{"id":"https://openalex.org/W2094009149","doi":"https://doi.org/10.1002/ima.1850060409","title":"Occamian approach in the image restoration and other inverse problems","display_name":"Occamian approach in the image restoration and other inverse problems","publication_year":1995,"publication_date":"1995-12-01","ids":{"openalex":"https://openalex.org/W2094009149","doi":"https://doi.org/10.1002/ima.1850060409","mag":"2094009149"},"language":"en","primary_location":{"id":"doi:10.1002/ima.1850060409","is_oa":false,"landing_page_url":"https://doi.org/10.1002/ima.1850060409","pdf_url":null,"source":{"id":"https://openalex.org/S15952048","display_name":"International Journal of Imaging Systems and Technology","issn_l":"0899-9457","issn":["0899-9457","1098-1098"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Imaging Systems and Technology","raw_type":"journal-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/A5074937100","display_name":"V. Yu. Terebizh","orcid":"https://orcid.org/0000-0003-4129-3770"},"institutions":[{"id":"https://openalex.org/I4210161253","display_name":"Crimean Astrophysical Observatory","ror":"https://ror.org/05d0bdm05","country_code":"UA","type":"facility","lineage":["https://openalex.org/I4210161253"]}],"countries":["UA"],"is_corresponding":true,"raw_author_name":"V. Yu. Terebizh","raw_affiliation_strings":["Crimean Station of Sternberg Astronomical Institute, 334413 Nauchny, Crimea, Ukraine"],"affiliations":[{"raw_affiliation_string":"Crimean Station of Sternberg Astronomical Institute, 334413 Nauchny, Crimea, Ukraine","institution_ids":["https://openalex.org/I4210161253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5074937100"],"corresponding_institution_ids":["https://openalex.org/I4210161253"],"apc_list":{"value":3450,"currency":"USD","value_usd":3450},"apc_paid":null,"fwci":1.3424,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.80428506,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"6","issue":"4","first_page":"358","last_page":"369"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12261","display_name":"Statistical Mechanics and Entropy","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12261","display_name":"Statistical Mechanics and Entropy","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.98089998960495,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9624000191688538,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/occam","display_name":"occam","score":0.9019563794136047},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.6397334337234497},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.6218048930168152},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5771595239639282},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.566281795501709},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49680235981941223},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.469376802444458},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.46078622341156006},{"id":"https://openalex.org/keywords/fisher-information","display_name":"Fisher information","score":0.4582061767578125},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4337172508239746},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42593514919281006},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.4224620461463928},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4083382785320282},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.40063899755477905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34016746282577515},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.22582635283470154},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22104954719543457},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15140065550804138}],"concepts":[{"id":"https://openalex.org/C78469957","wikidata":"https://www.wikidata.org/wiki/Q838062","display_name":"occam","level":2,"score":0.9019563794136047},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.6397334337234497},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.6218048930168152},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5771595239639282},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.566281795501709},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49680235981941223},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.469376802444458},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.46078622341156006},{"id":"https://openalex.org/C29406490","wikidata":"https://www.wikidata.org/wiki/Q1420659","display_name":"Fisher information","level":2,"score":0.4582061767578125},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4337172508239746},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42593514919281006},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.4224620461463928},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4083382785320282},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.40063899755477905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34016746282577515},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.22582635283470154},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22104954719543457},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15140065550804138},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/ima.1850060409","is_oa":false,"landing_page_url":"https://doi.org/10.1002/ima.1850060409","pdf_url":null,"source":{"id":"https://openalex.org/S15952048","display_name":"International Journal of Imaging Systems and Technology","issn_l":"0899-9457","issn":["0899-9457","1098-1098"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Imaging Systems and Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W140384012","https://openalex.org/W1510355813","https://openalex.org/W1965555277","https://openalex.org/W1995875735","https://openalex.org/W2005140191","https://openalex.org/W2039604288","https://openalex.org/W2041593472","https://openalex.org/W2052256883","https://openalex.org/W2062328787","https://openalex.org/W2064963984","https://openalex.org/W2071128523","https://openalex.org/W2075665712","https://openalex.org/W2084840427","https://openalex.org/W2085188728","https://openalex.org/W2100115174","https://openalex.org/W2135479785","https://openalex.org/W2160552909","https://openalex.org/W2316690810","https://openalex.org/W2611591252","https://openalex.org/W2797791043","https://openalex.org/W2989457786","https://openalex.org/W3040853709","https://openalex.org/W3146166473","https://openalex.org/W4205447762","https://openalex.org/W4212783130","https://openalex.org/W4252713891","https://openalex.org/W4254563424"],"related_works":["https://openalex.org/W2024391838","https://openalex.org/W1984951496","https://openalex.org/W1972505840","https://openalex.org/W1519727353","https://openalex.org/W4240818040","https://openalex.org/W2072381325","https://openalex.org/W2949846021","https://openalex.org/W4385825373","https://openalex.org/W652065138","https://openalex.org/W2946332190"],"abstract_inverted_index":{"Abstract":[0],"A":[1],"non\u2010Bayesian":[2],"approach":[3,17],"to":[4,55],"inverse":[5,50],"problems":[6],"is":[7,18,45],"discussed":[8],"in":[9],"terms":[10],"of":[11,24,33],"the":[12,21,25,30,35,40,49],"image":[13],"restoration":[14],"problem.":[15],"The":[16,42],"based":[19],"on":[20,29],"extended":[22],"notion":[23],"feasible":[26],"estimate":[27,54],"and":[28],"Occam's":[31],"principle":[32],"choosing":[34],"simplest":[36],"object,":[37],"consistent":[38],"with":[39],"data.":[41],"Occamian":[43],"estimation":[44],"performed":[46],"by":[47,62],"transforming":[48],"or":[51],"maximum":[52],"likelihood":[53],"its":[56],"principal":[57],"components,":[58],"which":[59],"are":[60],"induced":[61],"Fisher's":[63],"information":[64],"matrix.":[65]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
