{"id":"https://openalex.org/W1996856541","doi":"https://doi.org/10.1109/icip.2007.4379013","title":"Compressed Sensing Image Reconstruction Via Recursive Spatially Adaptive Filtering","display_name":"Compressed Sensing Image Reconstruction Via Recursive Spatially Adaptive Filtering","publication_year":2007,"publication_date":"2007-09-01","ids":{"openalex":"https://openalex.org/W1996856541","doi":"https://doi.org/10.1109/icip.2007.4379013","mag":"1996856541"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2007.4379013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4379013","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5090213299","display_name":"Karen Egiazarian","orcid":"https://orcid.org/0000-0002-8135-1085"},"institutions":[{"id":"https://openalex.org/I150589677","display_name":"Tampere University of Applied Sciences","ror":"https://ror.org/00bwtjf83","country_code":"FI","type":"education","lineage":["https://openalex.org/I150589677"]},{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Karen Egiazarian","raw_affiliation_strings":["Institute of Signal Processing, Tampere University of Technology, Tampere, Finland","Tampere Univ. of Technology, Tampere#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Signal Processing, Tampere University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I4210133110"]},{"raw_affiliation_string":"Tampere Univ. of Technology, Tampere#TAB#","institution_ids":["https://openalex.org/I150589677","https://openalex.org/I4210133110"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063956725","display_name":"Alessandro Foi","orcid":"https://orcid.org/0000-0001-8228-3187"},"institutions":[{"id":"https://openalex.org/I150589677","display_name":"Tampere University of Applied Sciences","ror":"https://ror.org/00bwtjf83","country_code":"FI","type":"education","lineage":["https://openalex.org/I150589677"]},{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Alessandro Foi","raw_affiliation_strings":["Institute of Signal Processing, Tampere University of Technology, Tampere, Finland","Tampere Univ. of Technology, Tampere#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Signal Processing, Tampere University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I4210133110"]},{"raw_affiliation_string":"Tampere Univ. of Technology, Tampere#TAB#","institution_ids":["https://openalex.org/I150589677","https://openalex.org/I4210133110"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053964818","display_name":"Vladimir Katkovnik","orcid":"https://orcid.org/0000-0003-3478-0669"},"institutions":[{"id":"https://openalex.org/I150589677","display_name":"Tampere University of Applied Sciences","ror":"https://ror.org/00bwtjf83","country_code":"FI","type":"education","lineage":["https://openalex.org/I150589677"]},{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Vladimir Katkovnik","raw_affiliation_strings":["Institute of Signal Processing, Tampere University of Technology, Tampere, Finland","Tampere Univ. of Technology, Tampere#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Signal Processing, Tampere University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I4210133110"]},{"raw_affiliation_string":"Tampere Univ. of Technology, Tampere#TAB#","institution_ids":["https://openalex.org/I150589677","https://openalex.org/I4210133110"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":143,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"I ","last_page":" 549"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994000196456909,"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/compressed-sensing","display_name":"Compressed sensing","score":0.7387599945068359},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.6906393766403198},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5658941268920898},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5497914552688599},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.5287083387374878},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4803920388221741},{"id":"https://openalex.org/keywords/imaging-phantom","display_name":"Imaging phantom","score":0.45569318532943726},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.4526994228363037},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4492821991443634},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4325453042984009},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.42481252551078796},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35611921548843384},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3200564384460449},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.29620635509490967},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.255298376083374}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7387599945068359},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6906393766403198},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5658941268920898},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5497914552688599},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.5287083387374878},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4803920388221741},{"id":"https://openalex.org/C104293457","wikidata":"https://www.wikidata.org/wiki/Q28324852","display_name":"Imaging