{"id":"https://openalex.org/W1970047840","doi":"https://doi.org/10.1155/2007/72658","title":"Iterative Desensitisation of Image Restoration Filters under Wrong PSF and Noise Estimates","display_name":"Iterative Desensitisation of Image Restoration Filters under Wrong PSF and Noise Estimates","publication_year":2007,"publication_date":"2007-03-14","ids":{"openalex":"https://openalex.org/W1970047840","doi":"https://doi.org/10.1155/2007/72658","mag":"1970047840"},"language":"en","primary_location":{"id":"doi:10.1155/2007/72658","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2007/72658","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/2007/72658","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/10.1155/2007/72658","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103847396","display_name":"Miguel Angel Santiago","orcid":null},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Miguel A. Santiago","raw_affiliation_strings":["Departamento de Se\u00f1ales, Sistemas y Radiocomunicaciones, Escuela T\u00e9cnica Superior de Ingenieros de Telecomunicaci\u00f3n, Universidad Polit\u00e9cnica de Madrid, Madrid, 28040, Spain","Departamento de Se\u00f1ales, Sistemas y Radiocomunicaciones, Escuela T\u00e9cnica Superior de Ingenieros de Telecomunicaci\u00f3n, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Departamento de Se\u00f1ales, Sistemas y Radiocomunicaciones, Escuela T\u00e9cnica Superior de Ingenieros de Telecomunicaci\u00f3n, Universidad Polit\u00e9cnica de Madrid, Madrid, 28040, Spain","institution_ids":["https://openalex.org/I88060688"]},{"raw_affiliation_string":"Departamento de Se\u00f1ales, Sistemas y Radiocomunicaciones, Escuela T\u00e9cnica Superior de Ingenieros de Telecomunicaci\u00f3n, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113660461","display_name":"Guillermo Cisneros","orcid":"https://orcid.org/0009-0002-0660-2232"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Guillermo Cisneros","raw_affiliation_strings":["Departamento de Se\u00f1ales, Sistemas y Radiocomunicaciones, Escuela T\u00e9cnica Superior de Ingenieros de Telecomunicaci\u00f3n, Universidad Polit\u00e9cnica de Madrid, Madrid, 28040, Spain","Departamento de Se\u00f1ales, Sistemas y Radiocomunicaciones, Escuela T\u00e9cnica Superior de Ingenieros de Telecomunicaci\u00f3n, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Departamento de Se\u00f1ales, Sistemas y Radiocomunicaciones, Escuela T\u00e9cnica Superior de Ingenieros de Telecomunicaci\u00f3n, Universidad Polit\u00e9cnica de Madrid, Madrid, 28040, Spain","institution_ids":["https://openalex.org/I88060688"]},{"raw_affiliation_string":"Departamento de Se\u00f1ales, Sistemas y Radiocomunicaciones, Escuela T\u00e9cnica Superior de Ingenieros de Telecomunicaci\u00f3n, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072650159","display_name":"Emiliano Bernu\u00e9s","orcid":null},"institutions":[{"id":"https://openalex.org/I255234318","display_name":"Universidad de Zaragoza","ror":"https://ror.org/012a91z28","country_code":"ES","type":"education","lineage":["https://openalex.org/I255234318"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Emiliano Bernu\u00e9s","raw_affiliation_strings":["Departamento de Ingenier\u00eda Electr\u00f3nica y Comunicaciones, Centro Polit\u00e9cnico Superior, Universidad de Zaragoza, Zaragoza, 50018, Spain","Departamento de Ingenier\u00eda Electr\u00f3nica y Comunicaciones, Centro Polit\u00e9cnico Superior, Universidad de Zaragoza, Zaragoza, Spain"],"affiliations":[{"raw_affiliation_string":"Departamento de Ingenier\u00eda Electr\u00f3nica y Comunicaciones, Centro Polit\u00e9cnico Superior, Universidad de Zaragoza, Zaragoza, 50018, Spain","institution_ids":["https://openalex.org/I255234318"]},{"raw_affiliation_string":"Departamento de Ingenier\u00eda Electr\u00f3nica y Comunicaciones, Centro Polit\u00e9cnico Superior, Universidad de Zaragoza, Zaragoza, Spain","institution_ids":["https://openalex.org/I255234318"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103847396"],"corresponding_institution_ids":["https://openalex.org/I88060688"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":0.9861,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.76750402,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9987999796867371,"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"}},{"id":"https://openalex.org/T11205","display_name":"Numerical methods in inverse problems","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/wiener-filter","display_name":"Wiener filter","score":0.8269921541213989},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.6685487627983093},{"id":"https://openalex.org/keywords/wiener-deconvolution","display_name":"Wiener deconvolution","score":0.6288866996765137},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5550904273986816},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.522448718547821},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5213495492935181},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4922439157962799},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.4621259868144989},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.4373496472835541},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.41851308941841125},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34555351734161377},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24535825848579407},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.23921272158622742},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23013195395469666},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.20774665474891663},{"id":"https://openalex.org/keywords/blind-deconvolution","display_name":"Blind deconvolution","score":0.1653101146221161},{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.12123757600784302},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.1078822910785675},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0779467225074768}],"concepts":[{"id":"https://openalex.org/C18537770","wikidata":"https://www.wikidata.org/wiki/Q25523","display_name":"Wiener