelevant":[62],"such":[64],"that":[65,123,147],"it":[66],"may":[67],"lose":[68],"fine":[69],"details":[70],"of":[71,98,134,161],"resulting":[74],"undesirable":[76],"artifacts":[77],"final":[80],"reconstruction.":[81],"In":[82],"regards,":[84],"paper":[86],"aims":[87],"provide":[89],"algorithm":[92,151],"which":[93],"further":[94],"improves":[95],"performance":[97,133],"method.":[101],"purpose,":[104],"we":[105],"develop":[106],"new":[108],"similarity":[110],"measure":[111],"exploiting":[113],"both":[114],"pixel":[115],"intensities":[116],"and":[117,119,163],"gradients":[118],"present":[120],"filter":[122],"enhances":[124],"edge":[125],"information":[126],"improve":[131],"approximation.":[137],"The":[138],"experimental":[139],"results":[140],"on":[141],"widely":[142],"used":[143],"test":[144],"images":[145],"demonstrate":[146],"proposed":[149],"performs":[152],"better":[153],"than":[154],"other":[155],"algorithms":[158],"terms":[160],"PSNR":[162],"SSIM":[164],"indices":[165],"as":[166,168],"well":[167],"visual":[169],"quality.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
