{"id":"https://openalex.org/W2106064328","doi":"https://doi.org/10.1109/icip.2004.1419422","title":"Minimizing a weighted error criterion for spatial error concealment of missing image data","display_name":"Minimizing a weighted error criterion for spatial error concealment of missing image data","publication_year":2005,"publication_date":"2005-04-19","ids":{"openalex":"https://openalex.org/W2106064328","doi":"https://doi.org/10.1109/icip.2004.1419422","mag":"2106064328"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2004.1419422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2004.1419422","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 International Conference on Image Processing, 2004. ICIP '04.","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":["Chair of Multimedia Communications and Signal Processing, University of Erlangen Nuremberg, Erlangen, Germany","Chair of Multimedia Commun. & Signal Process., Erlangen-Nuremberg Univ., Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"Chair of Multimedia Communications and Signal Processing, University of Erlangen Nuremberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]},{"raw_affiliation_string":"Chair of Multimedia Commun. & Signal Process., Erlangen-Nuremberg Univ., 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":["Chair of Multimedia Communications and Signal Processing, University of Erlangen Nuremberg, Erlangen, Germany","Chair of Multimedia Commun. & Signal Process., Erlangen-Nuremberg Univ., Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"Chair of Multimedia Communications and Signal Processing, University of Erlangen Nuremberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]},{"raw_affiliation_string":"Chair of Multimedia Commun. & Signal Process., Erlangen-Nuremberg Univ., 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":3.5815,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.93583525,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"813","last_page":"816"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6854754686355591},{"id":"https://openalex.org/keywords/extrapolation","display_name":"Extrapolation","score":0.6429663896560669},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6288993954658508},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6220143437385559},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5598595142364502},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5383625030517578},{"id":"https://openalex.org/keywords/basis-function","display_name":"Basis function","score":0.474761962890625},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.47450539469718933},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47385314106941223},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4667190909385681},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.43607577681541443},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38948461413383484},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3760427236557007},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17563718557357788}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6854754686355591},{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.6429663896560669},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6288993954658508},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6220143437385559},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5598595142364502},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5383625030517578},{"id":"https://openalex.org/C5917680","wikidata":"https://www.wikidata.org/wiki/Q2621825","display_name":"Basis function","level":2,"score":0.474761962890625},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.47450539469718933},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47385314106941223},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4667190909385681},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.43607577681541443},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38948461413383484},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3760427236557007},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17563718557357788},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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},{"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2004.1419422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2004.1419422","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 International Conference on Image Processing, 2004. ICIP '04.","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.142.463","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.142.463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.lnt.de/LMS/publications/web/lnt2004_14.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2108425343","https://openalex.org/W2109263915","https://openalex.org/W2128910219","https://openalex.org/W2150692527","https://openalex.org/W2165015371","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/W1960072520","https://openalex.org/W2023776155","https://openalex.org/W2387596242","https://openalex.org/W2333625343"],"abstract_inverted_index":{"In":[0],"this":[1],"contribution":[2],"we":[3,130],"present":[4],"an":[5,64,115],"algorithm":[6,120,138],"for":[7,68,96],"spatial":[8],"error":[9,21,58],"concealment":[10],"of":[11,18,37,118,136],"lost":[12],"image":[13,28,43],"data":[14,44],"caused":[15],"by":[16,32,47],"transmission":[17],"images":[19],"in":[20,100,121],"prone":[22],"environments.":[23],"The":[24],"surrounding":[25],"correctly":[26],"received":[27],"signal":[29,98],"is":[30,45,60],"approximated":[31],"a":[33,48,55],"weighted":[34,57],"linear":[35],"combination":[36],"basis":[38,91],"functions":[39,92],"and":[40,79,110,113],"the":[41,53,69,73,86,97,119,122,127,133,137,142],"missing":[42,87],"obtained":[46],"frequency":[49,123],"selective":[50],"extrapolation.":[51],"During":[52],"approximation":[54],"novel":[56],"criterion":[59],"minimized.":[61],"We":[62],"use":[63],"isotropic":[65],"correlation":[66,74],"model":[67],"weighting":[70,128],"function":[71,129],"taking":[72],"among":[75],"pixels":[76,81],"into":[77],"account":[78],"emphasizing":[80],"which":[82],"are":[83,93],"closer":[84],"to":[85,102,105,126],"area.":[88],"2D":[89],"DFT":[90],"especially":[94],"suited":[95],"extrapolation":[99],"order":[101],"be":[103],"able":[104],"reconstruct":[106],"monotone":[107],"areas,":[108],"edges":[109],"noisy":[111],"regions":[112],"allow":[114],"efficient":[116],"realization":[117],"domain.":[124],"Due":[125],"could":[131],"improve":[132],"concealing":[134],"performance":[135],"considerably":[139],"while":[140],"halving":[141],"required":[143],"FFT":[144],"size.":[145]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"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"}