{"id":"https://openalex.org/W2885516825","doi":"https://doi.org/10.1109/iwssip.2018.8439150","title":"Spectral Constrained Frequency Selective Extrapolation for Rapid Image Error Concealment","display_name":"Spectral Constrained Frequency Selective Extrapolation for Rapid Image Error Concealment","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2885516825","doi":"https://doi.org/10.1109/iwssip.2018.8439150","mag":"2885516825"},"language":"en","primary_location":{"id":"doi:10.1109/iwssip.2018.8439150","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwssip.2018.8439150","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th International Conference on Systems, Signals and Image Processing (IWSSIP)","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/A5052676758","display_name":"Nils Genser","orcid":"https://orcid.org/0000-0002-8564-2541"},"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":true,"raw_author_name":"Nils Genser","raw_affiliation_strings":["Multimedia Communications and Signal Processing, Fricdrich-Alcxandcr-Univcrsitat Erlangen-Ntirnberg (FAU), Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"Multimedia Communications and Signal Processing, Fricdrich-Alcxandcr-Univcrsitat Erlangen-Ntirnberg (FAU), Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","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":"Jurgen Seiler","raw_affiliation_strings":["Multimedia Communications and Signal Processing, Fricdrich-Alcxandcr-Univcrsitat Erlangen-Ntirnberg (FAU), Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"Multimedia Communications and Signal Processing, Fricdrich-Alcxandcr-Univcrsitat Erlangen-Ntirnberg (FAU), 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":"Andre Kaup","raw_affiliation_strings":["Multimedia Communications and Signal Processing, Fricdrich-Alcxandcr-Univcrsitat Erlangen-Ntirnberg (FAU), Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"Multimedia Communications and Signal Processing, Fricdrich-Alcxandcr-Univcrsitat Erlangen-Ntirnberg (FAU), Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5052676758"],"corresponding_institution_ids":["https://openalex.org/I181369854"],"apc_list":null,"apc_paid":null,"fwci":0.4178,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.66687365,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9998000264167786,"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/T10531","display_name":"Advanced Vision and Imaging","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"}}],"keywords":[{"id":"https://openalex.org/keywords/extrapolation","display_name":"Extrapolation","score":0.8988235592842102},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6661405563354492},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.6439710855484009},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6263636350631714},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.6013429760932922},{"id":"https://openalex.org/keywords/basis-function","display_name":"Basis function","score":0.5066872239112854},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4920329749584198},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.48407092690467834},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.45703235268592834},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4286058843135834},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34555718302726746},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25870150327682495},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.12795153260231018}],"concepts":[{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.8988235592842102},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6661405563354492},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.6439710855484009},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6263636350631714},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.6013429760932922},{"id":"https://openalex.org/C5917680","wikidata":"https://www.wikidata.org/wiki/Q2621825","display_name":"Basis function","level":2,"score":0.5066872239112854},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4920329749584198},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.48407092690467834},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.45703235268592834},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4286058843135834},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34555718302726746},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25870150327682495},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.12795153260231018},{"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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwssip.2018.8439150","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwssip.2018.8439150","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th International Conference on Systems, Signals and Image Processing (IWSSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5899999737739563,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1551796223","https://openalex.org/W1994168016","https://openalex.org/W2041412547","https://openalex.org/W2102182691","https://openalex.org/W2105464873","https://openalex.org/W2126633727","https://openalex.org/W2145534432","https://openalex.org/W2166174824","https://openalex.org/W2286454943","https://openalex.org/W2507536062","https://openalex.org/W2597080166","https://openalex.org/W6696118455"],"related_works":["https://openalex.org/W1968270095","https://openalex.org/W4296478327","https://openalex.org/W1960072520","https://openalex.org/W2042397106","https://openalex.org/W4361730764","https://openalex.org/W1965029248","https://openalex.org/W2220129715","https://openalex.org/W2387596242","https://openalex.org/W2333625343","https://openalex.org/W2074627651"],"abstract_inverted_index":{"High":[0],"quality":[1],"error":[2],"concealment":[3],"plays":[4],"a":[5,18,35,84,103,118],"crucial":[6],"role":[7],"in":[8,54],"image":[9],"and":[10,72,107],"video":[11],"processing.":[12],"In":[13,32],"general,":[14],"those":[15],"algorithms":[16],"introduce":[17],"high":[19],"computational":[20,70],"load":[21],"as":[22],"they":[23],"calculate":[24],"complex":[25],"models":[26],"to":[27,68,73,90,101,123,129],"estimate":[28],"the":[29,33,42,59,63,75,130,134],"missing":[30],"samples.":[31],"following,":[34],"highspeed":[36],"algorithm":[37],"is":[38,126,137],"introduced,":[39],"which":[40],"succeeds":[41],"state-of-the-art":[43,131],"Frequency":[44],"Selective":[45],"Extrapolation.":[46],"Therefore,":[47],"two":[48],"novel":[49],"spectral":[50,81],"constraints":[51,115],"are":[52,99],"introduced":[53],"this":[55],"paper.":[56],"Firstly,":[57],"processing":[58],"DC":[60],"part":[61],"of":[62,86,96,121],"distorted":[64],"spectrum":[65,106],"separately":[66],"allows":[67],"decrease":[69],"complexity":[71],"increase":[74],"reconstruction":[76],"quality.":[77],"Secondly,":[78],"by":[79],"exploiting":[80],"properties,":[82],"only":[83],"subset":[85],"basis":[87,97],"functions":[88,98],"has":[89],"be":[91],"processed.":[92],"Moreover,":[93],"complex-conjugated":[94],"pairs":[95],"selected":[100],"generate":[102],"symmetric":[104],"Fourier":[105],"an":[108],"according":[109],"real-valued":[110],"output":[111],"signal.":[112],"Taking":[113],"these":[114],"into":[116],"account,":[117],"PSNR":[119],"gain":[120],"up":[122],"0.36":[124],"dB":[125],"achieved":[127],"compared":[128],"algorithm,":[132],"while":[133],"execution":[135],"speed":[136],"approximately":[138],"doubled.":[139]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
