{"id":"https://openalex.org/W2116386571","doi":"https://doi.org/10.1109/icassp.2011.5946639","title":"Sparsity-based defect pixel compensation for arbitrary camera raw images","display_name":"Sparsity-based defect pixel compensation for arbitrary camera raw images","publication_year":2011,"publication_date":"2011-05-01","ids":{"openalex":"https://openalex.org/W2116386571","doi":"https://doi.org/10.1109/icassp.2011.5946639","mag":"2116386571"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2011.5946639","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5946639","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5058773935","display_name":"Michael Sch\u00f6berl","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":false,"raw_author_name":"Michael Schoberl","raw_affiliation_strings":["Multimedia Communications and Signal Processing, University of Erlangen-Nuremberg, Cauerstr. 7, 91058, Germany","Multimedia Communications and Signal Processing*, University of Erlangen-Nuremberg, Cauerstr. 7, 91058, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia Communications and Signal Processing, University of Erlangen-Nuremberg, Cauerstr. 7, 91058, Germany","institution_ids":["https://openalex.org/I181369854"]},{"raw_affiliation_string":"Multimedia Communications and Signal Processing*, University of Erlangen-Nuremberg, Cauerstr. 7, 91058, 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, University of Erlangen-Nuremberg, Cauerstr. 7, 91058, Germany","Multimedia Communications and Signal Processing*, University of Erlangen-Nuremberg, Cauerstr. 7, 91058, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia Communications and Signal Processing, University of Erlangen-Nuremberg, Cauerstr. 7, 91058, Germany","institution_ids":["https://openalex.org/I181369854"]},{"raw_affiliation_string":"Multimedia Communications and Signal Processing*, University of Erlangen-Nuremberg, Cauerstr. 7, 91058, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028481758","display_name":"Bernhard Kasper","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124274","display_name":"Fraunhofer Institute for Integrated Circuits","ror":"https://ror.org/024ape423","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210124274","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bernhard Kasper","raw_affiliation_strings":["Fraunhofer IIS, Am Wolfsmantel 33, 91058 Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer IIS, Am Wolfsmantel 33, 91058 Erlangen, Germany","institution_ids":["https://openalex.org/I4210124274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024595260","display_name":"Siegfried F\u00f6essel","orcid":"https://orcid.org/0000-0001-9732-8237"},"institutions":[{"id":"https://openalex.org/I4210124274","display_name":"Fraunhofer Institute for Integrated Circuits","ror":"https://ror.org/024ape423","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210124274","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Siegfried Foessel","raw_affiliation_strings":["Fraunhofer IIS, Am Wolfsmantel 33, 91058 Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer IIS, Am Wolfsmantel 33, 91058 Erlangen, Germany","institution_ids":["https://openalex.org/I4210124274"]}]},{"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, University of Erlangen-Nuremberg, Cauerstr. 7, 91058, Germany","Multimedia Communications and Signal Processing*, University of Erlangen-Nuremberg, Cauerstr. 7, 91058, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia Communications and Signal Processing, University of Erlangen-Nuremberg, Cauerstr. 7, 91058, Germany","institution_ids":["https://openalex.org/I181369854"]},{"raw_affiliation_string":"Multimedia Communications and Signal Processing*, University of Erlangen-Nuremberg, Cauerstr. 7, 91058, Germany","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5406,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.72001773,"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":"1257","last_page":"1260"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9986000061035156,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7933419942855835},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7792218923568726},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7381250858306885},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7307357788085938},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.5980944037437439},{"id":"https://openalex.org/keywords/demosaicing","display_name":"Demosaicing","score":0.5843691229820251},{"id":"https://openalex.org/keywords/bayer-filter","display_name":"Bayer filter","score":0.5548782348632812},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5527066588401794},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.4640917181968689},{"id":"https://openalex.org/keywords/image-sensor","display_name":"Image sensor","score":0.46373286843299866},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.45192405581474304},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43997034430503845},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.37441691756248474},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.25835031270980835}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7933419942855835},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7792218923568726},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7381250858306885},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7307357788085938},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.5980944037437439},{"id":"https://openalex.org/C27624317","wikidata":"https://www.wikidata.org/wiki/Q263499","display_name":"Demosaicing","level":5,"score":0.5843691229820251},{"id":"https://openalex.org/C5622133","wikidata":"https://www.wikidata.org/wiki/Q812133","display_name":"Bayer filter","level":5,"score":0.5548782348632812},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5527066588401794},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.4640917181968689},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.46373286843299866},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.45192405581474304},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43997034430503845},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.37441691756248474},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.25835031270980835},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2011.5946639","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5946639","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:publica.fraunhofer.de:publica/371996","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/371996","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"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":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W96697480","https://openalex.org/W127924213","https://openalex.org/W1979830618","https://openalex.org/W2030799437","https://openalex.org/W2031457674","https://openalex.org/W2048675702","https://openalex.org/W2084139260","https://openalex.org/W2126633727","https://openalex.org/W2140367543","https://openalex.org/W2164734076","https://openalex.org/W2257302554","https://openalex.org/W2262320392","https://openalex.org/W6645145083","https://openalex.org/W6662529751","https://openalex.org/W6680379858"],"related_works":["https://openalex.org/W4390872244","https://openalex.org/W4385003273","https://openalex.org/W2336730277","https://openalex.org/W2243107955","https://openalex.org/W2106308125","https://openalex.org/W1574099457","https://openalex.org/W2171192752","https://openalex.org/W2197110145","https://openalex.org/W2320161696","https://openalex.org/W2807301514"],"abstract_inverted_index":{"In":[0,50],"high":[1,129],"quality":[2,23,130],"imaging":[3],"even":[4],"tiny":[5],"distortions":[6],"as":[7,9],"small":[8],"a":[10,65],"single":[11],"pixel":[12],"are":[13],"visible":[14],"and":[15,42,86],"can":[16,96,121],"not":[17,87],"be":[18,98,123],"accepted.":[19],"Although":[20],"the":[21,70,126],"production":[22],"of":[24,44,119,128],"CMOS":[25],"image":[26,48,60,114],"sensors":[27,115],"is":[28,84],"very":[29],"high,":[30],"for":[31,58,125],"reasonable":[32],"yields":[33],"we":[34,53],"still":[35,122],"need":[36],"to":[37,91,100],"accept":[38],"some":[39],"defect":[40,76],"pixels":[41],"clusters":[43,118],"defects":[45,120],"in":[46],"large":[47,117],"sensors.":[49],"this":[51],"paper":[52],"will":[54],"compare":[55],"compensation":[56,77],"algorithms":[57],"raw":[59],"sensor":[61],"data.":[62],"We":[63],"propose":[64],"new":[66],"approach":[67],"based":[68],"on":[69],"sparsity":[71],"assumption":[72],"that":[73,113],"outperforms":[74],"existing":[75],"algorithms.":[78],"Furthermore,":[79],"our":[80],"proposed":[81],"interpolation":[82],"algorithm":[83],"universal":[85],"at":[88],"all":[89],"adapted":[90],"Bayer":[92],"pattern":[93,105],"images.":[94,131],"It":[95],"directly":[97],"applied":[99],"any":[101],"regular":[102],"color":[103],"filter":[104],"or":[106],"gray":[107],"scale":[108],"image.":[109],"Our":[110],"examples":[111],"show,":[112],"with":[116],"used":[124],"generation":[127]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}