{"id":"https://openalex.org/W3049181545","doi":"https://doi.org/10.1109/access.2020.3016777","title":"Weighted t-Schatten-p Norm Minimization for Real Color Image Denoising","display_name":"Weighted t-Schatten-p Norm Minimization for Real Color Image Denoising","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3049181545","doi":"https://doi.org/10.1109/access.2020.3016777","mag":"3049181545"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3016777","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3016777","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09167236.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/ielx7/6287639/8948470/09167236.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045218255","display_name":"Min Liu","orcid":"https://orcid.org/0000-0003-0517-0052"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Min Liu","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089320702","display_name":"Xinggan Zhang","orcid":"https://orcid.org/0000-0002-4181-580X"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinggan Zhang","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041083348","display_name":"Lan Tang","orcid":"https://orcid.org/0000-0002-1646-8455"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lan Tang","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045218255"],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.1962,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.49785572,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"150350","last_page":"150359"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9990000128746033,"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":0.9962000250816345,"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/matrix-norm","display_name":"Matrix norm","score":0.7516742944717407},{"id":"https://openalex.org/keywords/iterated-function","display_name":"Iterated function","score":0.6390075087547302},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6198920011520386},{"id":"https://openalex.org/keywords/singular-value","display_name":"Singular value","score":0.615607500076294},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.6032910943031311},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.5459245443344116},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.545853853225708},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.48189955949783325},{"id":"https://openalex.org/keywords/low-rank-approximation","display_name":"Low-rank approximation","score":0.48110002279281616},{"id":"https://openalex.org/keywords/matrix-completion","display_name":"Matrix completion","score":0.4682537019252777},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.42398643493652344},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41114136576652527},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4003385603427887},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3262632489204407},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.31569457054138184},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.22835421562194824},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.1582801640033722},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.1393326222896576}],"concepts":[{"id":"https://openalex.org/C92207270","wikidata":"https://www.wikidata.org/wiki/Q939253","display_name":"Matrix norm","level":3,"score":0.7516742944717407},{"id":"https://openalex.org/C140479938","wikidata":"https://www.wikidata.org/wiki/Q5254619","display_name":"Iterated function","level":2,"score":0.6390075087547302},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6198920011520386},{"id":"https://openalex.org/C109282560","wikidata":"https://www.wikidata.org/wiki/Q4166054","display_name":"Singular value","level":3,"score":0.615607500076294},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.6032910943031311},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.5459245443344116},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.545853853225708},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.48189955949783325},{"id":"https://openalex.org/C90199385","wikidata":"https://www.wikidata.org/wiki/Q6692777","display_name":"Low-rank approximation","level":3,"score":0.48110002279281616},{"id":"https://openalex.org/C2778459887","wikidata":"https://www.wikidata.org/wiki/Q6787865","display_name":"Matrix completion","level":3,"score":0.4682537019252777},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.42398643493652344},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41114136576652527},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4003385603427887},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3262632489204407},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.31569457054138184},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.22835421562194824},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1582801640033722},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.1393326222896576},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3016777","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3016777","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09167236.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:b9ae52f7f11f458491983790a105d965","is_oa":true,"landing_page_url":"https://doaj.org/article/b9ae52f7f11f458491983790a105d965","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 150350-150359 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3016777","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3016777","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09167236.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/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2502139557","display_name":null,"funder_award_id":"61976113","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3630466707","display_name":null,"funder_award_id":"U1936201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3049181545.pdf","grobid_xml":"https://content.openalex.org/works/W3049181545.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W1898533559","https://openalex.org/W1915360731","https://openalex.org/W1963826206","https://openalex.org/W1978749115","https://openalex.org/W1992426838","https://openalex.org/W2000215628","https://openalex.org/W2011181254","https://openalex.org/W2014311222","https://openalex.org/W2030927653","https://openalex.org/W2037642501","https://openalex.org/W2043571470","https://openalex.org/W2045737896","https://openalex.org/W2047710600","https://openalex.org/W2048695508","https://openalex.org/W2056370875","https://openalex.org/W2079705627","https://openalex.org/W2091449379","https://openalex.org/W2097073572","https://openalex.org/W2103559027","https://openalex.org/W2104050041","https://openalex.org/W2111854674","https://openalex.org/W2130184048","https://openalex.org/W2142224912","https://openalex.org/W2153663612","https://openalex.org/W2154011501","https://openalex.org/W2172275395","https://openalex.org/W2187214659","https://openalex.org/W2207282238","https://openalex.org/W2219841864","https://openalex.org/W2280622051","https://openalex.org/W2295281957","https://openalex.org/W2469031810","https://openalex.org/W2508457857","https://openalex.org/W2613184245","https://openalex.org/W2762772695","https://openalex.org/W2764207251","https://openalex.org/W2767380400","https://openalex.org/W2820727372","https://openalex.org/W2899928528","https://openalex.org/W2901836533","https://openalex.org/W2907363428","https://openalex.org/W2913349789","https://openalex.org/W2931569196","https://openalex.org/W2963315679","https://openalex.org/W2963725279","https://openalex.org/W2963885538","https://openalex.org/W2965656510","https://openalex.org/W2996647759","https://openalex.org/W3099794995","https://openalex.org/W3100203369"],"related_works":["https://openalex.org/W2010100052","https://openalex.org/W2788826952","https://openalex.org/W2084983808","https://openalex.org/W2964006653","https://openalex.org/W4318564253","https://openalex.org/W4302315572","https://openalex.org/W1969698720","https://openalex.org/W4094001","https://openalex.org/W1991825408","https://openalex.org/W2184500224"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"to":[3,31,38,92,106,128],"fully":[4],"exploit":[5],"the":[6,33,57,68,76,101,108,122],"spatial":[7],"and":[8,117,133],"spectral":[9],"correlation":[10],"information,":[11],"we":[12],"present":[13],"a":[14,64,81],"new":[15],"real":[16],"color":[17],"image":[18],"denoising":[19],"scheme":[20],"using":[21,42],"tensor":[22,58,70,77,96],"Schatten-p":[23,40],"norm":[24,50,60,85],"(t-Schatten-p":[25],"norm)":[26],"minimization":[27,51,61,109],"based":[28],"on":[29,114],"t-SVD":[30],"recover":[32],"underlying":[34],"low-rank":[35],"tensor.":[36],"Similar":[37],"matrix":[39],"norm,":[41],"non-convex":[43],"t-Schatten-p":[44,84],"(0":[45],"<;":[46,48],"p":[47],"1)":[49],"could":[52],"obtain":[53],"better":[54],"results":[55],"than":[56],"nuclear":[59],"which":[62],"is":[63,87],"convex":[65],"relaxation":[66],"of":[67,95,124],"nonconvex":[69],"tubal":[71,78],"rank.":[72],"To":[73],"avoid":[74],"over-shrink":[75],"rank":[79],"components,":[80],"flexible":[82],"weighted":[83],"model":[86],"proposed":[88,126],"with":[89],"weights":[90],"assigned":[91],"different":[93],"elements":[94],"singular":[97],"tubes.":[98],"We":[99],"adopt":[100],"generalized":[102],"iterated":[103],"shrinkage":[104],"algorithm":[105],"solve":[107],"problem":[110],"efficiently.":[111],"Extensive":[112],"experiments":[113],"one":[115],"synthetic":[116],"two":[118],"realistic":[119],"datasets":[120],"demonstrate":[121],"effectiveness":[123],"our":[125],"method":[127],"remove":[129],"noise":[130],"both":[131],"quantitatively":[132],"qualitatively.":[134]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
