{"id":"https://openalex.org/W2954876976","doi":"https://doi.org/10.1109/tmi.2019.2926501","title":"Specular Reflections Removal for Endoscopic Image Sequences With Adaptive-RPCA Decomposition","display_name":"Specular Reflections Removal for Endoscopic Image Sequences With Adaptive-RPCA Decomposition","publication_year":2019,"publication_date":"2019-07-07","ids":{"openalex":"https://openalex.org/W2954876976","doi":"https://doi.org/10.1109/tmi.2019.2926501","mag":"2954876976","pmid":"https://pubmed.ncbi.nlm.nih.gov/31283499"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2019.2926501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2019.2926501","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Medical Imaging","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/A5025122489","display_name":"Ranyang Li","orcid":"https://orcid.org/0000-0002-1103-1844"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ranyang Li","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011288466","display_name":"Junjun Pan","orcid":"https://orcid.org/0000-0002-7991-9540"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjun Pan","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070566433","display_name":"Yaqing Si","orcid":"https://orcid.org/0000-0001-7622-1908"},"institutions":[{"id":"https://openalex.org/I4210156804","display_name":"First Affiliated Hospital of Zhengzhou University","ror":"https://ror.org/056swr059","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210156804"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaqing Si","raw_affiliation_strings":["Department of Minimally Invasive Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Minimally Invasive Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I4210156804"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101616088","display_name":"Bin Yan","orcid":"https://orcid.org/0000-0002-6228-3865"},"institutions":[{"id":"https://openalex.org/I2802939634","display_name":"Chinese PLA General Hospital","ror":"https://ror.org/04gw3ra78","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2802939634"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Yan","raw_affiliation_strings":["Department of Gastroenterology and Hepatology, Chinese PLA General Hospital, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Gastroenterology and Hepatology, Chinese PLA General Hospital, Beijing, China","institution_ids":["https://openalex.org/I2802939634"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103156308","display_name":"Yong Hu","orcid":"https://orcid.org/0000-0002-8505-5910"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Hu","raw_affiliation_strings":["School of New Media Art and Design, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of New Media Art and Design, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091408797","display_name":"Hong Qin","orcid":"https://orcid.org/0000-0001-7699-1355"},"institutions":[{"id":"https://openalex.org/I1327163397","display_name":"State University of New York","ror":"https://ror.org/01q1z8k08","country_code":"US","type":"education","lineage":["https://openalex.org/I1327163397"]},{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hong Qin","raw_affiliation_strings":["Department of Computer Science, Stony Brook University, The State University of New York at Stony Brook, Stony Brook, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Stony Brook University, The State University of New York at Stony Brook, Stony Brook, USA","institution_ids":["https://openalex.org/I59553526","https://openalex.org/I1327163397"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5025122489"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":2.6567,"has_fulltext":false,"cited_by_count":78,"citation_normalized_percentile":{"value":0.92226472,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"39","issue":"2","first_page":"328","last_page":"340"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9997000098228455,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9997000098228455,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9987999796867371,"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"}},{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robust-principal-component-analysis","display_name":"Robust principal component analysis","score":0.8986070156097412},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7420651912689209},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6813979148864746},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5812503695487976},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4960225522518158},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4893438220024109},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4874904155731201},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4713919758796692},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4563257694244385},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42577847838401794},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.34931445121765137}],"concepts":[{"id":"https://openalex.org/C2777749129","wikidata":"https://www.wikidata.org/wiki/Q17148469","display_name":"Robust principal component analysis","level":3,"score":0.8986070156097412},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7420651912689209},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6813979148864746},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5812503695487976},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4960225522518158},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4893438220024109},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4874904155731201},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4713919758796692},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4563257694244385},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42577847838401794},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.34931445121765137},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003135","descriptor_name":"Common Bile Duct","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D003135","descriptor_name":"Common Bile Duct","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D003135","descriptor_name":"Common Bile