{"id":"https://openalex.org/W2755288313","doi":"https://doi.org/10.1109/icip.2017.8296649","title":"Scaled fixed-point frequency selective extrapolation for fast image error concealment","display_name":"Scaled fixed-point frequency selective extrapolation for fast image error concealment","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2755288313","doi":"https://doi.org/10.1109/icip.2017.8296649","mag":"2755288313"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2017.8296649","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296649","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","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":false,"raw_author_name":"Nils Genser","raw_affiliation_strings":["Multimedia Communications and Signal Processing, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00e9mberg (FAU), Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia Communications and Signal Processing, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00e9mberg (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, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00e9mberg (FAU), Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia Communications and Signal Processing, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00e9mberg (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, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00e9mberg (FAU), Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia Communications and Signal Processing, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00e9mberg (FAU), Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.12731552,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"1 of 2","issue":null,"first_page":"2084","last_page":"2088"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9993000030517578,"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":0.9632357358932495},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6994984149932861},{"id":"https://openalex.org/keywords/fixed-point-arithmetic","display_name":"Fixed-point arithmetic","score":0.6012794375419617},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5953137874603271},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5376039743423462},{"id":"https://openalex.org/keywords/realization","display_name":"Realization (probability)","score":0.5051706433296204},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.484809547662735},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47666504979133606},{"id":"https://openalex.org/keywords/fixed-point","display_name":"Fixed point","score":0.43018826842308044},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.41156139969825745},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35723942518234253},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34855830669403076},{"id":"https://openalex.org/keywords/floating-point","display_name":"Floating point","score":0.269609272480011},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20532655715942383},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08112803101539612}],"concepts":[{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.9632357358932495},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6994984149932861},{"id":"https://openalex.org/C163973906","wikidata":"https://www.wikidata.org/wiki/Q649900","display_name":"Fixed-point arithmetic","level":3,"score":0.6012794375419617},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5953137874603271},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5376039743423462},{"id":"https://openalex.org/C2781089630","wikidata":"https://www.wikidata.org/wiki/Q21856745","display_name":"Realization (probability)","level":2,"score":0.5051706433296204},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.484809547662735},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47666504979133606},{"id":"https://openalex.org/C61445026","wikidata":"https://www.wikidata.org/wiki/Q217608","display_name":"Fixed point","level":2,"score":0.43018826842308044},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.41156139969825745},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35723942518234253},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34855830669403076},{"id":"https://openalex.org/C84211073","wikidata":"https://www.wikidata.org/wiki/Q117879","display_name":"Floating point","level":2,"score":0.269609272480011},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20532655715942383},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08112803101539612},{"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/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/icip.2017.8296649","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296649","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6700000166893005,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1591070193","https://openalex.org/W1994168016","https://openalex.org/W2009295221","https://openalex.org/W2041412547","https://openalex.org/W2105464873","https://openalex.org/W2126633727","https://openalex.org/W2134978206","https://openalex.org/W2158962363","https://openalex.org/W2166174824","https://openalex.org/W2286454943","https://openalex.org/W2342852538","https://openalex.org/W2507536062","https://openalex.org/W2558890575","https://openalex.org/W2610301479","https://openalex.org/W6696118455"],"related_works":["https://openalex.org/W2028547611","https://openalex.org/W2724204407","https://openalex.org/W2755288313","https://openalex.org/W2370541471","https://openalex.org/W1519370980","https://openalex.org/W1984271182","https://openalex.org/W2001930439","https://openalex.org/W196452725","https://openalex.org/W2139742613","https://openalex.org/W4206223617"],"abstract_inverted_index":{"Image":[0],"and":[1,97],"video":[2],"signal":[3],"processing":[4],"demands":[5],"in":[6],"many":[7],"areas":[8],"for":[9,32],"error":[10,35],"concealment":[11],"algorithms,":[12],"whereby":[13],"the":[14,26,42,59,80,84,107,115],"execution":[15,87],"time":[16,88],"plays":[17],"an":[18,63],"important":[19],"role.":[20],"Within":[21],"this":[22],"paper,":[23],"we":[24],"introduce":[25],"scaled":[27,74],"fixed-point":[28,56,126],"Frequency":[29,44,75,111],"Selective":[30,45,76,112],"Extrapolation":[31,77,113],"fast":[33],"image":[34],"concealment.":[36],"This":[37],"algorithm":[38,61],"is":[39,52],"based":[40],"on":[41,92],"complex-valued":[43],"Extrapolation,":[46],"but":[47],"reduces":[48,79],"computational":[49],"complexity.":[50],"It":[51],"shown":[53],"that":[54,78],"a":[55,72],"realization":[57],"of":[58],"state-of-the-art":[60,108],"requires":[62],"impracticable":[64],"word-length,":[65],"which":[66,124],"makes":[67],"it":[68],"necessary":[69],"to":[70,102,106],"design":[71],"novel,":[73],"required":[81],"word-length.":[82],"Regarding":[83],"new":[85],"approach,":[86],"can":[89,121],"be":[90,122],"reduced":[91],"average":[93],"by":[94,100],"22.84":[95],"%":[96,104],"at":[98,114],"best":[99],"up":[101],"40.45":[103],"compared":[105],"floating":[109],"point":[110],"same":[116],"reconstruction":[117],"quality.":[118],"Moreover,":[119],"platforms":[120],"exploited,":[123],"support":[125],"arithmetic":[127],"only.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
