{"id":"https://openalex.org/W2056256277","doi":"https://doi.org/10.1109/icassp.2014.6853944","title":"Frequency selective extrapolation with residual filtering for image error concealment","display_name":"Frequency selective extrapolation with residual filtering for image error concealment","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2056256277","doi":"https://doi.org/10.1109/icassp.2014.6853944","mag":"2056256277"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6853944","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6853944","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2205.07476","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081911913","display_name":"J\u00e1n Koloda","orcid":"https://orcid.org/0000-0001-5053-4615"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jan Koloda","raw_affiliation_strings":["Dpt. of Signal Theory, Networking and Communications, Universidad de Granada, Spain","Dept. of Signal Theor., Networking & Commun., Univ. de Granada, Granada, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dpt. of Signal Theory, Networking and Communications, Universidad de Granada, Spain","institution_ids":["https://openalex.org/I173304897"]},{"raw_affiliation_string":"Dept. of Signal Theor., Networking & Commun., Univ. de Granada, Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"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":["Chair of Multimedia Communications and Signal Processing, University of Erlangen-Nuremberg, Germany","Dept. of Multimedia Commun. & Signal Process., Univ. of Erlangen-Nuremberg, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair of Multimedia Communications and Signal Processing, University of Erlangen-Nuremberg, 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":"middle","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":["Chair of Multimedia Communications and Signal Processing, University of Erlangen-Nuremberg, Germany","Dept. of Multimedia Commun. & Signal Process., Univ. of Erlangen-Nuremberg, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair of Multimedia Communications and Signal Processing, University of Erlangen-Nuremberg, 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":"middle","author":{"id":"https://openalex.org/A5028849516","display_name":"Victoria S\u00e1nchez","orcid":"https://orcid.org/0000-0003-1546-9728"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Victoria Sanchez","raw_affiliation_strings":["Dpt. of Signal Theory, Networking and Communications, Universidad de Granada, Spain","Dept. of Signal Theor., Networking & Commun., Univ. de Granada, Granada, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dpt. of Signal Theory, Networking and Communications, Universidad de Granada, Spain","institution_ids":["https://openalex.org/I173304897"]},{"raw_affiliation_string":"Dept. of Signal Theor., Networking & Commun., Univ. de Granada, Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078514616","display_name":"Antonio M. Peinado","orcid":"https://orcid.org/0000-0001-8214-6676"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Antonio M. Peinado","raw_affiliation_strings":["Dpt. of Signal Theory, Networking and Communications, Universidad de Granada, Spain","Dept. of Signal Theor., Networking & Commun., Univ. de Granada, Granada, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dpt. of Signal Theory, Networking and Communications, Universidad de Granada, Spain","institution_ids":["https://openalex.org/I173304897"]},{"raw_affiliation_string":"Dept. of Signal Theor., Networking & Commun., Univ. de Granada, Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4721,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.91514174,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1976","last_page":"1980"},"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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/extrapolation","display_name":"Extrapolation","score":0.920400857925415},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7375689148902893},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.736091136932373},{"id":"https://openalex.org/keywords/underdetermined-system","display_name":"Underdetermined system","score":0.6977953910827637},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.631205677986145},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.608696699142456},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5589425563812256},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.5235193371772766},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4843981862068176},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.45104077458381653},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43904659152030945},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4225490689277649},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21149730682373047},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14090090990066528}],"concepts":[{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.920400857925415},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7375689148902893},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.736091136932373},{"id":"https://openalex.org/C179690561","wikidata":"https://www.wikidata.org/wiki/Q4316110","display_name":"Underdetermined system","level":2,"score":0.6977953910827637},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.631205677986145},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.608696699142456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5589425563812256},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5235193371772766},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4843981862068176},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.45104077458381653},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43904659152030945},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4225490689277649},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21149730682373047},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14090090990066528},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2014.6853944","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6853944","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2205.07476","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2205.07476","pdf_url":"https://arxiv.org/pdf/2205.07476","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:2205.07476","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2205.07476","pdf_url":"https://arxiv.org/pdf/2205.07476","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":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1994168016","https://openalex.org/W2041412547","https://openalex.org/W2098400661","https://openalex.org/W2126633727","https://openalex.org/W2140619862","https://openalex.org/W2150620152","https://openalex.org/W2159433685","https://openalex.org/W6674626757"],"related_works":["https://openalex.org/W2757389719","https://openalex.org/W2951714568","https://openalex.org/W1963814553","https://openalex.org/W2037595954","https://openalex.org/W1988158806","https://openalex.org/W2507293823","https://openalex.org/W2386146599","https://openalex.org/W2018015402","https://openalex.org/W2144778520","https://openalex.org/W2801815023"],"abstract_inverted_index":{"The":[0],"purpose":[1],"of":[2,83],"signal":[3,9,41],"extrapolation":[4,55],"is":[5,16],"to":[6,35,44],"estimate":[7],"unknown":[8],"parts":[10],"from":[11],"known":[12],"samples.":[13],"This":[14],"task":[15],"especially":[17],"important":[18],"for":[19,101],"error":[20],"concealment":[21],"in":[22,42,69],"image":[23,63],"and":[24],"video":[25],"communication.":[26],"For":[27],"obtaining":[28],"a":[29,91],"high":[30,58],"quality":[31],"reconstruction,":[32],"assumptions":[33],"have":[34],"be":[36,66],"made":[37],"about":[38],"the":[39,70,80,102],"underlying":[40],"order":[43],"solve":[45],"this":[46,87,96],"underdetermined":[47],"problem.":[48],"Among":[49],"existent":[50],"reconstruction":[51],"algorithms,":[52],"frequency":[53,71],"selective":[54],"(FSE)":[56],"achieves":[57],"performance":[59],"by":[60],"assuming":[61],"that":[62,94],"signals":[64],"can":[65],"sparsely":[67],"represented":[68],"domain.":[72],"However,":[73],"FSE":[74,93],"does":[75],"not":[76],"take":[77],"into":[78,99],"account":[79,100],"low-pass":[81],"behaviour":[82],"natural":[84],"images.":[85],"In":[86],"paper,":[88],"we":[89],"propose":[90],"modified":[92],"takes":[95],"prior":[97],"knowledge":[98],"modelling,":[103],"yielding":[104],"significant":[105],"PSNR":[106],"gains.":[107]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}