乐胖代购免代理版

{"id":"https://openalex.org/W2118515955","doi":"https://doi.org/10.1109/iccv.2005.164","title":"Mutual information regularized Bayesian framework for multiple image restoration","display_name":"Mutual information regularized Bayesian framework for multiple image restoration","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2118515955","doi":"https://doi.org/10.1109/iccv.2005.164","mag":"2118515955"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2005.164","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://www.ifp.illinois.edu/~chenyq/research/publications/ICCV05_MIRestoration_final.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001656495","display_name":"Yunqiang Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"funder","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"None Yunqiang Chen","raw_affiliation_strings":["[Siemens Corporate Res., Princeton, NJ, USA]"],"affiliations":[{"raw_affiliation_string":"[Siemens Corporate Res., Princeton, NJ, USA]","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101753504","display_name":"Hongcheng Wang","orcid":"https://orcid.org/0009-0004-2783-5910"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"funder","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"None Hongcheng Wang","raw_affiliation_strings":["[Siemens Corporate Res., Princeton, NJ, USA]"],"affiliations":[{"raw_affiliation_string":"[Siemens Corporate Res., Princeton, NJ, USA]","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111520035","display_name":"Tong Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"funder","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"None Tong Fang","raw_affiliation_strings":["[Siemens Corporate Res., Princeton, NJ, USA]"],"affiliations":[{"raw_affiliation_string":"[Siemens Corporate Res., Princeton, NJ, USA]","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023072093","display_name":"J. Tyan","orcid":null},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"funder","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Tyan","raw_affiliation_strings":["[Siemens Corporate Res., Princeton, NJ, USA]"],"affiliations":[{"raw_affiliation_string":"[Siemens Corporate Res., Princeton, NJ, USA]","institution_ids":["https://openalex.org/I20089843"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.63,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":6,"citation_normalized_percentile":{"value":0.457199,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":77,"max":79},"biblio":{"volume":null,"issue":null,"first_page":"190","last_page":"197 Vol. 1"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9995,"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":0.9995,"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":0.9993,"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":0.9992,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/independence","display_name":"Independence","score":0.55624634}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.69293463},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.66777104},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6645956},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.6095058},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.58119327},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.55624634},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5329016},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.49317354},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4662776},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.44744003},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3652256},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3365889},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24382243},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.17751563},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08310866},{"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2005.164","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.324.4837","pdf_url":"http://www.ifp.illinois.edu/~chenyq/research/publications/ICCV05_MIRestoration_final.pdf","source":{"id":"https://openalex.org/S4306400349","display_name":"CiteSeer X (The Pennsylvania State University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I130769515","host_organization_name":"Pennsylvania State University","host_organization_lineage":["https://openalex.org/I130769515"],"host_organization_lineage_names":["Pennsylvania State University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.324.4837","pdf_url":"http://www.ifp.illinois.edu/~chenyq/research/publications/ICCV05_MIRestoration_final.pdf","source":{"id":"https://openalex.org/S4306400349","display_name":"CiteSeer