filter","level":2,"score":0.8269921541213989},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.6685487627983093},{"id":"https://openalex.org/C15652857","wikidata":"https://www.wikidata.org/wiki/Q599016","display_name":"Wiener deconvolution","level":4,"score":0.6288866996765137},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5550904273986816},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.522448718547821},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5213495492935181},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4922439157962799},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.4621259868144989},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4373496472835541},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.41851308941841125},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34555351734161377},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24535825848579407},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.23921272158622742},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23013195395469666},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.20774665474891663},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.1653101146221161},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.12123757600784302},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.1078822910785675},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0779467225074768},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2007/72658","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2007/72658","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/2007/72658","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:554af3f2dbaa43c8ac46bbcec8c24278","is_oa":true,"landing_page_url":"https://doaj.org/article/554af3f2dbaa43c8ac46bbcec8c24278","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:10.1155/2007/72658","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2007/72658","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/2007/72658","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":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1970047840.pdf","grobid_xml":"https://content.openalex.org/works/W1970047840.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1507330670","https://openalex.org/W1545988247","https://openalex.org/W1622178910","https://openalex.org/W1965220183","https://openalex.org/W1995178612","https://openalex.org/W2017340278","https://openalex.org/W2068728923","https://openalex.org/W2072866006","https://openalex.org/W2077115705","https://openalex.org/W2078187167","https://openalex.org/W2101665488","https://openalex.org/W2104872117","https://openalex.org/W2106346047","https://openalex.org/W2109030076","https://openalex.org/W2120753013","https://openalex.org/W2124654235","https://openalex.org/W2128216222","https://openalex.org/W2128428741","https://openalex.org/W2128967587","https://openalex.org/W2129306078","https://openalex.org/W2132732065","https://openalex.org/W2136112691","https://openalex.org/W2143355445","https://openalex.org/W2144975407","https://openalex.org/W2145165396","https://openalex.org/W2146421314","https://openalex.org/W2150060382","https://openalex.org/W2154121633","https://openalex.org/W2163140044","https://openalex.org/W2163887005","https://openalex.org/W2166982406","https://openalex.org/W2167837909","https://openalex.org/W2168796889","https://openalex.org/W2171611161","https://openalex.org/W2212236609","https://openalex.org/W2265707969","https://openalex.org/W2538364463","https://openalex.org/W3026386414","https://openalex.org/W3140428646","https://openalex.org/W3143835353","https://openalex.org/W4253250161","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2591816639","https://openalex.org/W191018408","https://openalex.org/W2362327276","https://openalex.org/W2366375867","https://openalex.org/W2804237704","https://openalex.org/W2518160924","https://openalex.org/W2068194515","https://openalex.org/W2077716234","https://openalex.org/W1979147520","https://openalex.org/W2971741894"],"abstract_inverted_index":{"The":[0,170],"restoration":[1,15,27,55,90,107],"achieved":[2],"on":[3,84,159,194],"the":[4,14,18,25,30,37,41,48,71,85,89,102,112,121,125,137,152,157,182,187],"basis":[5],"of":[6,20,32,63,88,104,120,139,143,156,166],"a":[7,21,53,75,105,129,141],"Wiener":[8,26,113,188],"scheme":[9,108],"is":[10,17,78,132],"an":[11,97,195],"optimum":[12],"since":[13],"filter":[16],"outcome":[19],"minimisation":[22],"process.":[23],"Moreover,":[24],"approach":[28],"requires":[29],"estimation":[31],"some":[33],"parameters":[34,167],"related":[35],"to":[36,80,100,111,117,151],"original":[38],"image":[39],"and":[40],"noise,":[42],"as":[43,45,190,192],"well":[44,191],"knowledge":[46],"about":[47],"PSF":[49],"function.":[50],"However,":[51],"in":[52,134,186],"real":[54],"problem,":[56],"we":[57,95],"may":[58],"not":[59],"possess":[60],"accurate":[61],"values":[62,165],"these":[64],"parameters,":[65],"making":[66],"results":[67,176],"relatively":[68],"far":[69],"from":[70],"desired":[72],"optimum.":[73],"Indeed,":[74],"desensitisation":[76,154],"process":[77],"required":[79],"decrease":[81],"this":[82,93],"dependency":[83],"parameter":[86],"errors":[87,158],"filter.":[91],"In":[92],"paper,":[94],"present":[96],"iterative":[98],"method":[99],"reduce":[101],"sensitivity":[103,130],"general":[106],"(but":[109],"specified":[110],"filter)":[114],"with":[115,136],"regards":[116],"wrong":[118,184],"estimates":[119,185],"said":[122],"parameters.":[123],"Within":[124],"Fourier":[126],"transform":[127],"domain,":[128],"analysis":[131],"tackled":[133],"depth":[135],"purpose":[138],"defining":[140],"number":[142],"iterations":[144],"for":[145],"each":[146],"frequency":[147],"element,":[148],"which":[149],"leads":[150],"aimed":[153],"regardless":[155],"estimates.":[160],"Experimental":[161],"computations":[162],"using":[163,181],"meaningful":[164],"are":[168],"addressed.":[169],"proposed":[171],"technique":[172],"effectively":[173],"achieves":[174],"better":[175],"than":[177],"those":[178],"obtained":[179],"when":[180],"same":[183],"approach,":[189],"verified":[193],"SAR":[196],"restoration.":[197]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-03-17T17:19:04.345684","created_date":"2016-06-24T00:00:00"}