{"id":"https://openalex.org/W2038102124","doi":"https://doi.org/10.1109/embc.2013.6609449","title":"Mixture noise removal in ultrasound images using SCoBeP and low-rank matrix completion","display_name":"Mixture noise removal in ultrasound images using SCoBeP and low-rank matrix completion","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2038102124","doi":"https://doi.org/10.1109/embc.2013.6609449","mag":"2038102124","pmid":"https://pubmed.ncbi.nlm.nih.gov/24109636"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2013.6609449","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2013.6609449","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-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/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, Oklahoma University, Tulsa, OK, USA","Dept. of Electr. & Comput. Eng., Oklahoma Univ., Tulsa, OK, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Oklahoma University, Tulsa, OK, USA","institution_ids":["https://openalex.org/I87208437"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Oklahoma Univ., Tulsa, OK, USA","institution_ids":["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, Oklahoma University, Tulsa, OK, USA","Dept. of Electr. & Comput. Eng., Oklahoma Univ., Tulsa, OK, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Oklahoma University, Tulsa, OK, USA","institution_ids":["https://openalex.org/I87208437"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Oklahoma Univ., Tulsa, OK, USA","institution_ids":["https://openalex.org/I8692664"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102156642","display_name":"Pramode K. Verma","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":"Pramode Verma","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Oklahoma University, Tulsa, OK, USA","Dept. of Electr. & Comput. Eng., Oklahoma Univ., Tulsa, OK, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Oklahoma University, Tulsa, OK, USA","institution_ids":["https://openalex.org/I87208437"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Oklahoma Univ., Tulsa, OK, USA","institution_ids":["https://openalex.org/I8692664"]}]},{"author_position":"last","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, Oklahoma University, Tulsa, OK, USA","Dept. of Electr. & Comput. Eng., Oklahoma Univ., Tulsa, OK, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Oklahoma University, Tulsa, OK, USA","institution_ids":["https://openalex.org/I87208437"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Oklahoma Univ., Tulsa, OK, USA","institution_ids":["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":0.5443,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.7005357,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"56","issue":null,"first_page":"109","last_page":"112"},"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":0.9994000196456909,"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":0.998199999332428,"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/noise-reduction","display_name":"Noise reduction","score":0.7325499653816223},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.62446528673172},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6087335348129272},{"id":"https://openalex.org/keywords/matrix-completion","display_name":"Matrix completion","score":0.5879040360450745},{"id":"https://openalex.org/keywords/video-denoising","display_name":"Video denoising","score":0.5366503596305847},{"id":"https://openalex.org/keywords/non-local-means","display_name":"Non-local means","score":0.5214295387268066},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5167804956436157},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.5154443979263306},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.49677520990371704},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.47213274240493774},{"id":"https://openalex.org/keywords/low-rank-approximation","display_name":"Low-rank approximation","score":0.4428153336048126},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.4325691759586334},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4249385893344879},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.41386091709136963},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38097304105758667},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37435436248779297},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.34372478723526},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.3011637330055237},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2974127531051636},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.26262587308883667},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.2000921666622162},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.09184417128562927}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7325499653816223},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.62446528673172},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6087335348129272},{"id":"https://openalex.org/C2778459887","wikidata":"https://www.wikidata.org/wiki/Q6787865","display_name":"Matrix completion","level":3,"score":0.5879040360450745},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.5366503596305847},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.5214295387268066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5167804956436157},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.5154443979263306},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.49677520990371704},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.47213274240493774},{"id":"https://openalex.org/C90199385","wikidata":"https://www.wikidata.org/wiki/Q6692777","display_name":"Low-rank approximation","level":3,"score":0.4428153336048126},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.4325691759586334},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4249385893344879},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.41386091709136963},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38097304105758667},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37435436248779297},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34372478723526},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.3011637330055237},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2974127531051636},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.26262587308883667},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.2000921666622162},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.09184417128562927},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/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}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014463","descriptor_name":"Ultrasonography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014463","descriptor_name":"Ultrasonography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014463","descriptor_name":"Ultrasonography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2013.6609449","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2013.6609449","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:24109636","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24109636","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1978146734","https://openalex.org/W1981558336","https://openalex.org/W1983008863","https://openalex.org/W1985948328","https://openalex.org/W2007190462","https://openalex.org/W2030521421","https://openalex.org/W2047071281","https://openalex.org/W2060204507","https://openalex.org/W2072576946","https://openalex.org/W2099244020","https://openalex.org/W2105673616","https://openalex.org/W2125527601","https://openalex.org/W2134469936","https://openalex.org/W2137813581","https://openalex.org/W2146094389","https://openalex.org/W2148358298","https://openalex.org/W2160979406","https://openalex.org/W2540621430","https://openalex.org/W2949834189","https://openalex.org/W2952716509","https://openalex.org/W6662220948","https://openalex.org/W6668687509"],"related_works":["https://openalex.org/W2952489973","https://openalex.org/W4300776969","https://openalex.org/W2106005123","https://openalex.org/W2540621430","https://openalex.org/W2266965707","https://openalex.org/W4387323768","https://openalex.org/W2084983808","https://openalex.org/W233850645","https://openalex.org/W2906317811","https://openalex.org/W4294691692"],"abstract_inverted_index":{"Denoising":[0],"as":[1,61],"one":[2],"of":[3,48,135],"the":[4,15,26,106,133,140,144],"most":[5,18],"significant":[6],"tools":[7],"in":[8,14,72,95,138,159],"ultrasound":[9,20,38],"imaging":[10],"was":[11],"studied":[12],"widely":[13],"literature.":[16],"However,":[17],"existing":[19],"image":[21,39,69],"denoising":[22,40,151],"algorithms":[23],"have":[24],"assumed":[25],"additive":[27],"white":[28],"Gaussian":[29],"noise.":[30],"In":[31,63],"this":[32],"work,":[33],"we":[34,80,99],"propose":[35],"two":[36],"efficient":[37],"methods":[41,52,157],"that":[42],"can":[43],"handle":[44],"a":[45,67],"noise":[46,142],"mixture":[47],"various":[49],"types.":[50],"Our":[51,156],"are":[53],"based":[54],"on":[55,85],"SCoBeP":[56],"and":[57,75,91,120],"low-rank":[58],"matrix":[59,128,154],"completion":[60,129],"follows.":[62],"our":[64,96,136],"first":[65],"method,":[66],"noisy":[68],"is":[70],"processed":[71,78],"blockwise":[73],"manner":[74],"for":[76],"each":[77],"block":[79],"find":[81],"candidate":[82,114],"match":[83],"pixels":[84,115,122],"other":[86,150],"images":[87],"using":[88,126,153],"sparse":[89],"coding":[90],"belief":[92],"propagation,":[93],"where":[94],"second":[97],"algorithm,":[98],"use":[100],"overlapped":[101],"patches":[102],"to":[103],"further":[104],"lower":[105,164],"computation":[107,165],"complexity.":[108,166],"The":[109],"blocks":[110],"centered":[111],"around":[112],"these":[113],"then":[116],"will":[117,123],"stack":[118],"together":[119],"unreliable":[121],"be":[124],"removed":[125],"fast":[127],"method.":[130],"We":[131,146],"demonstrate":[132],"effectiveness":[134],"algorithm":[137],"removing":[139],"mixed":[141],"through":[143],"results.":[145],"also":[147],"compare":[148],"with":[149,162],"technique":[152],"completion.":[155],"results":[158],"comparable":[160],"performance":[161],"significantly":[163]},"counts_by_year":[{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
