{"id":"https://openalex.org/W2298855392","doi":"https://doi.org/10.1109/tcyb.2016.2521428","title":"Weighted Joint Sparse Representation for Removing Mixed Noise in Image","display_name":"Weighted Joint Sparse Representation for Removing Mixed Noise in Image","publication_year":2016,"publication_date":"2016-03-03","ids":{"openalex":"https://openalex.org/W2298855392","doi":"https://doi.org/10.1109/tcyb.2016.2521428","mag":"2298855392","pmid":"https://pubmed.ncbi.nlm.nih.gov/26960236"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2016.2521428","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2016.2521428","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","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/A5101436881","display_name":"Licheng Liu","orcid":"https://orcid.org/0000-0003-4891-9211"},"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":"Licheng Liu","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macau, China"],"raw_orcid":null,"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/A5100336427","display_name":"Long Chen","orcid":"https://orcid.org/0000-0003-0184-5446"},"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":"Long Chen","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macau, China"],"raw_orcid":null,"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/A5100643265","display_name":"C. L. Philip Chen","orcid":"https://orcid.org/0000-0001-5451-7230"},"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":"C. L. Philip Chen","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macau, China"],"raw_orcid":null,"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/A5085140523","display_name":"Yuan Yan Tang","orcid":"https://orcid.org/0000-0002-6887-130X"},"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":"Yuan Yan Tang","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macau, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005772506","display_name":"Chi\u2010Man Pun","orcid":"https://orcid.org/0000-0003-1788-3746"},"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":"Chi Man pun","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macau, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204512498"],"apc_list":null,"apc_paid":null,"fwci":11.7671,"has_fulltext":false,"cited_by_count":146,"citation_normalized_percentile":{"value":0.99016355,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"47","issue":"3","first_page":"600","last_page":"611"},"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":0.9997000098228455,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.816445529460907},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6910216808319092},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6620728969573975},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6487963199615479},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.6067562699317932},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.57829749584198},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5723990201950073},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.547756552696228},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5074240565299988},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4760536849498749},{"id":"https://openalex.org/keywords/matching-pursuit","display_name":"Matching pursuit","score":0.47194379568099976},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.4521425664424896},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4273122549057007},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4258440136909485},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42026498913764954},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26928845047950745},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.14581120014190674}],"concepts":[{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.816445529460907},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6910216808319092},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6620728969573975},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6487963199615479},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.6067562699317932},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.57829749584198},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5723990201950073},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.547756552696228},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5074240565299988},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4760536849498749},{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.47194379568099976},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.4521425664424896},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4273122549057007},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4258440136909485},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42026498913764954},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26928845047950745},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.14581120014190674},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2016.2521428","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2016.2521428","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:26960236","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26960236","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 cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G936074557","display_name":null,"funder_award_id":"61572540","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1514928307","https://openalex.org/W1560941629","https://openalex.org/W1965735782","https://openalex.org/W1971066121","https://openalex.org/W1974042113","https://openalex.org/W1974774078","https://openalex.org/W1975815261","https://openalex.org/W1978749115","https://openalex.org/W1992085455","https://openalex.org/W1999457380","https://openalex.org/W2011952414","https://openalex.org/W2016378714","https://openalex.org/W2030754587","https://openalex.org/W2036315407","https://openalex.org/W2045079989","https://openalex.org/W2046119925","https://openalex.org/W2052107321","https://openalex.org/W2056370875","https://openalex.org/W2067625321","https://openalex.org/W2078146345","https://openalex.org/W2083799719","https://openalex.org/W2085400714","https://openalex.org/W2085692415","https://openalex.org/W2093014173","https://openalex.org/W2097073572","https://openalex.org/W2099244020","https://openalex.org/W2102591820","https://openalex.org/W2107260834","https://openalex.org/W2109239774","https://openalex.org/W2116148865","https://openalex.org/W2117865218","https://openalex.org/W2121058967","https://openalex.org/W2124139674","https://openalex.org/W2125352755","https://openalex.org/W2125527601","https://openalex.org/W2126773133","https://openalex.org/W2128659236","https://openalex.org/W2129812935","https://openalex.org/W2131628350","https://openalex.org/W2135338342","https://openalex.org/W2136396015","https://openalex.org/W2144348684","https://openalex.org/W2148358298","https://openalex.org/W2150427434","https://openalex.org/W2151003347","https://openalex.org/W2153663612","https://openalex.org/W2154011501","https://openalex.org/W2160817147","https://openalex.org/W2160924560","https://openalex.org/W2162915697","https://openalex.org/W2165141499","https://openalex.org/W2399812666","https://openalex.org/W2461349148","https://openalex.org/W2536599074","https://openalex.org/W3104072696","https://openalex.org/W3104720471","https://openalex.org/W4237938455","https://openalex.org/W6675423221"],"related_works":["https://openalex.org/W1974198688","https://openalex.org/W2011611369","https://openalex.org/W4297791310","https://openalex.org/W4245251483","https://openalex.org/W2116148865","https://openalex.org/W2134343866","https://openalex.org/W2890544631","https://openalex.org/W1973211400","https://openalex.org/W4372266926","https://openalex.org/W2366556501"],"abstract_inverted_index":{"Joint":[0],"sparse":[1,132],"representation":[2],"(JSR)":[3],"has":[4],"shown":[5],"great":[6],"potential":[7],"in":[8],"various":[9],"image":[10,115],"processing":[11],"and":[12,53,130],"computer":[13],"vision":[14],"tasks.":[15],"Nevertheless,":[16],"the":[17,46,61,71,77,95,102,111,127,131],"conventional":[18],"JSR":[19,31],"is":[20,57,120,145],"fragile":[21],"to":[22,34,59,92,147],"outliers.":[23,54,74],"In":[24],"this":[25],"paper,":[26],"we":[27,80,100],"propose":[28],"a":[29,37,83,135],"weighted":[30,87],"(WJSR)":[32],"model":[33,56],"simultaneously":[35],"encode":[36],"set":[38],"of":[39,73],"data":[40,67],"samples":[41,68],"that":[42,141],"are":[43],"drawn":[44],"from":[45],"same":[47],"subspace":[48],"but":[49],"corrupted":[50],"with":[51,126],"noise":[52,106,151],"Our":[55],"desirable":[58],"exploit":[60],"common":[62],"information":[63],"shared":[64],"by":[65,108,123],"these":[66],"while":[69],"reducing":[70],"influence":[72],"To":[75],"solve":[76],"WJSR":[78,103],"model,":[79],"further":[81,121],"introduce":[82],"greedy":[84],"algorithm":[85],"called":[86],"simultaneous":[88],"orthogonal":[89],"matching":[90],"pursuit":[91],"efficiently":[93],"approximate":[94],"global":[96,128],"optimal":[97],"solution.":[98],"Then,":[99],"apply":[101],"for":[104],"mixed":[105,150],"removal":[107,152],"jointly":[109],"coding":[110],"grouped":[112],"nonlocal":[113],"similar":[114],"patches.":[116],"The":[117],"denoising":[118,143],"performance":[119],"improved":[122],"incorporating":[124],"it":[125],"prior":[129],"errors":[133],"into":[134],"unified":[136],"framework.":[137],"Experimental":[138],"results":[139],"show":[140],"our":[142],"method":[144],"superior":[146],"several":[148],"state-of-the-art":[149],"methods.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":22},{"year":2020,"cited_by_count":23},{"year":2019,"cited_by_count":21},{"year":2018,"cited_by_count":24},{"year":2017,"cited_by_count":21},{"year":2016,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