phantom","level":2,"score":0.45569318532943726},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4526994228363037},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4492821991443634},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4325453042984009},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.42481252551078796},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35611921548843384},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3200564384460449},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.29620635509490967},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.255298376083374},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","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},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2007.4379013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4379013","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.82.1042","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.82.1042","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.tut.fi/~comsens/ICIP2007-ComprSens-Egiazarian-Foi-Katkovnik.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.46000000834465027,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W67772112","https://openalex.org/W1499021337","https://openalex.org/W1523109900","https://openalex.org/W1977252496","https://openalex.org/W2003884262","https://openalex.org/W2038467879","https://openalex.org/W2056370875","https://openalex.org/W2120954952","https://openalex.org/W2127271355","https://openalex.org/W2136235822","https://openalex.org/W2141359302","https://openalex.org/W2145096794","https://openalex.org/W2147656689","https://openalex.org/W2154332973","https://openalex.org/W2296616510","https://openalex.org/W4250955649","https://openalex.org/W4285719527","https://openalex.org/W6631161577","https://openalex.org/W6651416709"],"related_works":["https://openalex.org/W2082465502","https://openalex.org/W1829060647","https://openalex.org/W2896778670","https://openalex.org/W1965977581","https://openalex.org/W2061980133","https://openalex.org/W3209466624","https://openalex.org/W2387685679","https://openalex.org/W4298004047","https://openalex.org/W2077506191","https://openalex.org/W3134728064"],"abstract_inverted_index":{"We":[0,150],"introduce":[1],"a":[2,19,56,82,119,132,147,192],"new":[3,101],"approach":[4,52,157],"to":[5,17,95,182],"image":[6,85,91],"reconstruction":[7,31,185,201],"from":[8,163,168,191],"highly":[9],"incomplete":[10,108],"data.":[11],"The":[12,197],"available":[13],"data":[14,189],"are":[15],"assumed":[16],"be":[18,116],"small":[20,194],"collection":[21],"of":[22,25,36,43,71,78,106,122,154,186,199],"spectral":[23],"coefficients":[24],"an":[26],"arbitrary":[27],"linear":[28],"transform.":[29],"This":[30,112],"problem":[32],"is":[33,53,67,93,202],"the":[34,40,65,75,79,90,97,107,123,139,152,155,179,206,210],"subject":[35],"intensive":[37],"study":[38],"in":[39,74,89,144,203,209],"recent":[41],"field":[42],"\"compressed":[44],"sensing\"":[45],"(also":[46],"known":[47],"as":[48,118],"\"compressive":[49],"sampling\").":[50],"Our":[51],"based":[54],"on":[55],"quite":[57],"specific":[58],"recursive":[59,113],"filtering":[60],"procedure.":[61],"At":[62],"every":[63],"iteration":[64],"algorithm":[66,114,180],"excited":[68],"by":[69,131,146],"injection":[70],"random":[72],"noise":[73,98],"unobserved":[76],"portion":[77],"spectrum":[80],"and":[81,99,103,109,171],"spatially":[83,133],"adaptive":[84,134],"denoising":[86],"filter,":[87],"working":[88],"domain,":[92],"exploited":[94],"attenuate":[96],"reveal":[100],"features":[102],"details":[104],"out":[105],"degraded":[110],"observations.":[111],"can":[115],"interpreted":[117],"special":[120],"type":[121],"Robbins-Monro":[124],"stochastic":[125],"approximation":[126],"procedure":[127],"with":[128,205],"regularization":[129],"enabled":[130],"filter.":[135],"Overall,":[136],"we":[137,176],"replace":[138],"conventional":[140],"parametric":[141],"modeling":[142],"used":[143],"CS":[145],"nonparametric":[148],"one.":[149],"illustrate":[151],"effectiveness":[153],"proposed":[156],"for":[158],"two":[159],"important":[160],"inverse":[161],"problems":[162],"computerized":[164],"tomography:":[165],"Radon":[166],"inversion":[167],"sparse":[169],"projections":[170],"limited-angle":[172],"tomography.":[173],"In":[174],"particular":[175],"show":[177],"that":[178],"allows":[181],"achieve":[183],"exact":[184],"synthetic":[187],"phantom":[188],"even":[190],"very":[193],"number":[195],"projections.":[196],"accuracy":[198],"our":[200],"line":[204],"best":[207],"results":[208],"compressed":[211],"sensing":[212],"field.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":15},{"year":2016,"cited_by_count":16},{"year":2015,"cited_by_count":16},{"year":2014,"cited_by_count":14},{"year":2013,"cited_by_count":12},{"year":2012,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
