{"id":"https://openalex.org/W2752768279","doi":"https://doi.org/10.1109/icme.2017.8019527","title":"Sparsity based reflection removal using external patch search","display_name":"Sparsity based reflection removal using external patch search","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2752768279","doi":"https://doi.org/10.1109/icme.2017.8019527","mag":"2752768279"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2017.8019527","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2017.8019527","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=6483&context=sis_research","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085201191","display_name":"Renjie Wan","orcid":"https://orcid.org/0000-0002-0161-0367"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Renjie Wan","raw_affiliation_strings":["School of Electrical and Electronic Engineering"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038326097","display_name":"Boxin Shi","orcid":"https://orcid.org/0000-0001-6749-0364"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Boxin Shi","raw_affiliation_strings":["Artificial Intelligence Research Center, National Institute of AIST, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Center, National Institute of AIST, Tokyo, Japan","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004167801","display_name":"Ah\u2010Hwee Tan","orcid":"https://orcid.org/0000-0003-0378-4069"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Ah-Hwee Tan","raw_affiliation_strings":["School of Computer Science and Engineering Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080977911","display_name":"Alex C. Kot","orcid":"https://orcid.org/0000-0001-6262-8125"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alex C. Kot","raw_affiliation_strings":["School of Electrical and Electronic Engineering"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5085201191"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1081,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.86590693,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1500","last_page":"1505"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9995999932289124,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9986000061035156,"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/leverage","display_name":"Leverage (statistics)","score":0.7921028137207031},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.7807117700576782},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6984073519706726},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6690118312835693},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5918029546737671},{"id":"https://openalex.org/keywords/reflection","display_name":"Reflection (computer programming)","score":0.5867258906364441},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5744819641113281},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5666778683662415},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5251160264015198},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5079770684242249},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37484011054039},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.27759307622909546}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7921028137207031},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.7807117700576782},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6984073519706726},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6690118312835693},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5918029546737671},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.5867258906364441},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5744819641113281},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5666778683662415},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5251160264015198},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5079770684242249},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37484011054039},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.27759307622909546},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icme.2017.8019527","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2017.8019527","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},{"id":"pmh:oai:ink.library.smu.edu.sg:sis_research-6483","is_oa":true,"landing_page_url":"https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=6483&context=sis_research","pdf_url":null,"source":{"id":"https://openalex.org/S4377196871","display_name":"Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79891267","host_organization_name":"Singapore Management University","host_organization_lineage":["https://openalex.org/I79891267"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1109/ICME.2017.8019527","raw_type":"Conference Proceeding Article"}],"best_oa_location":{"id":"pmh:oai:ink.library.smu.edu.sg:sis_research-6483","is_oa":true,"landing_page_url":"https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=6483&context=sis_research","pdf_url":null,"source":{"id":"https://openalex.org/S4377196871","display_name":"Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79891267","host_organization_name":"Singapore Management University","host_organization_lineage":["https://openalex.org/I79891267"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1109/ICME.2017.8019527","raw_type":"Conference Proceeding Article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7200000286102295}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320320766","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W151604921","https://openalex.org/W1918869474","https://openalex.org/W1978749115","https://openalex.org/W1978900400","https://openalex.org/W1980212291","https://openalex.org/W1982199708","https://openalex.org/W1993296994","https://openalex.org/W2031084501","https://openalex.org/W2038596520","https://openalex.org/W2064194050","https://openalex.org/W2099847307","https://openalex.org/W2107530646","https://openalex.org/W2114119345","https://openalex.org/W2116498084","https://openalex.org/W2123132941","https://openalex.org/W2141362318","https://openalex.org/W2147298660","https://openalex.org/W2161991491","https://openalex.org/W2205608177","https://openalex.org/W2518628096","https://openalex.org/W6640167176","https://openalex.org/W6660318017","https://openalex.org/W6674977497","https://openalex.org/W6677118415","https://openalex.org/W6677521738","https://openalex.org/W6681807782"],"related_works":["https://openalex.org/W3044651058","https://openalex.org/W2132132164","https://openalex.org/W2130228941","https://openalex.org/W2124598728","https://openalex.org/W1533292911","https://openalex.org/W4292794826","https://openalex.org/W3123424645","https://openalex.org/W2076843379","https://openalex.org/W2772414229","https://openalex.org/W4226315576"],"abstract_inverted_index":{"Reflection":[0],"removal":[1,43,99,154],"aims":[2],"at":[3],"separating":[4],"the":[5,8,13,17,22,35,103,116,126,131,150],"mixture":[6,133],"of":[7,37,59],"desired":[9],"background":[10],"scenes":[11],"and":[12,28,61,78,105,135,159],"undesired":[14],"reflections,":[15],"when":[16,65],"photos":[18],"are":[19,68],"taken":[20],"through":[21],"glass.":[23],"It":[24],"has":[25],"both":[26,157],"aesthetic":[27],"practical":[29],"applications":[30],"which":[31],"can":[32],"largely":[33],"improve":[34],"performance":[36],"many":[38,72],"multimedia":[39],"tasks.":[40],"Existing":[41],"reflection":[42,98,153],"approaches":[44],"heavily":[45],"rely":[46],"on":[47],"scene":[48],"priors":[49,67,81],"such":[50,66],"as":[51,109],"separable":[52],"sparse":[53],"gradients":[54],"brought":[55],"by":[56],"different":[57],"levels":[58],"blur,":[60],"they":[62],"easily":[63],"fail":[64],"not":[69],"observed":[70],"in":[71,86,130],"real":[73],"scenes.":[74],"Sparse":[75],"representation":[76],"models":[77],"nonlocal":[79,106],"image":[80,87,107,118,134,161],"have":[82],"shown":[83],"their":[84],"effectiveness":[85],"restoration":[88],"with":[89],"self":[90,136],"similarity.":[91],"In":[92],"this":[93],"work,":[94],"we":[95],"propose":[96],"a":[97,110],"method":[100,155],"benefited":[101],"from":[102,120],"sparsity":[104],"prior":[108,128],"unified":[111],"optimization":[112],"framework.":[113],"We":[114],"leverage":[115],"retrieved":[117],"patch":[119],"an":[121],"external":[122],"database":[123],"to":[124],"overcome":[125],"limited":[127],"information":[129],"input":[132],"similarity":[137],"search.":[138],"The":[139],"experimental":[140],"results":[141],"show":[142],"that":[143],"our":[144],"proposed":[145],"model":[146],"performs":[147],"better":[148],"than":[149],"existing":[151],"state-of-the-art":[152],"for":[156],"objective":[158],"subjective":[160],"qualities.":[162]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
