{"id":"https://openalex.org/W2131020910","doi":"https://doi.org/10.1109/wacv.2009.5403036","title":"Interference reflection separation from a single image","display_name":"Interference reflection separation from a single image","publication_year":2009,"publication_date":"2009-12-01","ids":{"openalex":"https://openalex.org/W2131020910","doi":"https://doi.org/10.1109/wacv.2009.5403036","mag":"2131020910"},"language":"en","primary_location":{"id":"doi:10.1109/wacv.2009.5403036","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2009.5403036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 Workshop on Applications of Computer Vision (WACV)","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/A5076393741","display_name":"Yun-Chung Chung","orcid":null},"institutions":[{"id":"https://openalex.org/I134161618","display_name":"National Taiwan Normal University","ror":"https://ror.org/059dkdx38","country_code":"TW","type":"education","lineage":["https://openalex.org/I134161618"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yun-Chung Chung","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taiwan Normal University, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taiwan Normal University, Taiwan","institution_ids":["https://openalex.org/I134161618"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103547809","display_name":"Shyang\u2010Lih Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I142823887","display_name":"St. John's University","ror":"https://ror.org/00bgtad15","country_code":"US","type":"education","lineage":["https://openalex.org/I142823887"]},{"id":"https://openalex.org/I4210097625","display_name":"St. John's University","ror":"https://ror.org/00wyq5s37","country_code":"TW","type":"education","lineage":["https://openalex.org/I4210097625"]}],"countries":["TW","US"],"is_corresponding":false,"raw_author_name":"Shyang-Lih Chang","raw_affiliation_strings":["Department of Electronic Engineering, Saint John's University, Taiwan","Department of Electronic Engineering, St. John's University, Taiwan#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Saint John's University, Taiwan","institution_ids":["https://openalex.org/I4210097625"]},{"raw_affiliation_string":"Department of Electronic Engineering, St. John's University, Taiwan#TAB#","institution_ids":["https://openalex.org/I142823887"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017995244","display_name":"Jung-Ming Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jung-Ming Wang","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taiwan University, Taiwan","Department of Computer Science and Information Engineering, National Taiwan Univ., Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taiwan University, Taiwan","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taiwan Univ., Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033265076","display_name":"Sei-Wang Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I134161618","display_name":"National Taiwan Normal University","ror":"https://ror.org/059dkdx38","country_code":"TW","type":"education","lineage":["https://openalex.org/I134161618"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Sei-Wang Chen","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taiwan Normal University, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taiwan Normal University, Taiwan","institution_ids":["https://openalex.org/I134161618"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5076393741"],"corresponding_institution_ids":["https://openalex.org/I134161618"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.16594086,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9962000250816345,"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/T11666","display_name":"Color Science and Applications","score":0.9944000244140625,"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/computer-vision","display_name":"Computer vision","score":0.7554888725280762},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7542554140090942},{"id":"https://openalex.org/keywords/reflection","display_name":"Reflection (computer programming)","score":0.6713491678237915},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.6655177474021912},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6499553918838501},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6416800618171692},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4706142544746399},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.45779237151145935},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4463575482368469},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.44479674100875854},{"id":"https://openalex.org/keywords/morphological-gradient","display_name":"Morphological gradient","score":0.4327089190483093},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.42047572135925293},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.3974774181842804},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3605099618434906},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3486555516719818},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.18689116835594177},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08885565400123596}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7554888725280762},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7542554140090942},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.6713491678237915},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.6655177474021912},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6499553918838501},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6416800618171692},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4706142544746399},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.45779237151145935},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4463575482368469},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.44479674100875854},{"id":"https://openalex.org/C96133863","wikidata":"https://www.wikidata.org/wiki/Q6913458","display_name":"Morphological gradient","level":5,"score":0.4327089190483093},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.42047572135925293},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.3974774181842804},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3605099618434906},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3486555516719818},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.18689116835594177},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08885565400123596},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacv.2009.5403036","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2009.5403036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 Workshop on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W58258530","https://openalex.org/W1480309935","https://openalex.org/W1481142035","https://openalex.org/W1513966746","https://openalex.org/W1558369361","https://openalex.org/W1608828283","https://openalex.org/W1991605728","https://openalex.org/W1998999283","https://openalex.org/W2018154656","https://openalex.org/W2064194050","https://openalex.org/W2096768134","https://openalex.org/W2100140302","https://openalex.org/W2107530646","https://openalex.org/W2107998429","https://openalex.org/W2108858415","https://openalex.org/W2121900453","https://openalex.org/W2122122766","https://openalex.org/W2122985851","https://openalex.org/W2125508408","https://openalex.org/W2136748901","https://openalex.org/W2146772029","https://openalex.org/W2150721269","https://openalex.org/W2156958044","https://openalex.org/W2157919506","https://openalex.org/W2161629555","https://openalex.org/W2163736846","https://openalex.org/W2164847484","https://openalex.org/W2168604797","https://openalex.org/W2172662720","https://openalex.org/W2296249689","https://openalex.org/W2995819180","https://openalex.org/W3143788310","https://openalex.org/W4214831569","https://openalex.org/W4256068510","https://openalex.org/W4285719527","https://openalex.org/W4293052488","https://openalex.org/W6602320586","https://openalex.org/W6676075529","https://openalex.org/W6676473957","https://openalex.org/W6678348508","https://openalex.org/W6683028791"],"related_works":["https://openalex.org/W2093958639","https://openalex.org/W2094739233","https://openalex.org/W2150504945","https://openalex.org/W2370741721","https://openalex.org/W2185039875","https://openalex.org/W3023115644","https://openalex.org/W2008160399","https://openalex.org/W2073518521","https://openalex.org/W3110410354","https://openalex.org/W2116510815"],"abstract_inverted_index":{"The":[0,31,104],"interference":[1,27,38,119],"image":[2,11,28,39,86,120],"is":[3,29,97],"defined":[4],"as":[5,58],"the":[6,37,67,72,78,84,94,110],"superpositioning":[7],"of":[8,24,36,74,83,116],"a":[9,25,61,117],"reflection":[10,20,42,79],"and":[12,21,55,80,99,125],"an":[13],"object":[14,22,44,81],"image.":[15],"A":[16],"technique":[17,64],"for":[18],"separating":[19],"components":[23,82],"single":[26,118],"presented.":[30],"proposed":[32,95,111],"method":[33,47,96,112],"classifies":[34],"edges":[35],"into":[40],"either":[41],"or":[43],"related.":[45],"Our":[46],"utilizes":[48],"total":[49],"variation":[50],"(TV)":[51],"method,":[52],"blur":[53],"measure,":[54],"region":[56],"segmentation":[57],"evidence":[59],"with":[60,122],"fuzzy":[62],"integral":[63],"to":[65,90],"classify":[66],"edge":[68,75],"pixels.":[69],"Based":[70],"on":[71],"results":[73,106],"pixel":[76],"classification,":[77],"input":[85],"are":[87],"reconstructed.":[88],"Compared":[89],"previous":[91],"published":[92],"research,":[93],"fast":[98],"requires":[100],"no":[101],"manual":[102],"operations.":[103],"experimental":[105],"have":[107],"demonstrated":[108],"that":[109],"can":[113],"perform":[114],"separation":[115],"effectively":[121],"small":[123],"misadjustments":[124],"rapid":[126],"convergence.":[127]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}