{"id":"https://openalex.org/W1994351129","doi":"https://doi.org/10.1155/2007/89354","title":"A MAP Estimator for Simultaneous Superresolution and Detector Nonunifomity Correction","display_name":"A MAP Estimator for Simultaneous Superresolution and Detector Nonunifomity Correction","publication_year":2007,"publication_date":"2007-05-03","ids":{"openalex":"https://openalex.org/W1994351129","doi":"https://doi.org/10.1155/2007/89354","mag":"1994351129"},"language":"en","primary_location":{"id":"doi:10.1155/2007/89354","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2007/89354","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/2007/89354","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/2007/89354","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038646284","display_name":"Russell C. Hardie","orcid":"https://orcid.org/0000-0002-1216-3865"},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Russell C. Hardie","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Dayton, 300 College Park, Dayton, OH, 45469-0226, USA","Department of Electrical and Computer Engineering, University of Dayton, Dayton, OH#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Dayton, 300 College Park, Dayton, OH, 45469-0226, USA","institution_ids":["https://openalex.org/I127591826"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Dayton, Dayton, OH#TAB#","institution_ids":["https://openalex.org/I127591826"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076835395","display_name":"Douglas R. Droege","orcid":null},"institutions":[{"id":"https://openalex.org/I55279860","display_name":"L-3 Communications (United States)","ror":"https://ror.org/000nwmh60","country_code":"US","type":"company","lineage":["https://openalex.org/I55279860"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Douglas R. Droege","raw_affiliation_strings":["L-3 Communications Cincinnati Electronics, 7500 Innovation Way, Mason, OH, 45040, USA","L- Communications Cincinnati Electronics, Mason, OH#TAB#"],"affiliations":[{"raw_affiliation_string":"L-3 Communications Cincinnati Electronics, 7500 Innovation Way, Mason, OH, 45040, USA","institution_ids":["https://openalex.org/I55279860"]},{"raw_affiliation_string":"L- Communications Cincinnati Electronics, Mason, OH#TAB#","institution_ids":["https://openalex.org/I55279860"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5038646284"],"corresponding_institution_ids":["https://openalex.org/I127591826"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":0.3288,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.6040937,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2007","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","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"}},"topics":[{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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":0.9975000023841858,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/undersampling","display_name":"Undersampling","score":0.9364086985588074},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7579256296157837},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6856796145439148},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.5649757981300354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.564640998840332},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5469938516616821},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5374835729598999},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.4848657548427582},{"id":"https://openalex.org/keywords/fixed-pattern-noise","display_name":"Fixed-pattern noise","score":0.42683106660842896},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3724512755870819},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.21384543180465698},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1872740089893341},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16245436668395996},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08387252688407898}],"concepts":[{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.9364086985588074},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7579256296157837},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6856796145439148},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.5649757981300354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.564640998840332},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5469938516616821},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5374835729598999},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.4848657548427582},{"id":"https://openalex.org/C2778368474","wikidata":"https://www.wikidata.org/wiki/Q5456322","display_name":"Fixed-pattern