{"id":"https://openalex.org/W2188738840","doi":"https://doi.org/10.1109/sips.2015.7345011","title":"Pixel enlargement in high-speed camera image acquisition based on 3D sparse representations","display_name":"Pixel enlargement in high-speed camera image acquisition based on 3D sparse representations","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2188738840","doi":"https://doi.org/10.1109/sips.2015.7345011","mag":"2188738840"},"language":"en","primary_location":{"id":"doi:10.1109/sips.2015.7345011","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sips.2015.7345011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Workshop on Signal Processing Systems (SiPS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5112495604","display_name":"Akira Hirabayashi","orcid":null},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"A. Hirabayashi","raw_affiliation_strings":["College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052263367","display_name":"Naoki Nogami","orcid":null},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"N. Nogami","raw_affiliation_strings":["College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005308910","display_name":"Jeremy White","orcid":"https://orcid.org/0000-0002-5939-461X"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"J. White","raw_affiliation_strings":["College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024254029","display_name":"Laurent Condat","orcid":"https://orcid.org/0000-0001-7087-1002"},"institutions":[{"id":"https://openalex.org/I4210124956","display_name":"GIPSA-Lab","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"L. Condat","raw_affiliation_strings":["University of Grenoble Alpes GIPSA-lab, Grenoble, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Grenoble Alpes GIPSA-lab, Grenoble, France","institution_ids":["https://openalex.org/I4210124956","https://openalex.org/I899635006"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7218,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.83324397,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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/T11105","display_name":"Advanced Image Processing 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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994999766349792,"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/pixel","display_name":"Pixel","score":0.8230319023132324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6413361430168152},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6209807991981506},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6125690937042236},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6075339913368225},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5745572447776794},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.47965601086616516},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4705275297164917},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4609440267086029},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36170023679733276}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.8230319023132324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6413361430168152},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6209807991981506},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6125690937042236},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6075339913368225},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5745572447776794},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.47965601086616516},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4705275297164917},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4609440267086029},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36170023679733276},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sips.2015.7345011","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sips.2015.7345011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Workshop on Signal Processing Systems (SiPS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1866413402","https://openalex.org/W1933386811","https://openalex.org/W1946620893","https://openalex.org/W2062747674","https://openalex.org/W2096854583","https://openalex.org/W2104266187","https://openalex.org/W2119667497","https://openalex.org/W2121058967","https://openalex.org/W2121830132","https://openalex.org/W2127125674","https://openalex.org/W2138500679","https://openalex.org/W2169899245"],"related_works":["https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W4390494008","https://openalex.org/W2922442631","https://openalex.org/W2053596378","https://openalex.org/W2168523118","https://openalex.org/W2073639911","https://openalex.org/W2043988397"],"abstract_inverted_index":{"We":[0],"propose":[1,43],"an":[2,44,55],"algorithm":[3,60],"that":[4,22,47,136],"enhances":[5],"the":[6,23,29,58,62,66,86,93,114,125,137],"pixel":[7],"number":[8,24,30],"in":[9,54,123],"high-speed":[10,15],"camera":[11],"image":[12,64,104,146],"acquisition.":[13],"In":[14,70],"cameras,":[16],"there":[17],"is":[18,109],"a":[19,100,119,141],"principle":[20],"problem":[21],"of":[25,31,52,96],"pixels":[26,53],"reduces":[27],"when":[28],"frames":[32],"per":[33],"second":[34],"(FPS)":[35],"increases.":[36],"To":[37],"suppress":[38],"this":[39,71,107],"problem,":[40],"we":[41,73,98,111],"first":[42],"optical":[45],"setup":[46],"randomly":[48],"selects":[49],"some":[50],"percent":[51],"image.":[56],"Then,":[57],"proposed":[59,138],"reconstructs":[61],"entire":[63],"from":[65,85],"selected":[67],"partial":[68],"pixels.":[69],"algorithm,":[72],"exploit":[74],"not":[75],"only":[76],"sparsity":[77,83,149],"within":[78],"each":[79],"frame":[80],"but":[81],"also":[82],"induced":[84],"similarity":[87],"between":[88],"adjacent":[89],"frames.":[90],"Based":[91],"on":[92],"two":[94],"types":[95],"sparsity,":[97],"define":[99],"cost":[101],"function":[102,108],"for":[103,144],"reconstruction.":[105],"Since":[106],"convex,":[110],"can":[112],"find":[113],"optimal":[115],"solution":[116],"by":[117],"using":[118],"convex":[120],"optimization":[121],"technique,":[122],"particular":[124],"Douglas-Rachford":[126],"Splitting":[127],"method,":[128],"with":[129,148],"small":[130],"computational":[131],"cost.":[132],"Simulation":[133],"results":[134],"show":[135],"method":[139,143],"outperforms":[140],"conventional":[142],"sequential":[145],"reconstruction":[147],"prior.":[150]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
