{"id":"https://openalex.org/W2943669936","doi":"https://doi.org/10.1109/tci.2019.2914773","title":"Image Restoration and Reconstruction using Targeted Plug-and-Play Priors","display_name":"Image Restoration and Reconstruction using Targeted Plug-and-Play Priors","publication_year":2019,"publication_date":"2019-05-04","ids":{"openalex":"https://openalex.org/W2943669936","doi":"https://doi.org/10.1109/tci.2019.2914773","mag":"2943669936"},"language":"en","primary_location":{"id":"doi:10.1109/tci.2019.2914773","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2019.2914773","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2334-0118","2573-0436"],"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":"IEEE Transactions on Computational Imaging","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/A5027509179","display_name":"Afonso M. Teodoro","orcid":"https://orcid.org/0000-0002-5432-6474"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]},{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Afonso M. Teodoro","raw_affiliation_strings":["Instituto de Telecomunica\u00e7\u00f5es and Instituto Superior T\u00e9cnico, Universidade de Lisboa, Lisboa, Portugal"],"raw_orcid":"https://orcid.org/0000-0002-5432-6474","affiliations":[{"raw_affiliation_string":"Instituto de Telecomunica\u00e7\u00f5es and Instituto Superior T\u00e9cnico, Universidade de Lisboa, Lisboa, Portugal","institution_ids":["https://openalex.org/I141596103","https://openalex.org/I4210120471"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017508063","display_name":"Jos\u00e9 M. Bioucas\u2010Dias","orcid":"https://orcid.org/0000-0002-0166-5149"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]},{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Jose M. Bioucas-Dias","raw_affiliation_strings":["Instituto de Telecomunica\u00e7\u00f5es and Instituto Superior T\u00e9cnico, Universidade de Lisboa, Lisboa, Portugal"],"raw_orcid":"https://orcid.org/0000-0002-0166-5149","affiliations":[{"raw_affiliation_string":"Instituto de Telecomunica\u00e7\u00f5es and Instituto Superior T\u00e9cnico, Universidade de Lisboa, Lisboa, Portugal","institution_ids":["https://openalex.org/I141596103","https://openalex.org/I4210120471"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026826555","display_name":"M\u00e1rio A. T. Figueiredo","orcid":"https://orcid.org/0000-0002-0970-7745"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]},{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Mario A. T. Figueiredo","raw_affiliation_strings":["Instituto de Telecomunica\u00e7\u00f5es and Instituto Superior T\u00e9cnico, Universidade de Lisboa, Lisboa, Portugal"],"raw_orcid":"https://orcid.org/0000-0002-0970-7745","affiliations":[{"raw_affiliation_string":"Instituto de Telecomunica\u00e7\u00f5es and Instituto Superior T\u00e9cnico, Universidade de Lisboa, Lisboa, Portugal","institution_ids":["https://openalex.org/I141596103","https://openalex.org/I4210120471"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.1444,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.95246005,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"5","issue":"4","first_page":"675","last_page":"686"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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":0.9995999932289124,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/deblurring","display_name":"Deblurring","score":0.8991060853004456},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.735589325428009},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5828725099563599},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.5760093927383423},{"id":"https://openalex.org/keywords/compositing","display_name":"Compositing","score":0.5753468871116638},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5611018538475037},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5111833214759827},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4883413016796112},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.4474428594112396},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41716018319129944},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.41213545203208923},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.3352586030960083},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.33055585622787476},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2653724253177643},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.13737571239471436},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13433721661567688}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.8991060853004456},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.735589325428009},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5828725099563599},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.5760093927383423},{"id":"https://openalex.org/C129315195","wikidata":"https://www.wikidata.org/wiki/Q1121886","display_name":"Compositing","level":3,"score":0.5753468871116638},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5611018538475037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5111833214759827},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4883413016796112},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.4474428594112396},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