{"id":"https://openalex.org/W2165015371","doi":"https://doi.org/10.1109/icassp.2004.1326518","title":"Spatial error concealment of corrupted image data using frequency selective extrapolation","display_name":"Spatial error concealment of corrupted image data using frequency selective extrapolation","publication_year":2004,"publication_date":"2004-09-28","ids":{"openalex":"https://openalex.org/W2165015371","doi":"https://doi.org/10.1109/icassp.2004.1326518","mag":"2165015371"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2004.1326518","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2004.1326518","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Acoustics, Speech, and Signal Processing","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/A5016939365","display_name":"Katrin Meisinger","orcid":null},"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":"K. Meisinger","raw_affiliation_strings":["Multimedia Communications and Signal Processing, University of Erlangen Nuremberg, Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"Multimedia Communications and Signal Processing, University 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"],"affiliations":[{"raw_affiliation_string":"Multimedia Communications and Signal Processing, University of Erlangen Nuremberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5016939365"],"corresponding_institution_ids":["https://openalex.org/I181369854"],"apc_list":null,"apc_paid":null,"fwci":2.7587,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.91244066,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"3","issue":null,"first_page":"iii","last_page":"209"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9995999932289124,"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":0.9995999932289124,"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"}},{"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"}}],"keywords":[{"id":"https://openalex.org/keywords/extrapolation","display_name":"Extrapolation","score":0.9273815155029297},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6387915015220642},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6269505023956299},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.5977241396903992},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5726298689842224},{"id":"https://openalex.org/keywords/basis-function","display_name":"Basis function","score":0.5408989787101746},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.5121500492095947},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.4974534809589386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48792025446891785},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.48188525438308716},{"id":"https://openalex.org/keywords/realization","display_name":"Realization (probability)","score":0.45080843567848206},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4415897727012634},{"id":"https://openalex.org/keywords/monotone-polygon","display_name":"Monotone polygon","score":0.41009053587913513},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4054846167564392},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3575609624385834},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3400745689868927},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1568523645401001},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10242623090744019}],"concepts":[{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.9273815155029297},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6387915015220642},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6269505023956299},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.5977241396903992},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5726298689842224},{"id":"https://openalex.org/C5917680","wikidata":"https://www.wikidata.org/wiki/Q2621825","display_name":"Basis function","level":2,"score":0.5408989787101746},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.5121500492095947},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.4974534809589386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48792025446891785},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.48188525438308716},{"id":"https://openalex.org/C2781089630","wikidata":"https://www.wikidata.org/wiki/Q21856745","display_name":"Realization (probability)","level":2,"score":0.45080843567848206},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4415897727012634},{"id":"https://openalex.org/C2834757","wikidata":"https://www.wikidata.org/wiki/Q4925424","display_name":"Monotone polygon","level":2,"score":0.41009053587913513},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4054846167564392},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3575609624385834},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3400745689868927},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1568523645401001},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10242623090744019},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp.2004.1326518","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2004.1326518","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.151.345","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.151.345","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.nt.e-technik.uni-erlangen.de/lms/publications/web/lnt2004_8.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.6.2717","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.6.2717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.nt.e-technik.uni-erlangen.de/LNT_I/publications/web/lnt2004_8.ps.gz","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W147388262","https://openalex.org/W2030723572","https://openalex.org/W2108425343","https://openalex.org/W2109263915","https://openalex.org/W2128910219","https://openalex.org/W2150692527","https://openalex.org/W2167370143"],"related_works":["https://openalex.org/W1968270095","https://openalex.org/W2220129715","https://openalex.org/W4296478327","https://openalex.org/W2042397106","https://openalex.org/W4361730764","https://openalex.org/W1965029248","https://openalex.org/W2333625343","https://openalex.org/W1960072520","https://openalex.org/W2023776155","https://openalex.org/W2387596242"],"abstract_inverted_index":{"The":[0,17],"paper":[1],"introduces":[2],"a":[3,30],"method":[4],"for":[5,65],"spatial":[6],"error":[7],"concealment":[8],"of":[9,20,34],"lost":[10],"image":[11,15,18],"data":[12],"in":[13,47,68],"erroneous":[14],"transmission.":[16],"content":[19],"the":[21,38,48],"correctly":[22],"received":[23],"surrounding":[24],"blocks":[25],"is":[26,41],"successively":[27],"approximated":[28],"by":[29,43],"weighted":[31],"linear":[32],"combination":[33],"basis":[35,61],"functions":[36,62],"and":[37,78],"missing":[39],"block":[40],"obtained":[42],"extrapolation.":[44],"An":[45],"implementation":[46],"frequency":[49],"domain":[50],"allows":[51],"an":[52],"efficient":[53],"realization.":[54],"Investigations":[55],"show":[56],"that":[57],"particularly":[58],"2D":[59],"DFT":[60],"are":[63],"suited":[64],"signal":[66],"extrapolation":[67],"order":[69],"to":[70,73],"be":[71],"able":[72],"reconstruct":[74],"both":[75],"monotone":[76],"areas":[77],"edges.":[79]},"counts_by_year":[{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