X (The Pennsylvania State University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I130769515","host_organization_name":"Pennsylvania State University","host_organization_lineage":["https://openalex.org/I130769515"],"host_organization_lineage_names":["Pennsylvania State University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.49}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":53,"referenced_works":["https://openalex.org/W127819838","https://openalex.org/W132342146","https://openalex.org/W1494413412","https://openalex.org/W1510095622","https://openalex.org/W1510372729","https://openalex.org/W1536655834","https://openalex.org/W1543770286","https://openalex.org/W1550347684","https://openalex.org/W1553603376","https://openalex.org/W1554023438","https://openalex.org/W1577009604","https://openalex.org/W1651266332","https://openalex.org/W1756861058","https://openalex.org/W1758521475","https://openalex.org/W1874629772","https://openalex.org/W1883432772","https://openalex.org/W1915150759","https://openalex.org/W1933211757","https://openalex.org/W2020999234","https://openalex.org/W2037521346","https://openalex.org/W2096989858","https://openalex.org/W2097099938","https://openalex.org/W2097539558","https://openalex.org/W2099232332","https://openalex.org/W2099864919","https://openalex.org/W2100905403","https://openalex.org/W2105594594","https://openalex.org/W2112580005","https://openalex.org/W2115471876","https://openalex.org/W2121166384","https://openalex.org/W2122209115","https://openalex.org/W2125666109","https://openalex.org/W2129487345","https://openalex.org/W2140502500","https://openalex.org/W2143426897","https://openalex.org/W2146029742","https://openalex.org/W2147444209","https://openalex.org/W2156909104","https://openalex.org/W2164117311","https://openalex.org/W2171857449","https://openalex.org/W2172041066","https://openalex.org/W2224107118","https://openalex.org/W2247440516","https://openalex.org/W2302452243","https://openalex.org/W2345332819","https://openalex.org/W2394918752","https://openalex.org/W261903369","https://openalex.org/W3140432377","https://openalex.org/W3142341570","https://openalex.org/W3150570525","https://openalex.org/W4255364013","https://openalex.org/W4310638450","https://openalex.org/W941545180"],"related_works":["https://openalex.org/W842936808","https://openalex.org/W3174028392","https://openalex.org/W2913710507","https://openalex.org/W2466816617","https://openalex.org/W2375330620","https://openalex.org/W2365318811","https://openalex.org/W2363755581","https://openalex.org/W2136503713","https://openalex.org/W2000517284","https://openalex.org/W1970834875"],"abstract_inverted_index":{"Bayesian":[0,32,56,112,117],"methods":[1,33],"have":[2],"been":[3],"extensively":[4],"used":[5],"in":[6,21,78,137],"various":[7,132],"applications.":[8,143],"However,":[9],"there":[10],"are":[11,34,100],"two":[12],"intrinsic":[13],"issues":[14],"rarely":[15],"addressed,":[16],"namely":[17],"generalization":[18],"and":[19,39],"validity,":[20],"the":[22,45,55,64,67,92,111,121],"context":[23],"of":[24,66],"multiple":[25],"image":[26],"restoration,":[27],"we":[28,59,84],"show":[29],"that":[30],"traditional":[31,122],"sensitive":[35],"to":[36,61,89,102,109,131],"model":[37,133],"errors":[38],"cannot":[40],"guarantee":[41],"valid":[42],"results":[43],"satisfying":[44],"underlying":[46],"prior":[47,71],"knowledge,":[48],"e.g.":[49],"independent":[50],"noise":[51,70],"property.":[52],"To":[53],"improve":[54],"framework's":[57],"generalization,":[58],"propose":[60],"explicitly":[62,90],"enforce":[63,91],"validity":[65],"result.":[68],"Independent":[69],"is":[72,127],"very":[73],"important":[74],"but":[75,126],"largely":[76],"under-utilized":[77],"previous":[79],"literature.":[80],"In":[81],"this":[82],"paper,":[83],"use":[85],"mutual":[86],"information":[87],"(MI)":[88],"independence.":[93],"Efficient":[94],"approximations":[95],"based":[96],"on":[97,139],"Taylor":[98],"expansion":[99],"proposed":[101],"adapt":[103],"MI":[104],"into":[105],"standard":[106],"energy":[107],"forms":[108],"regularize":[110],"methods.":[113],"The":[114],"new":[115],"regularized":[116],"framework":[118],"effectively":[119],"utilizes":[120],"generative":[123],"signal/noise":[124],"models":[125],"much":[128],"more":[129],"robust":[130],"errors,":[134],"as":[135],"demonstrated":[136],"experiments":[138],"some":[140],"demanding":[141],"imaging":[142]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2118515955","counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-03-25T02:55:24.004773","created_date":"2016-06-24"}