{"id":"https://openalex.org/W2540621430","doi":"https://doi.org/10.1109/acssc.2012.6489319","title":"An efficient video denoising method using decomposition approach for low-rank matrix completion","display_name":"An efficient video denoising method using decomposition approach for low-rank matrix completion","publication_year":2012,"publication_date":"2012-11-01","ids":{"openalex":"https://openalex.org/W2540621430","doi":"https://doi.org/10.1109/acssc.2012.6489319","mag":"2540621430"},"language":"en","primary_location":{"id":"doi:10.1109/acssc.2012.6489319","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2012.6489319","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)","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/A5071161476","display_name":"Nafise Barzigar","orcid":null},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]},{"id":"https://openalex.org/I87208437","display_name":"University of Tulsa","ror":"https://ror.org/04wn28048","country_code":"US","type":"education","lineage":["https://openalex.org/I87208437"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nafise Barzigar","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Oklahoma, Tulsa, OK, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Oklahoma, Tulsa, OK, USA","institution_ids":["https://openalex.org/I87208437","https://openalex.org/I8692664"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000875289","display_name":"Aminmohammad Roozgard","orcid":null},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]},{"id":"https://openalex.org/I87208437","display_name":"University of Tulsa","ror":"https://ror.org/04wn28048","country_code":"US","type":"education","lineage":["https://openalex.org/I87208437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aminmohammad Roozgard","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Oklahoma, Tulsa, OK, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Oklahoma, Tulsa, OK, USA","institution_ids":["https://openalex.org/I87208437","https://openalex.org/I8692664"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017174019","display_name":"Samuel Cheng","orcid":"https://orcid.org/0000-0002-5439-1137"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]},{"id":"https://openalex.org/I87208437","display_name":"University of Tulsa","ror":"https://ror.org/04wn28048","country_code":"US","type":"education","lineage":["https://openalex.org/I87208437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samuel Cheng","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Oklahoma, Tulsa, OK, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Oklahoma, Tulsa, OK, USA","institution_ids":["https://openalex.org/I87208437","https://openalex.org/I8692664"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102156642","display_name":"Pramode K. Verma","orcid":null},"institutions":[{"id":"https://openalex.org/I87208437","display_name":"University of Tulsa","ror":"https://ror.org/04wn28048","country_code":"US","type":"education","lineage":["https://openalex.org/I87208437"]},{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pramode Verma","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Oklahoma, Tulsa, OK, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Oklahoma, Tulsa, OK, USA","institution_ids":["https://openalex.org/I87208437","https://openalex.org/I8692664"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5071161476"],"corresponding_institution_ids":["https://openalex.org/I8692664","https://openalex.org/I87208437"],"apc_list":null,"apc_paid":null,"fwci":1.3878,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.84645482,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"11","issue":null,"first_page":"1684","last_page":"1687"},"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":0.9990000128746033,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9980999827384949,"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/video-denoising","display_name":"Video denoising","score":0.8752624988555908},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.7956218123435974},{"id":"https://openalex.org/keywords/matrix-completion","display_name":"Matrix completion","score":0.7090380191802979},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6784592866897583},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.603225827217102},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5222504734992981},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5031883120536804},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4896729290485382},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4859668016433716},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.4804374873638153},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.46570923924446106},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44531965255737305},{"id":"https://openalex.org/keywords/low-rank-approximation","display_name":"Low-rank approximation","score":0.435587078332901},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42457228899002075},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36290639638900757},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31918397545814514},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19323909282684326},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.15420019626617432},{"id":"https://openalex.org/keywords/multiview-video-coding","display_name":"Multiview Video Coding","score":0.13228154182434082}],"concepts":[{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.8752624988555908},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7956218123435974},{"id":"https://openalex.org/C2778459887","wikidata":"https://www.wikidata.org/wiki/Q6787865","display_name":"Matrix completion","level":3,"score":0.7090380191802979},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6784592866897583},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.603225827217102},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5222504734992981},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5031883120536804},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4896729290485382},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4859668016433716},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.4804374873638153},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.46570923924446106},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44531965255737305},{"id":"https://openalex.org/C90199385","wikidata":"https://www.wikidata.org/wiki/Q6692777","display_name":"Low-rank approximation","level":3,"score":0.435587078332901},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42457228899002075},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36290639638900757},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31918397545814514},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19323909282684326},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.15420019626617432},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.13228154182434082},{"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"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/C25023664","wikidata":"https://www.wikidata.org/wiki/Q1575637","display_name":"Hankel matrix","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/acssc.2012.6489319","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2012.6489319","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.717.7765","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.717.7765","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://students.ou.edu/B/Nafise.Barzigar-1/Papers/1.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1982920961","https://openalex.org/W2000157792","https://openalex.org/W2031836675","https://openalex.org/W2047071281","https://openalex.org/W2056370875","https://openalex.org/W2060204507","https://openalex.org/W2097787789","https://openalex.org/W2099244020","https://openalex.org/W2100784181","https://openalex.org/W2109240917","https://openalex.org/W2125527601","https://openalex.org/W2126897420","https://openalex.org/W2137577808","https://openalex.org/W2144730813","https://openalex.org/W2148358298","https://openalex.org/W2167985475","https://openalex.org/W2536599074","https://openalex.org/W2952716509","https://openalex.org/W6680683657"],"related_works":["https://openalex.org/W2952489973","https://openalex.org/W4300776969","https://openalex.org/W2106005123","https://openalex.org/W2540621430","https://openalex.org/W3103289951","https://openalex.org/W2266965707","https://openalex.org/W4387323768","https://openalex.org/W2084983808","https://openalex.org/W2906317811","https://openalex.org/W4318564253"],"abstract_inverted_index":{"Denoising":[0],"as":[1],"one":[2],"of":[3,73,90],"the":[4,15,71,78,82,88],"most":[5],"significant":[6],"task":[7],"in":[8,14,36,48,76,93,112],"video":[9,21,33],"processing":[10],"was":[11],"studied":[12],"widely":[13],"literature.":[16],"We":[17,69,99],"propose":[18],"an":[19],"efficient":[20],"denoising":[22,104],"method":[23,67,110],"based":[24],"on":[25],"decomposition":[26],"approach":[27],"for":[28,40],"matrix":[29,65,107],"completion.":[30,108],"A":[31],"noisy":[32],"is":[34],"processed":[35,42],"blockwise":[37],"manner":[38],"and":[39,58],"each":[41],"block":[43],"we":[44],"find":[45],"similar":[46,52],"blocks":[47,53],"other":[49,103],"frames.":[50],"The":[51],"then":[54],"will":[55,61],"stack":[56],"together":[57],"unreliable":[59],"pixels":[60],"remove":[62],"using":[63,106],"fast":[64],"completion":[66],"[1].":[68],"demonstrate":[70],"effectiveness":[72,89],"our":[74,91],"algorithm":[75,92],"removing":[77,94],"mixed":[79],"noise":[80,95],"through":[81],"results.":[83],"Our":[84,109],"results":[85,111],"also":[86,100],"proved":[87],"from":[96],"regular":[97],"structures.":[98],"compare":[101],"with":[102,115],"technique":[105],"comparable":[113],"performance":[114],"significantly":[116],"lower":[117],"computation":[118],"complexity.":[119]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}