{"id":"https://openalex.org/W2116786529","doi":"https://doi.org/10.1109/icassp.2009.4959794","title":"Separation of layers from images containing multiple reflections and transparency using cyclic permutation","display_name":"Separation of layers from images containing multiple reflections and transparency using cyclic permutation","publication_year":2009,"publication_date":"2009-04-01","ids":{"openalex":"https://openalex.org/W2116786529","doi":"https://doi.org/10.1109/icassp.2009.4959794","mag":"2116786529"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2009.4959794","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4959794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5102983401","display_name":"Kenji Hara","orcid":"https://orcid.org/0000-0003-1649-1046"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kenji Hara","raw_affiliation_strings":["Department of Visual Communication Design, Kyushu University, Fukuoka, Japan","Department of Visual Communication Design, Kyushu University, Shiobaru 4-9-1, Minami-ku, Fukuoka, 815-8540 JAPAN"],"affiliations":[{"raw_affiliation_string":"Department of Visual Communication Design, Kyushu University, Fukuoka, Japan","institution_ids":["https://openalex.org/I135598925"]},{"raw_affiliation_string":"Department of Visual Communication Design, Kyushu University, Shiobaru 4-9-1, Minami-ku, Fukuoka, 815-8540 JAPAN","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005995692","display_name":"Kohei Inoue","orcid":"https://orcid.org/0000-0001-8793-9616"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kohei Inoue","raw_affiliation_strings":["Department of Visual Communication Design, Kyushu University, Fukuoka, Japan","Department of Visual Communication Design, Kyushu University, Shiobaru 4-9-1, Minami-ku, Fukuoka, 815-8540 JAPAN"],"affiliations":[{"raw_affiliation_string":"Department of Visual Communication Design, Kyushu University, Fukuoka, Japan","institution_ids":["https://openalex.org/I135598925"]},{"raw_affiliation_string":"Department of Visual Communication Design, Kyushu University, Shiobaru 4-9-1, Minami-ku, Fukuoka, 815-8540 JAPAN","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042478867","display_name":"Kiichi Urahama","orcid":null},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kiichi Urahama","raw_affiliation_strings":["Department of Visual Communication Design, Kyushu University, Fukuoka, Japan","Department of Visual Communication Design, Kyushu University, Shiobaru 4-9-1, Minami-ku, Fukuoka, 815-8540 JAPAN"],"affiliations":[{"raw_affiliation_string":"Department of Visual Communication Design, Kyushu University, Fukuoka, Japan","institution_ids":["https://openalex.org/I135598925"]},{"raw_affiliation_string":"Department of Visual Communication Design, Kyushu University, Shiobaru 4-9-1, Minami-ku, Fukuoka, 815-8540 JAPAN","institution_ids":["https://openalex.org/I135598925"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102983401"],"corresponding_institution_ids":["https://openalex.org/I135598925"],"apc_list":null,"apc_paid":null,"fwci":0.3525,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.57657962,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1157","last_page":"1160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9965000152587891,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/permutation","display_name":"Permutation (music)","score":0.7187469005584717},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6326570510864258},{"id":"https://openalex.org/keywords/transparency","display_name":"Transparency (behavior)","score":0.5749430060386658},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5133325457572937},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5054523944854736},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4990231990814209},{"id":"https://openalex.org/keywords/linear-equation","display_name":"Linear equation","score":0.4578385353088379},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4501488208770752},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4450494647026062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39759185910224915},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3352031707763672},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33471494913101196},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.10482823848724365},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08586439490318298}],"concepts":[{"id":"https://openalex.org/C21308566","wikidata":"https://www.wikidata.org/wiki/Q7169365","display_name":"Permutation (music)","level":2,"score":0.7187469005584717},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6326570510864258},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.5749430060386658},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5133325457572937},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5054523944854736},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4990231990814209},{"id":"https://openalex.org/C77346573","wikidata":"https://www.wikidata.org/wiki/Q484637","display_name":"Linear equation","level":2,"score":0.4578385353088379},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4501488208770752},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4450494647026062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39759185910224915},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3352031707763672},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33471494913101196},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.10482823848724365},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08586439490318298},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2009.4959794","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4959794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W620135243","https://openalex.org/W1489793438","https://openalex.org/W1558369361","https://openalex.org/W2049847280","https://openalex.org/W2098356918","https://openalex.org/W2108384452","https://openalex.org/W2116040950","https://openalex.org/W2121424729","https://openalex.org/W2161219071","https://openalex.org/W2163736846","https://openalex.org/W6633270728"],"related_works":["https://openalex.org/W4382930947","https://openalex.org/W3081288631","https://openalex.org/W3152382318","https://openalex.org/W3004686567","https://openalex.org/W2738656338","https://openalex.org/W2603787370","https://openalex.org/W2555400967","https://openalex.org/W3214759741","https://openalex.org/W3174876210","https://openalex.org/W3126697728"],"abstract_inverted_index":{"In":[0],"the":[1,77,84],"paper,":[2],"we":[3],"propose":[4],"a":[5,18,35,43,56],"new":[6],"method":[7],"for":[8,62,93],"blind":[9],"separation":[10],"of":[11,15,20,45,58,66,79,86],"an":[12],"arbitrary":[13],"number":[14],"images":[16,70,98],"from":[17,97],"set":[19,44,57],"their":[21],"linear":[22,60],"mixtures":[23,85],"with":[24],"unknown":[25],"coefficients.":[26],"This":[27],"approach":[28],"is":[29],"as":[30],"follows.":[31],"We":[32],"first":[33],"introduce":[34],"novel":[36],"multiple":[37,46,50,95,100],"correlation":[38,51],"between":[39,75],"one":[40],"image":[41],"and":[42,81,102],"images.":[47,67,87],"Then":[48],"this":[49],"leads":[52],"us":[53],"to":[54],"provide":[55],"simultaneous":[59],"equations":[61,80],"updating":[63],"each":[64],"mixture":[65],"Finally,":[68],"source":[69],"are":[71],"recovered":[72],"by":[73],"iterating":[74],"solving":[76],"sets":[78],"cyclically":[82],"permuting":[83],"The":[88],"technique":[89],"can":[90],"be":[91],"applied":[92],"extracting":[94],"layers":[96],"containing":[99],"reflections":[101],"transparency.":[103]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}