{"id":"https://openalex.org/W2126633727","doi":"https://doi.org/10.1109/lsp.2010.2078504","title":"Complex-Valued Frequency Selective Extrapolation for Fast Image and Video Signal Extrapolation","display_name":"Complex-Valued Frequency Selective Extrapolation for Fast Image and Video Signal Extrapolation","publication_year":2010,"publication_date":"2010-09-29","ids":{"openalex":"https://openalex.org/W2126633727","doi":"https://doi.org/10.1109/lsp.2010.2078504","mag":"2126633727"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2010.2078504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2010.2078504","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":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2204.14193","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034495569","display_name":"J\u00fcrgen Seiler","orcid":"https://orcid.org/0000-0001-5295-893X"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"J Seiler","raw_affiliation_strings":["Multimedia Communications and Signal Processing, University of Erlangen Nuremberg, Erlangen, Germany","Dept. of Multimedia Commun. & Signal Process., Univ. of Erlangen-Nuremberg, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia Communications and Signal Processing, University of Erlangen Nuremberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]},{"raw_affiliation_string":"Dept. of Multimedia Commun. & Signal Process., Univ. of Erlangen-Nuremberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062850220","display_name":"Andr\u00e9 Kaup","orcid":"https://orcid.org/0000-0002-0929-5074"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"A Kaup","raw_affiliation_strings":["Multimedia Communications and Signal Processing, University of Erlangen Nuremberg, Erlangen, Germany","Dept. of Multimedia Commun. & Signal Process., Univ. of Erlangen-Nuremberg, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia Communications and Signal Processing, University of Erlangen Nuremberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]},{"raw_affiliation_string":"Dept. of Multimedia Commun. & Signal Process., Univ. of Erlangen-Nuremberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.9062,"has_fulltext":false,"cited_by_count":54,"citation_normalized_percentile":{"value":0.91923981,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"17","issue":"11","first_page":"949","last_page":"952"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","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/T10688","display_name":"Image and Signal Denoising Methods","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":0.9991999864578247,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9987999796867371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/extrapolation","display_name":"Extrapolation","score":0.9522567391395569},{"id":"https://openalex.org/keywords/superposition-principle","display_name":"Superposition principle","score":0.6907640695571899},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6103788614273071},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5575225353240967},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5416103601455688},{"id":"https://openalex.org/keywords/multidimensional-signal-processing","display_name":"Multidimensional signal processing","score":0.5129892230033875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4731161296367645},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4715445339679718},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.44058090448379517},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4351580739021301},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3271302580833435},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3248462677001953},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.16992565989494324},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11858707666397095}],"concepts":[{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.9522567391395569},{"id":"https://openalex.org/C27753989","wikidata":"https://www.wikidata.org/wiki/Q284885","display_name":"Superposition principle","level":2,"score":0.6907640695571899},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6103788614273071},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5575225353240967},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5416103601455688},{"id":"https://openalex.org/C501101116","wikidata":"https://www.wikidata.org/wiki/Q18378116","display_name":"Multidimensional signal processing","level":4,"score":0.5129892230033875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4731161296367645},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4715445339679718},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.44058090448379517},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4351580739021301},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3271302580833435},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3248462677001953},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.16992565989494324},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11858707666397095},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lsp.2010.2078504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2010.2078504","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"},{"id":"pmh:oai:arXiv.org:2204.14193","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2204.14193","pdf_url":"https://arxiv.org/pdf/2204.14193","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2204.14193","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2204.14193","pdf_url":"https://arxiv.org/pdf/2204.14193","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1994168016","https://openalex.org/W2041412547","https://openalex.org/W2061171222","https://openalex.org/W2105464873","https://openalex.org/W2116148865","https://openalex.org/W2157057651","https://openalex.org/W2157478114","https://openalex.org/W2158962363","https://openalex.org/W2166174824","https://openalex.org/W2171011251","https://openalex.org/W2295936755","https://openalex.org/W2544719226"],"related_works":["https://openalex.org/W4362661884","https://openalex.org/W2467620780","https://openalex.org/W3164127805","https://openalex.org/W2166635617","https://openalex.org/W3151836631","https://openalex.org/W1966320733","https://openalex.org/W1979788783","https://openalex.org/W1506275581","https://openalex.org/W2001939451","https://openalex.org/W4200622203"],"abstract_inverted_index":{"Signal":[0],"extrapolation":[1],"tasks":[2],"arise":[3],"in":[4,7,37],"miscellaneous":[5],"manners":[6],"the":[8,19,27,46,53,74,99,107,111,117,121,124,130,137,140],"field":[9],"of":[10,22,30,48,73,82,110,139],"image":[11,60],"and":[12,24,61],"video":[13,62],"signal":[14,63,75],"processing.":[15],"But,":[16],"due":[17],"to":[18,76,94,136],"widespread":[20],"use":[21],"low-power":[23],"mobile":[25],"devices,":[26],"computational":[28],"complexity":[29],"an":[31,39],"algorithm":[32,40,66,91],"plays":[33],"a":[34,42,69],"crucial":[35],"role":[36],"selecting":[38],"for":[41,58],"given":[43],"problem.":[44],"Within":[45],"scope":[47],"this":[49,90],"contribution,":[50],"we":[51],"introduce":[52],"complex-valued":[54,71,131],"Frequency":[55,102],"Selective":[56,103],"Extrapolation":[57,104],"fast":[59],"extrapolation.":[64],"This":[65],"iteratively":[67],"generates":[68],"generic":[70],"model":[72,118,132,142],"be":[77],"extrapolated":[78],"as":[79],"weighted":[80],"superposition":[81],"Fourier":[83],"basis":[84],"functions.":[85],"We":[86],"further":[87],"show":[88],"that":[89,105],"is":[92,127,134],"up":[93],"10":[95],"times":[96],"faster":[97],"than":[98],"existent":[100],"real-valued":[101,108,141],"takes":[106],"nature":[109],"input":[112],"signals":[113],"into":[114],"account":[115],"during":[116],"generation.":[119,143],"At":[120],"same":[122],"time,":[123],"quality":[125,138],"which":[126],"achievable":[128],"by":[129],"generation":[133],"similar":[135]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":10},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
