{"id":"https://openalex.org/W2789591649","doi":"https://doi.org/10.1109/lsp.2018.2816579","title":"Reconstruction for Spatially Distributed Single-Pixel Imaging Based on Pattern Filtering","display_name":"Reconstruction for Spatially Distributed Single-Pixel Imaging Based on Pattern Filtering","publication_year":2018,"publication_date":"2018-03-16","ids":{"openalex":"https://openalex.org/W2789591649","doi":"https://doi.org/10.1109/lsp.2018.2816579","mag":"2789591649"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2018.2816579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2018.2816579","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-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/A5003575807","display_name":"Tatsuya Nobunaga","orcid":"https://orcid.org/0000-0002-2937-9814"},"institutions":[{"id":"https://openalex.org/I4210165351","display_name":"Toyota Central Research and Development Laboratories (Japan)","ror":"https://ror.org/05mjgqe69","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210125472","https://openalex.org/I4210165351"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Tatsuya Nobunaga","raw_affiliation_strings":["Toyota Central Research and Development Laboratories, Inc., Nagakute, Japan"],"affiliations":[{"raw_affiliation_string":"Toyota Central Research and Development Laboratories, Inc., Nagakute, Japan","institution_ids":["https://openalex.org/I4210165351"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073314353","display_name":"Hiroya Tanaka","orcid":"https://orcid.org/0000-0002-5113-0927"},"institutions":[{"id":"https://openalex.org/I4210165351","display_name":"Toyota Central Research and Development Laboratories (Japan)","ror":"https://ror.org/05mjgqe69","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210125472","https://openalex.org/I4210165351"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroya Tanaka","raw_affiliation_strings":["Toyota Central Research and Development Laboratories, Inc., Nagakute, Japan"],"affiliations":[{"raw_affiliation_string":"Toyota Central Research and Development Laboratories, Inc., Nagakute, Japan","institution_ids":["https://openalex.org/I4210165351"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025021852","display_name":"Yukihiro Tadokoro","orcid":"https://orcid.org/0000-0002-1844-3040"},"institutions":[{"id":"https://openalex.org/I4210165351","display_name":"Toyota Central Research and Development Laboratories (Japan)","ror":"https://ror.org/05mjgqe69","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210125472","https://openalex.org/I4210165351"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yukihiro Tadokoro","raw_affiliation_strings":["Toyota Central Research and Development Laboratories, Inc., Nagakute, Japan"],"affiliations":[{"raw_affiliation_string":"Toyota Central Research and Development Laboratories, Inc., Nagakute, Japan","institution_ids":["https://openalex.org/I4210165351"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003575807"],"corresponding_institution_ids":["https://openalex.org/I4210165351"],"apc_list":null,"apc_paid":null,"fwci":1.1449,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.7578534,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"25","issue":"5","first_page":"705","last_page":"709"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11996","display_name":"Random lasers and scattering media","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3102","display_name":"Acoustics and Ultrasonics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11996","display_name":"Random lasers and scattering media","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3102","display_name":"Acoustics and Ultrasonics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9993000030517578,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.7647240161895752},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6804337501525879},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6627727746963501},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6527919769287109},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6161455512046814},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5997576117515564},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5996809005737305},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5644844174385071},{"id":"https://openalex.org/keywords/image-sensor","display_name":"Image sensor","score":0.5644703507423401},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4927861988544464},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.43866121768951416},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1504780352115631}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7647240161895752},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6804337501525879},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6627727746963501},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6527919769287109},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6161455512046814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5997576117515564},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5996809005737305},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5644844174385071},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.5644703507423401},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4927861988544464},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.43866121768951416},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1504780352115631},{"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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2018.2816579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2018.2816579","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7699999809265137,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1976078268","https://openalex.org/W2007362377","https://openalex.org/W2104266187","https://openalex.org/W2111719256","https://openalex.org/W2122548617","https://openalex.org/W2152682976","https://openalex.org/W2162672488","https://openalex.org/W2162842940","https://openalex.org/W2494274259","https://openalex.org/W2534060989","https://openalex.org/W2552681324","https://openalex.org/W2563752308","https://openalex.org/W2963999426","https://openalex.org/W4247148905","https://openalex.org/W6684188680"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W4300044672","https://openalex.org/W2810730439","https://openalex.org/W1881631164","https://openalex.org/W2896778670","https://openalex.org/W2944239605","https://openalex.org/W2139783875","https://openalex.org/W1873415836","https://openalex.org/W4312469487"],"abstract_inverted_index":{"We":[0],"propose":[1],"an":[2,75],"image":[3,21],"sensing":[4],"scheme":[5,18],"using":[6],"tiny":[7],"spatially":[8],"distributed":[9],"sensor":[10,35],"nodes":[11,36],"in":[12,66,96],"conjunction":[13],"with":[14],"compressive":[15],"sampling.":[16],"This":[17],"permits":[19],"fast":[20],"acquisition":[22],"due":[23,37],"to":[24,38],"simultaneous":[25],"photographing":[26],"at":[27,54],"each":[28,55],"node":[29],"and":[30,73],"size":[31],"reduction":[32],"of":[33],"the":[34,67,88],"a":[39,70],"simple":[40],"imaging":[41],"architecture.":[42],"Analysis":[43],"suggests":[44],"that":[45,82],"reconstruction":[46,79],"error":[47],"occurs":[48],"because":[49],"different":[50],"scenes":[51],"are":[52],"taken":[53],"node.":[56],"To":[57],"address":[58],"this":[59],"issue,":[60],"we":[61],"introduce":[62],"two":[63],"filtering":[64,84],"processes":[65,85],"reconstruction:":[68],"1)":[69],"reduced-randomized":[71],"filter;":[72],"2)":[74],"unbiased":[76],"filter.":[77],"The":[78,90],"examples":[80],"demonstrate":[81],"such":[83],"effectively":[86],"reduce":[87],"error.":[89],"proposed":[91],"method":[92],"is":[93],"potentially":[94],"useful":[95],"forthcoming":[97],"sensors":[98],"based":[99],"on":[100],"ultrasmall-scale":[101],"devices.":[102]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}