41716018319129944},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.41213545203208923},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.3352586030960083},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33055585622787476},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2653724253177643},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.13737571239471436},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13433721661567688},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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:10.1109/tci.2019.2914773","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2019.2914773","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2334-0118","2573-0436"],"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":"IEEE Transactions on Computational Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W205960364","https://openalex.org/W1500149156","https://openalex.org/W1507028917","https://openalex.org/W1829781029","https://openalex.org/W1940108662","https://openalex.org/W1969257635","https://openalex.org/W1971373099","https://openalex.org/W1978749115","https://openalex.org/W1979231253","https://openalex.org/W1985258410","https://openalex.org/W2002105278","https://openalex.org/W2028349405","https://openalex.org/W2037133587","https://openalex.org/W2038481242","https://openalex.org/W2044810215","https://openalex.org/W2045079045","https://openalex.org/W2045737896","https://openalex.org/W2056370875","https://openalex.org/W2058532290","https://openalex.org/W2087416986","https://openalex.org/W2090499847","https://openalex.org/W2096139825","https://openalex.org/W2097073572","https://openalex.org/W2100556411","https://openalex.org/W2100705753","https://openalex.org/W2105119246","https://openalex.org/W2109320267","https://openalex.org/W2114113040","https://openalex.org/W2120991191","https://openalex.org/W2121927366","https://openalex.org/W2122911643","https://openalex.org/W2123031198","https://openalex.org/W2129812098","https://openalex.org/W2138204001","https://openalex.org/W2143516773","https://openalex.org/W2160547390","https://openalex.org/W2163398818","https://openalex.org/W2164278908","https://openalex.org/W2172275395","https://openalex.org/W2238917930","https://openalex.org/W2255036043","https://openalex.org/W2379948024","https://openalex.org/W2469031810","https://openalex.org/W2508457857","https://openalex.org/W2512704900","https://openalex.org/W2573726823","https://openalex.org/W2620976957","https://openalex.org/W2626739722","https://openalex.org/W2708116392","https://openalex.org/W2740178346","https://openalex.org/W2753296010","https://openalex.org/W2765431787","https://openalex.org/W2889700716","https://openalex.org/W2889923760","https://openalex.org/W2951842026","https://openalex.org/W2962840844","https://openalex.org/W2963299521","https://openalex.org/W2963551342","https://openalex.org/W2963676935","https://openalex.org/W2963840043","https://openalex.org/W2963910448","https://openalex.org/W3099843321","https://openalex.org/W3101808677","https://openalex.org/W3102148777","https://openalex.org/W3106359998","https://openalex.org/W3123837026","https://openalex.org/W4229650096","https://openalex.org/W4292363360","https://openalex.org/W6679164396","https://openalex.org/W6711844732"],"related_works":["https://openalex.org/W2031788393","https://openalex.org/W2066613488","https://openalex.org/W791927757","https://openalex.org/W2315427282","https://openalex.org/W2182590612","https://openalex.org/W3153582293","https://openalex.org/W3207832039","https://openalex.org/W2269775642","https://openalex.org/W3080537281","https://openalex.org/W2289746762"],"abstract_inverted_index":{"Leveraging":[0],"current":[1],"state-of-the-art":[2,57],"denoisers":[3],"to":[4,32,79,87,108],"tackle":[5],"other":[6],"inverse":[7,54,112],"problems":[8,55,113],"in":[9,61,93],"imaging":[10,53,111],"is":[11],"a":[12,89],"challenging":[13],"task,":[14],"which":[15,47,83],"has":[16],"recently":[17,43],"been":[18],"the":[19,42,75,85,94,105,126,129],"topic":[20],"of":[21,77,128],"significant":[22],"research":[23,34],"effort.":[24],"In":[25],"this":[26,33],"paper,":[27],"we":[28],"present":[29],"several":[30,109],"contributions":[31],"front,":[35],"based":[36],"on":[37],"two":[38],"fundamental":[39],"building":[40],"blocks:1)":[41],"proposed":[44,106],"plug-and-play":[45],"framework,":[46],"allows":[48],"combining":[49],"iterative":[50],"algorithms":[51],"for":[52],"with":[56,125],"image":[58],"denoisers,":[59,67,82],"used":[60],"black-box":[62],"fashion;":[63],"and":[64,100,118],"2)":[65],"patch-based":[66],"using":[68],"Gaussian":[69],"mixture":[70],"models":[71],"(GMM).":[72],"We":[73,103],"exploit":[74],"adaptability":[76],"GMM":[78],"learn":[80],"class-adapted":[81],"opens":[84],"door":[86],"embedding":[88],"patch":[90],"classification":[91],"step":[92],"algorithmic":[95],"loop,":[96],"yielding":[97],"simultaneous":[98],"restoration":[99],"semantic":[101],"segmentation.":[102],"apply":[104],"approach":[107],"standard":[110],"(deblurring,":[114],"compressive":[115],"sensing":[116],"reconstruction,":[117],"super-resolution),":[119],"obtaining":[120],"results":[121],"that":[122],"are":[123],"competitive":[124],"state":[127],"art.":[130]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}