Duct","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D003135","descriptor_name":"Common Bile Duct","qualifier_ui":"Q000601","qualifier_name":"surgery","is_major_topic":false},{"descriptor_ui":"D003135","descriptor_name":"Common Bile Duct","qualifier_ui":"Q000601","qualifier_name":"surgery","is_major_topic":false},{"descriptor_ui":"D003135","descriptor_name":"Common Bile Duct","qualifier_ui":"Q000601","qualifier_name":"surgery","is_major_topic":false},{"descriptor_ui":"D004724","descriptor_name":"Endoscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004724","descriptor_name":"Endoscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004724","descriptor_name":"Endoscopy","qualifier_ui":"Q000379","qualifier_name":"methods","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2019.2926501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2019.2926501","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Medical Imaging","raw_type":"journal-article"},{"id":"pmid:31283499","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31283499","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 medical imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2877319249","display_name":null,"funder_award_id":"61532002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3605860720","display_name":null,"funder_award_id":"61872020","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6561657996","display_name":null,"funder_award_id":"61672149","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/W1506911060","https://openalex.org/W1524528038","https://openalex.org/W1697920635","https://openalex.org/W1929049076","https://openalex.org/W1973222763","https://openalex.org/W1987423623","https://openalex.org/W2013854956","https://openalex.org/W2023794482","https://openalex.org/W2045875333","https://openalex.org/W2070080778","https://openalex.org/W2071869680","https://openalex.org/W2074977333","https://openalex.org/W2079686637","https://openalex.org/W2081385752","https://openalex.org/W2081713725","https://openalex.org/W2083752478","https://openalex.org/W2085825493","https://openalex.org/W2087018183","https://openalex.org/W2090256705","https://openalex.org/W2111861511","https://openalex.org/W2145962650","https://openalex.org/W2147924976","https://openalex.org/W2153736712","https://openalex.org/W2155190936","https://openalex.org/W2158562930","https://openalex.org/W2161707328","https://openalex.org/W2175634846","https://openalex.org/W2187351272","https://openalex.org/W2255470491","https://openalex.org/W2295457343","https://openalex.org/W2412436235","https://openalex.org/W2581630057","https://openalex.org/W2582073395","https://openalex.org/W2588962948","https://openalex.org/W2600195053","https://openalex.org/W2604681326","https://openalex.org/W2605897185","https://openalex.org/W2666606568","https://openalex.org/W2734062957","https://openalex.org/W2742648491","https://openalex.org/W2752922896","https://openalex.org/W2793160340","https://openalex.org/W2803185687","https://openalex.org/W2809407197","https://openalex.org/W2887843685","https://openalex.org/W2899695718","https://openalex.org/W2951401720","https://openalex.org/W2963472846","https://openalex.org/W2963958726","https://openalex.org/W2992362946","https://openalex.org/W3101150700","https://openalex.org/W3101949476","https://openalex.org/W3104099693","https://openalex.org/W3111652977","https://openalex.org/W4243419119","https://openalex.org/W6630108103","https://openalex.org/W6640445712","https://openalex.org/W6682372315"],"related_works":["https://openalex.org/W4283792950","https://openalex.org/W2549425886","https://openalex.org/W2124460284","https://openalex.org/W2563483704","https://openalex.org/W3124370832","https://openalex.org/W3003801099","https://openalex.org/W2003667605","https://openalex.org/W62130100","https://openalex.org/W1980960407","https://openalex.org/W2365825610"],"abstract_inverted_index":{"Specular":[0],"reflections":[1,56],"(i.e.,":[2],"highlight)":[3],"always":[4],"exist":[5],"in":[6,57,147],"endoscopic":[7,58,144],"images,":[8],"and":[9,16,104,112,154,172],"they":[10],"can":[11,62,164,173,197],"severely":[12],"disturb":[13],"surgeons'":[14],"observation":[15],"judgment.":[17],"In":[18,39,72],"an":[19,44],"augmented":[20],"reality":[21],"(AR)-based":[22],"surgery":[23,150],"navigation":[24],"system,":[25],"the":[26,32,54,65,80,87,96,100,105,110,119,123,160,166,181,184,190],"highlight":[27,81,107,176,192],"may":[28],"also":[29,196],"lead":[30],"to":[31,52,128],"failure":[33],"of":[34,126,143],"feature":[35],"extraction":[36],"or":[37],"registration.":[38],"this":[40,73],"paper,":[41],"we":[42,76],"propose":[43],"adaptive":[45],"robust":[46,175],"principal":[47],"component":[48],"analysis":[49],"(Adaptive-RPCA)":[50],"method":[51,135,163,186],"remove":[53],"specular":[55],"image":[59,82,103,145,200],"sequences.":[60,201],"It":[61],"iteratively":[63],"optimize":[64],"sparse":[66,101,113,168],"part":[67],"parameter":[68],"during":[69],"RPCA":[70],"decomposition.":[71],"new":[74,161],"approach,":[75],"first":[77],"adaptively":[78,198],"detect":[79],"based":[83],"on":[84],"pixels.":[85],"With":[86],"proposed":[88,185],"distance":[89,98,121],"metric":[90],"algorithm,":[91],"it":[92],"then":[93],"automatically":[94],"measures":[95],"similarity":[97,120],"between":[99,122],"result":[102],"detected":[106],"image.":[108],"Finally,":[109],"low-rank":[111],"results":[114,194],"are":[115],"obtained":[116],"by":[117,139],"enforcing":[118],"two":[124],"types":[125,142],"images":[127],"fall":[129],"within":[130],"a":[131],"certain":[132],"range.":[133],"Our":[134],"has":[136],"been":[137],"verified":[138],"multiple":[140],"different":[141],"sequences":[146],"minimally":[148],"invasive":[149],"(MIS).":[151],"The":[152],"experiments":[153],"clinical":[155],"blind":[156],"tests":[157],"demonstrate":[158],"that":[159],"Adaptive-RPCA":[162],"obtain":[165],"optimal":[167],"decomposition":[169],"parameters":[170],"directly":[171],"generate":[174],"removal":[177,193],"results.":[178],"Compared":[179],"with":[180],"state-of-the-art":[182],"approaches,":[183],"not":[187],"only":[188],"achieves":[189],"better":[191],"but":[195],"process":[199]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":5}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}
