{"id":"https://openalex.org/W4309679100","doi":"https://doi.org/10.1109/icassp49357.2023.10096585","title":"Stochastic Super-Resolution For Gaussian Textures","display_name":"Stochastic Super-Resolution For Gaussian Textures","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4309679100","doi":"https://doi.org/10.1109/icassp49357.2023.10096585"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10096585","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096585","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2303.01831","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033069751","display_name":"\u00c9mile Pierret","orcid":null},"institutions":[{"id":"https://openalex.org/I110017253","display_name":"Universit\u00e9 de Tours","ror":"https://ror.org/02wwzvj46","country_code":"FR","type":"education","lineage":["https://openalex.org/I110017253"]},{"id":"https://openalex.org/I12449238","display_name":"Universit\u00e9 d'Orl\u00e9ans","ror":"https://ror.org/014zrew76","country_code":"FR","type":"education","lineage":["https://openalex.org/I12449238"]},{"id":"https://openalex.org/I4387156285","display_name":"Institut Denis Poisson","ror":"https://ror.org/05djhd259","country_code":"FR","type":"facility","lineage":["https://openalex.org/I110017253","https://openalex.org/I12449238","https://openalex.org/I1294671590","https://openalex.org/I4387156285"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"\u00c9mile Pierret","raw_affiliation_strings":["Université de Tours, CNRS,Institut Denis Poisson – Université d’Orléans","IDP - Institut Denis Poisson (Universit\u00e9 d'Orl\u00e9ans, Coll\u00e9gium Sciences et Techniques, B\u00e2timent de math\u00e9matiques - Route de Chartres, B.P. 6759 - 45067 Orl\u00e9ans cedex 2, FRANCE ; Universit\u00e9 de Tours, UFR Sciences et Techniques, Parc de Grandmont, 37200 Tours - FRANCE - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Université de Tours, CNRS,Institut Denis Poisson – Université d’Orléans","institution_ids":["https://openalex.org/I110017253","https://openalex.org/I12449238","https://openalex.org/I4387156285"]},{"raw_affiliation_string":"IDP - Institut Denis Poisson (Universit\u00e9 d'Orl\u00e9ans, Coll\u00e9gium Sciences et Techniques, B\u00e2timent de math\u00e9matiques - Route de Chartres, B.P. 6759 - 45067 Orl\u00e9ans cedex 2, FRANCE ; Universit\u00e9 de Tours, UFR Sciences et Techniques, Parc de Grandmont, 37200 Tours - FRANCE - France)","institution_ids":["https://openalex.org/I110017253","https://openalex.org/I12449238","https://openalex.org/I4387156285"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014450150","display_name":"Bruno Galerne","orcid":null},"institutions":[{"id":"https://openalex.org/I110017253","display_name":"Universit\u00e9 de Tours","ror":"https://ror.org/02wwzvj46","country_code":"FR","type":"education","lineage":["https://openalex.org/I110017253"]},{"id":"https://openalex.org/I12449238","display_name":"Universit\u00e9 d'Orl\u00e9ans","ror":"https://ror.org/014zrew76","country_code":"FR","type":"education","lineage":["https://openalex.org/I12449238"]},{"id":"https://openalex.org/I185839726","display_name":"Institut Universitaire de France","ror":"https://ror.org/055khg266","country_code":"FR","type":"education","lineage":["https://openalex.org/I185839726"]},{"id":"https://openalex.org/I4387156285","display_name":"Institut Denis Poisson","ror":"https://ror.org/05djhd259","country_code":"FR","type":"facility","lineage":["https://openalex.org/I110017253","https://openalex.org/I12449238","https://openalex.org/I1294671590","https://openalex.org/I4387156285"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Bruno Galerne","raw_affiliation_strings":["Université de Tours, CNRS,Institut Denis Poisson – Université d’Orléans","IUF - Institut Universitaire de France (Maison des Universit\u00e9s 103 Boulevard Saint-Michel 75005 Paris - France)","IDP - Institut Denis Poisson (Universit\u00e9 d'Orl\u00e9ans, Coll\u00e9gium Sciences et Techniques, B\u00e2timent de math\u00e9matiques - Route de Chartres, B.P. 6759 - 45067 Orl\u00e9ans cedex 2, FRANCE ; Universit\u00e9 de Tours, UFR Sciences et Techniques, Parc de Grandmont, 37200 Tours - FRANCE - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Université de Tours, CNRS,Institut Denis Poisson – Université d’Orléans","institution_ids":["https://openalex.org/I110017253","https://openalex.org/I12449238","https://openalex.org/I4387156285"]},{"raw_affiliation_string":"IUF - Institut Universitaire de France (Maison des Universit\u00e9s 103 Boulevard Saint-Michel 75005 Paris - France)","institution_ids":["https://openalex.org/I185839726"]},{"raw_affiliation_string":"IDP - Institut Denis Poisson (Universit\u00e9 d'Orl\u00e9ans, Coll\u00e9gium Sciences et Techniques, B\u00e2timent de math\u00e9matiques - Route de Chartres, B.P. 6759 - 45067 Orl\u00e9ans cedex 2, FRANCE ; Universit\u00e9 de Tours, UFR Sciences et Techniques, Parc de Grandmont, 37200 Tours - FRANCE - France)","institution_ids":["https://openalex.org/I110017253","https://openalex.org/I12449238","https://openalex.org/I4387156285"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9957000017166138,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9940999746322632,"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/gaussian","display_name":"Gaussian","score":0.6691104173660278},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6109132766723633},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.5253854393959045},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5102870464324951},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.48929211497306824},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4741520285606384},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.47405287623405457},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.4272534251213074},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.41243356466293335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39238664507865906},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2886577844619751},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07593446969985962},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.06787103414535522}],"concepts":[{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6691104173660278},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6109132766723633},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.5253854393959045},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5102870464324951},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.48929211497306824},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4741520285606384},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.47405287623405457},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.4272534251213074},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.41243356466293335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39238664507865906},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2886577844619751},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07593446969985962},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.06787103414535522},{"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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp49357.2023.10096585","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096585","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2303.01831","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2303.01831","pdf_url":"https://arxiv.org/pdf/2303.01831","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:HAL:hal-03863009v2","is_oa":true,"landing_page_url":"https://hal.science/hal-03863009","pdf_url":"https://hal.science/hal-03863009/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE; IEEE, pp.1-5, 2024, ⟨10.1109/ICASSP49357.2023.10096585⟩","raw_type":"Proceedings"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2303.01831","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2303.01831","pdf_url":"https://arxiv.org/pdf/2303.01831","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7081641094","display_name":"Models, Inference and Synthesis for Texture In Color","funder_award_id":"ANR-19-CE40-0005","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G7619895121","display_name":null,"funder_award_id":"ANR-19-CE40-005","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G8318455765","display_name":null,"funder_award_id":"ANR-19","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4309679100.pdf"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W2040172205","https://openalex.org/W2133665775","https://openalex.org/W2140207570","https://openalex.org/W2151354735","https://openalex.org/W2331128040","https://openalex.org/W2399827316","https://openalex.org/W2537458122","https://openalex.org/W2559655401","https://openalex.org/W2698133761","https://openalex.org/W2747329762","https://openalex.org/W2891158090","https://openalex.org/W2913954081","https://openalex.org/W2962785568","https://openalex.org/W2963073614","https://openalex.org/W2963470893","https://openalex.org/W3035444966","https://openalex.org/W3095495550","https://openalex.org/W3155072588","https://openalex.org/W3198284549","https://openalex.org/W3202382655","https://openalex.org/W4212774754","https://openalex.org/W4295364424","https://openalex.org/W6637373629","https://openalex.org/W6687214662","https://openalex.org/W6752910514","https://openalex.org/W6765775151","https://openalex.org/W6779823529"],"related_works":["https://openalex.org/W3216672236","https://openalex.org/W4250542427","https://openalex.org/W2216090681","https://openalex.org/W2080196432","https://openalex.org/W2108844457","https://openalex.org/W3046839381","https://openalex.org/W1982928226","https://openalex.org/W3028306740","https://openalex.org/W2510458418","https://openalex.org/W2321705976"],"abstract_inverted_index":{"Super-resolution":[0],"(SR)":[1],"is":[2,43,49],"an":[3,72],"ill-posed":[4],"inverse":[5],"problem":[6,54],"which":[7],"consists":[8],"in":[9,104],"proposing":[10],"high-resolution":[11],"images":[12],"consistent":[13],"with":[14,28,91],"a":[15,30,50,92,120],"given":[16],"low-resolution":[17],"one.":[18],"While":[19],"most":[20],"SR":[21,26,36,48,90],"algorithms":[22],"are":[23],"deterministic,":[24],"stochastic":[25,31,47],"deals":[27],"designing":[29],"sampler":[32],"generating":[33],"any":[34],"realistic":[35],"solution.":[37],"The":[38],"goal":[39],"of":[40,86,106,114,123],"this":[41],"paper":[42],"to":[44,57,97,111],"show":[45],"that":[46],"well-posed":[51],"and":[52,65,108],"solvable":[53],"when":[55],"restricting":[56],"Gaussian":[58,62],"stationary":[59,98],"textures.":[60],"Using":[61],"conditional":[63],"sampling":[64],"exploiting":[66],"the":[67,83,87,115],"stationarity":[68],"assumption,":[69],"we":[70],"propose":[71],"efficient":[73],"algorithm":[74],"based":[75],"on":[76],"fast":[77],"Fourier":[78],"transform.":[79],"We":[80],"also":[81],"demonstrate":[82],"practical":[84],"relevance":[85],"approach":[88,101],"for":[89,119],"reference":[93],"image.":[94],"Although":[95],"limited":[96],"microtextures,":[99],"our":[100],"compares":[102],"favorably":[103],"terms":[105],"speed":[107],"visual":[109],"quality":[110],"some":[112],"state":[113],"art":[116],"methods":[117],"designed":[118],"larger":[121],"class":[122],"images.":[124]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-26T07:53:14.480251","created_date":"2025-10-10T00:00:00"}