noise","level":3,"score":0.42683106660842896},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3724512755870819},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.21384543180465698},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1872740089893341},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16245436668395996},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08387252688407898},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2007/89354","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2007/89354","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/2007/89354","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:01109666d9cd449b91143fd4e2289c60","is_oa":true,"landing_page_url":"https://doaj.org/article/01109666d9cd449b91143fd4e2289c60","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Advances in Signal Processing, Vol 2007 (2007)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2007/89354","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2007/89354","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/2007/89354","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1994351129.pdf","grobid_xml":"https://content.openalex.org/works/W1994351129.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W161958159","https://openalex.org/W1531254092","https://openalex.org/W1544729927","https://openalex.org/W1654812740","https://openalex.org/W1836454392","https://openalex.org/W1964569497","https://openalex.org/W1973225553","https://openalex.org/W1989222601","https://openalex.org/W1991812099","https://openalex.org/W2008652157","https://openalex.org/W2018669209","https://openalex.org/W2019830860","https://openalex.org/W2020999234","https://openalex.org/W2027272709","https://openalex.org/W2036339735","https://openalex.org/W2063652918","https://openalex.org/W2067042811","https://openalex.org/W2067512680","https://openalex.org/W2074112737","https://openalex.org/W2074765013","https://openalex.org/W2079538115","https://openalex.org/W2087380704","https://openalex.org/W2096495754","https://openalex.org/W2107384509","https://openalex.org/W2110548691","https://openalex.org/W2112477024","https://openalex.org/W2114220616","https://openalex.org/W2116618478","https://openalex.org/W2139597199","https://openalex.org/W2141456872","https://openalex.org/W2153576559","https://openalex.org/W2156930033","https://openalex.org/W2161739251","https://openalex.org/W2167306329","https://openalex.org/W2744769585","https://openalex.org/W3003659851","https://openalex.org/W3024183354"],"related_works":["https://openalex.org/W2109073422","https://openalex.org/W2887783772","https://openalex.org/W2101754595","https://openalex.org/W4249381695","https://openalex.org/W2534887053","https://openalex.org/W2026172757","https://openalex.org/W2080076470","https://openalex.org/W4389292014","https://openalex.org/W2394059563","https://openalex.org/W2057829591"],"abstract_inverted_index":{"During":[0],"digital":[1],"video":[2,99,211],"acquisition,":[3],"imagery":[4,204],"may":[5],"be":[6,96,155],"degraded":[7],"by":[8,147],"a":[9,55,57,78,88,101,107,179,188],"number":[10,189],"of":[11,44,90,103,111,117,142,190,197],"phenomena":[12],"including":[13,105],"undersampling,":[14,65],"blur,":[15,67],"and":[16,70,82,122,165,181,208],"noise.":[17],"Many":[18],"systems,":[19],"particularly":[20],"those":[21],"containing":[22],"infrared":[23,210],"focal":[24],"plane":[25],"array":[26],"(FPA)":[27],"sensors,":[28],"are":[29,134],"also":[30],"subject":[31],"to":[32,98,113,193],"detector":[33,83],"nonuniformity.":[34,72],"Nonuniformity,":[35],"or":[36,158],"fixed":[37],"pattern":[38],"noise,":[39,69],"results":[40,133,192],"from":[41,87],"nonuniform":[42],"responsivity":[43],"the":[45,50,138,163,175,195,198],"photodetectors":[46],"that":[47,131,174],"make":[48],"up":[49],"FPA.":[51],"Here":[52],"we":[53,75,129,172],"propose":[54],"maximum":[56],"posteriori":[58],"(MAP)":[59],"estimation":[60],"framework":[61],"for":[62,205,212],"simultaneously":[63],"addressing":[64],"linear":[66],"additive":[68],"bias":[71,84],"In":[73],"particular,":[74],"jointly":[76],"estimate":[77],"superresolution":[79],"(SR)":[80],"image":[81],"nonuniformity":[85,123],"parameters":[86],"sequence":[89],"observed":[91],"frames.":[92,118],"This":[93],"algorithm":[94,153,177],"can":[95,154],"applied":[97,156],"in":[100,126],"variety":[102],"ways":[104],"using":[106],"moving":[108],"temporal":[109],"window":[110],"frames":[112],"process":[114],"successive":[115],"groups":[116],"By":[119],"combining":[120],"SR":[121],"correction":[124],"(NUC)":[125],"this":[127],"fashion,":[128],"demonstrate":[130,194],"superior":[132],"possible":[135],"compared":[136],"with":[137,157],"more":[139],"conventional":[140],"approach":[141],"performing":[143],"scene-based":[144,183],"NUC":[145,184],"followed":[146],"independent":[148],"SR.":[149],"The":[150],"proposed":[151,176,199],"MAP":[152],"without":[159,170],"SR,":[160,171],"depending":[161],"on":[162],"application":[164],"computational":[166],"resources":[167],"available.":[168],"Even":[169],"believe":[173],"represents":[178],"novel":[180],"promising":[182],"technique.":[185],"We":[186],"present":[187],"experimental":[191],"efficacy":[196],"algorithm.":[200],"These":[201],"include":[202],"simulated":[203],"quantitative":[206],"analysis":[207],"real":[209],"qualitative":[213],"analysis.":[214]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-03-17T09:09:15.849793","created_date":"2016-06-24T00:00:00"}
