{"id":"https://openalex.org/W4377139222","doi":"https://doi.org/10.1007/s10915-023-02234-1","title":"Sequential Image Recovery Using Joint Hierarchical Bayesian Learning","display_name":"Sequential Image Recovery Using Joint Hierarchical Bayesian Learning","publication_year":2023,"publication_date":"2023-05-18","ids":{"openalex":"https://openalex.org/W4377139222","doi":"https://doi.org/10.1007/s10915-023-02234-1"},"language":"en","primary_location":{"id":"doi:10.1007/s10915-023-02234-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10915-023-02234-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10915-023-02234-1.pdf","source":{"id":"https://openalex.org/S151550017","display_name":"Journal of Scientific Computing","issn_l":"0885-7474","issn":["0885-7474","1573-7691"],"is_oa":false,"is_in_doaj":false,"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":"Journal of Scientific Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10915-023-02234-1.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100701345","display_name":"Yao Xiao","orcid":"https://orcid.org/0000-0002-9438-7431"},"institutions":[{"id":"https://openalex.org/I107672454","display_name":"Dartmouth College","ror":"https://ror.org/049s0rh22","country_code":"US","type":"education","lineage":["https://openalex.org/I107672454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yao Xiao","raw_affiliation_strings":["Department of Mathematics, Dartmouth College, Hanover, NH, 03755, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Dartmouth College, Hanover, NH, 03755, USA","institution_ids":["https://openalex.org/I107672454"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005268833","display_name":"Jan Glaubitz","orcid":"https://orcid.org/0000-0002-3434-5563"},"institutions":[{"id":"https://openalex.org/I46020346","display_name":"American Institute of Aeronautics and Astronautics","ror":"https://ror.org/00a1rzv11","country_code":"US","type":"other","lineage":["https://openalex.org/I46020346"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jan Glaubitz","raw_affiliation_strings":["Department of Aeronautics and Astronautics, MIT, Cambridge, MA, 02139, USA"],"affiliations":[{"raw_affiliation_string":"Department of Aeronautics and Astronautics, MIT, Cambridge, MA, 02139, USA","institution_ids":["https://openalex.org/I46020346"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5005268833"],"corresponding_institution_ids":["https://openalex.org/I46020346"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":0.7288,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.71847641,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"96","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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9990000128746033,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9987000226974487,"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/mathematics","display_name":"Mathematics","score":0.7386162281036377},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5359848737716675},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5221362709999084},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5206784009933472},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46020668745040894},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3653160631656647},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.26960909366607666},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.20822060108184814}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.7386162281036377},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5359848737716675},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5221362709999084},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5206784009933472},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46020668745040894},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3653160631656647},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.26960909366607666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.20822060108184814},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s10915-023-02234-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10915-023-02234-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10915-023-02234-1.pdf","source":{"id":"https://openalex.org/S151550017","display_name":"Journal of Scientific Computing","issn_l":"0885-7474","issn":["0885-7474","1573-7691"],"is_oa":false,"is_in_doaj":false,"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":"Journal of Scientific Computing","raw_type":"journal-article"},{"id":"pmh:oai:DiVA.org:liu-218030","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-218030","pdf_url":"https://liu.diva-portal.org/smash/get/diva2:2000300/FULLTEXT01","source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:osti.gov:1974497","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1974497","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"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":null}],"best_oa_location":{"id":"doi:10.1007/s10915-023-02234-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10915-023-02234-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10915-023-02234-1.pdf","source":{"id":"https://openalex.org/S151550017","display_name":"Journal of Scientific Computing","issn_l":"0885-7474","issn":["0885-7474","1573-7691"],"is_oa":false,"is_in_doaj":false,"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":"Journal of