{"id":"https://openalex.org/W4376456846","doi":"https://doi.org/10.1007/978-3-031-31975-4_1","title":"Explicit Diffusion of\u00a0Gaussian Mixture Model Based Image Priors","display_name":"Explicit Diffusion of\u00a0Gaussian Mixture Model Based Image Priors","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4376456846","doi":"https://doi.org/10.1007/978-3-031-31975-4_1"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-31975-4_1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-31975-4_1","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2302.08411.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101458313","display_name":"Martin Zach","orcid":"https://orcid.org/0000-0003-1941-875X"},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Martin Zach","raw_affiliation_strings":["Graz University of Technology, 8010, Graz, Austria"],"affiliations":[{"raw_affiliation_string":"Graz University of Technology, 8010, Graz, Austria","institution_ids":["https://openalex.org/I4092182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032205387","display_name":"Thomas Pock","orcid":"https://orcid.org/0000-0001-6120-1058"},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Thomas Pock","raw_affiliation_strings":["Graz University of Technology, 8010, Graz, Austria"],"affiliations":[{"raw_affiliation_string":"Graz University of Technology, 8010, Graz, Austria","institution_ids":["https://openalex.org/I4092182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040257848","display_name":"Erich Kobler","orcid":"https://orcid.org/0000-0001-5167-4804"},"institutions":[{"id":"https://openalex.org/I2799391451","display_name":"University Hospital Bonn","ror":"https://ror.org/01xnwqx93","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I2799391451"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Erich Kobler","raw_affiliation_strings":["Universit\u00e4tsklinikum Bonn, 53127, Bonn, Germany"],"affiliations":[{"raw_affiliation_string":"Universit\u00e4tsklinikum Bonn, 53127, Bonn, Germany","institution_ids":["https://openalex.org/I2799391451"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089573258","display_name":"Antonin Chambolle","orcid":"https://orcid.org/0000-0002-9465-4659"},"institutions":[{"id":"https://openalex.org/I56435720","display_name":"Universit\u00e9 Paris Dauphine-PSL","ror":"https://ror.org/052bz7812","country_code":"FR","type":"education","lineage":["https://openalex.org/I2746051580","https://openalex.org/I56435720"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Antonin Chambolle","raw_affiliation_strings":["Universit\u00e9 Paris-Dauphine-PSL, 75775, Paris Cedex 16, France"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Paris-Dauphine-PSL, 75775, Paris Cedex 16, France","institution_ids":["https://openalex.org/I56435720"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101458313"],"corresponding_institution_ids":["https://openalex.org/I4092182"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":2.1114,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.87804672,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9860000014305115,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/orthogonality","display_name":"Orthogonality","score":0.584678590297699},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.526674211025238},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5091227889060974},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.5074748396873474},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.506967306137085},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5007658004760742},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.4956899881362915},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4918549060821533},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4868564009666443},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.47999876737594604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44143998622894287},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41152700781822205},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3897912800312042},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3249824643135071},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12788474559783936},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12226635217666626},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.118695467710495},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.10650637745857239}],"concepts":[{"id":"https://openalex.org/C17137986","wikidata":"https://www.wikidata.org/wiki/Q215067","display_name":"Orthogonality","level":2,"score":0.584678590297699},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.526674211025238},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5091227889060974},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5074748396873474},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.506967306137085},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5007658004760742},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.4956899881362915},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4918549060821533},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4868564009666443},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.47999876737594604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44143998622894287},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41152700781822205},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3897912800312042},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3249824643135071},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12788474559783936},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12226635217666626},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.118695467710495},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10650637745857239},{"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/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/978-3-031-31975-4_1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-31975-4_1","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:basepub.dauphine.psl.eu:123456789/25501","is_oa":true,"landing_page_url":"https://basepub.dauphine.psl.eu/handle/123456789/25501","pdf_url":"https://arxiv.org/pdf/2302.08411.pdf","source":{"id":"https://openalex.org/S4306401007","display_name":"Base Institutionnelle de Recherche de l'universit\u00e9 Paris-Dauphine (BIRD) (University Paris-Dauphine)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I102197404","host_organization_name":"Universit\u00e9 Paris-Sud","host_organization_lineage":["https://openalex.org/I102197404"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Communication / Conf\u00e9rence"},{"id":"pmh:oai:HAL:hal-04239963v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04239963","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"9th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2023, Universit\u00e0 di Bologna, May 2023, Santa Margherita di Pula (Cagliari), Italy. pp.3-15, ⟨10.1007/978-3-031-31975-4_1⟩","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:basepub.dauphine.psl.eu:123456789/25501","is_oa":true,"landing_page_url":"https://basepub.dauphine.psl.eu/handle/123456789/25501","pdf_url":"https://arxiv.org/pdf/2302.08411.pdf","source":{"id":"https://openalex.org/S4306401007","display_name":"Base Institutionnelle de Recherche de l'universit\u00e9 Paris-Dauphine (BIRD) (University Paris-Dauphine)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I102197404","host_organization_name":"Universit\u00e9 Paris-Sud","host_organization_lineage":["https://openalex.org/I102197404"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Communication / Conf\u00e9rence"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4376456846.pdf","grobid_xml":"https://content.openalex.org/works/W4376456846.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1981276685","https://openalex.org/W1983452151","https://openalex.org/W2013035813","https://openalex.org/W2015810892","https://openalex.org/W2024060531","https://openalex.org/W2054265914","https://openalex.org/W2086691890","https://openalex.org/W2116064496","https://openalex.org/W2121927366","https://openalex.org/W2130184048","https://openalex.org/W2163922914","https://openalex.org/W2172275395","https://openalex.org/W2212271491","https://openalex.org/W2549127690","https://openalex.org/W4235851920","https://openalex.org/W4249214388"],"related_works":["https://openalex.org/W2095582735","https://openalex.org/W2059318893","https://openalex.org/W1965698851","https://openalex.org/W834942123","https://openalex.org/W2580650124","https://openalex.org/W4386190339","https://openalex.org/W2968424575","https://openalex.org/W4232542516","https://openalex.org/W3142333283","https://openalex.org/W3122088529"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}