Scientific Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1193267745","display_name":null,"funder_award_id":"N00014-20-1-2595","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G1225289045","display_name":null,"funder_award_id":"#F9550-18-1-0316","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G1633690903","display_name":null,"funder_award_id":"00014-20","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G2336166159","display_name":null,"funder_award_id":"4-20-","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G3002294516","display_name":null,"funder_award_id":"00014-20-1-2595","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G3971516050","display_name":null,"funder_award_id":"DE-SC001270","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G5606490345","display_name":null,"funder_award_id":"DE-SC0012704.","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G5618864482","display_name":null,"funder_award_id":"9550-18-1-0316","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G5765906131","display_name":null,"funder_award_id":"SC0012704.","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G601770327","display_name":null,"funder_award_id":"F9550-18-1-0316","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G6357584807","display_name":null,"funder_award_id":"SC0012704","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G6551061839","display_name":null,"funder_award_id":"E-SC0012704","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G6907182356","display_name":null,"funder_award_id":"N00014-20-1-2595","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G7034037648","display_name":null,"funder_award_id":"4-20-1-","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G7527467070","display_name":null,"funder_award_id":"F9550-18-1-0316","funder_id":"https://openalex.org/F4320332467","funder_display_name":"U.S. Air Force"},{"id":"https://openalex.org/G7642226822","display_name":null,"funder_award_id":"DE-SC0012704","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G8876996369","display_name":null,"funder_award_id":"N00014","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320332467","display_name":"U.S. Air Force","ror":"https://ror.org/006gmme17"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"},{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4377139222.pdf"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W41431043","https://openalex.org/W572586305","https://openalex.org/W1531455566","https://openalex.org/W1975377467","https://openalex.org/W2000594266","https://openalex.org/W2000688949","https://openalex.org/W2011161612","https://openalex.org/W2059838502","https://openalex.org/W2061773916","https://openalex.org/W2071706611","https://openalex.org/W2098535678","https://openalex.org/W2103559027","https://openalex.org/W2107861471","https://openalex.org/W2114424556","https://openalex.org/W2119695388","https://openalex.org/W2130645492","https://openalex.org/W2146000945","https://openalex.org/W2149498546","https://openalex.org/W2152279006","https://openalex.org/W2152469101","https://openalex.org/W2154642173","https://openalex.org/W2162116083","https://openalex.org/W2162409952","https://openalex.org/W2164278908","https://openalex.org/W2170164530","https://openalex.org/W2808272556","https://openalex.org/W2909358586","https://openalex.org/W2910526316","https://openalex.org/W2920907273","https://openalex.org/W3013274015","https://openalex.org/W3088968830","https://openalex.org/W3098531162","https://openalex.org/W3102620198","https://openalex.org/W3217247658","https://openalex.org/W4221161934","https://openalex.org/W4247043502","https://openalex.org/W4250955649","https://openalex.org/W4300263211","https://openalex.org/W4302620827","https://openalex.org/W4323048705","https://openalex.org/W6602560904"],"related_works":["https://openalex.org/W2748574964","https://openalex.org/W1996130883","https://openalex.org/W2888483922","https://openalex.org/W2367747139","https://openalex.org/W4391102217","https://openalex.org/W2566187525","https://openalex.org/W2367150592","https://openalex.org/W2378889330","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Abstract":[0],"Recovering":[1],"temporal":[2],"image":[3,49,105],"sequences":[4],"(videos)":[5],"based":[6,51,78],"on":[7,52,67,79],"indirect,":[8],"noisy,":[9],"or":[10],"incomplete":[11],"data":[12,26,170],"is":[13,28],"an":[14],"essential":[15],"yet":[16],"challenging":[17],"task.":[18],"We":[19],"specifically":[20],"consider":[21],"the":[22,34,38,68,84,100,110,157],"case":[23],"where":[24],"each":[25,104,130],"set":[27],"missing":[29,101],"vital":[30],"information,":[31],"which":[32],"prevents":[33],"accurate":[35],"recovery":[36,50,86],"of":[37,70,87,134,156],"individual":[39,158],"images.":[40,72,112],"Although":[41],"some":[42],"recent":[43],"(variational)":[44],"methods":[45],"have":[46],"demonstrated":[47],"high-resolution":[48],"jointly":[53],"recovering":[54],"sequential":[55,71,88,117,185],"images,":[56],"there":[57],"remain":[58],"robustness":[59],"issues":[60],"due":[61],"to":[62],"parameter":[63],"tuning":[64],"and":[65,94,132,172,187],"restrictions":[66],"type":[69],"Here,":[73],"we":[74,115],"present":[75],"a":[76,153],"method":[77,98,164],"hierarchical":[80],"Bayesian":[81],"learning":[82],"for":[83,129,168,174,184],"joint":[85],"images":[89,118],"that":[90,143],"incorporates":[91],"prior":[92],"intra-":[93],"inter-image":[95],"information.":[96],"Our":[97,163],"restores":[99],"information":[102],"in":[103],"by":[106,119],"\u201cborrowing\u201d":[107],"it":[108],"from":[109],"other":[111],"More":[113],"precisely,":[114],"couple":[116],"penalizing":[120],"their":[121],"pixel-wise":[122,146],"difference.":[123],"The":[124],"corresponding":[125],"penalty":[126],"terms":[127],"(one":[128],"pixel":[131],"pair":[133],"subsequent":[135],"images)":[136],"are":[137],"treated":[138],"as":[139],"weakly-informative":[140],"random":[141],"variables":[142],"favor":[144],"small":[145],"differences":[147],"but":[148],"allow":[149],"occasional":[150],"outliers.":[151],"As":[152],"result,":[154],"all":[155],"reconstructions":[159],"yield":[160],"improved":[161],"accuracy.":[162],"can":[165],"be":[166],"used":[167],"various":[169],"acquisitions":[171],"allows":[173],"uncertainty":[175],"quantification.":[176],"Some":[177],"preliminary":[178],"results":[179],"indicate":[180],"its":[181],"potential":[182],"use":[183],"deblurring":[186],"magnetic":[188],"resonance":[189],"imaging.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}