{"id":"https://openalex.org/W1986931034","doi":"https://doi.org/10.1137/120881579","title":"Multiscale Texture Separation","display_name":"Multiscale Texture Separation","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W1986931034","doi":"https://doi.org/10.1137/120881579","mag":"1986931034"},"language":"en","primary_location":{"id":"doi:10.1137/120881579","is_oa":false,"landing_page_url":"https://doi.org/10.1137/120881579","pdf_url":null,"source":{"id":"https://openalex.org/S4357572","display_name":"Multiscale Modeling and Simulation","issn_l":"1540-3459","issn":["1540-3459","1540-3467"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multiscale Modeling &amp; Simulation","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2411.00894","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074086844","display_name":"J\u00e9r\u00f4me Gilles","orcid":"https://orcid.org/0000-0002-5626-8386"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"J\u00e9r\u00f4me Gilles","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5074086844"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7165,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":{"value":0.85185645,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"10","issue":"4","first_page":"1409","last_page":"1427"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994000196456909,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994000196456909,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9944000244140625,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9926000237464905,"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/separation","display_name":"Separation (statistics)","score":0.6125152111053467},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5469463467597961},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44299793243408203},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.35911500453948975},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33723872900009155},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.32486531138420105},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11364278197288513},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.05600890517234802}],"concepts":[{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.6125152111053467},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5469463467597961},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44299793243408203},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.35911500453948975},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33723872900009155},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.32486531138420105},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11364278197288513},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.05600890517234802}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1137/120881579","is_oa":false,"landing_page_url":"https://doi.org/10.1137/120881579","pdf_url":null,"source":{"id":"https://openalex.org/S4357572","display_name":"Multiscale Modeling and Simulation","issn_l":"1540-3459","issn":["1540-3459","1540-3467"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multiscale Modeling &amp; Simulation","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2411.00894","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2411.00894","pdf_url":"https://arxiv.org/pdf/2411.00894","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2411.00894","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2411.00894","pdf_url":"https://arxiv.org/pdf/2411.00894","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W1986931034.pdf"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W207373900","https://openalex.org/W1488881187","https://openalex.org/W1762506961","https://openalex.org/W1992950686","https://openalex.org/W2040378863","https://openalex.org/W2041101279","https://openalex.org/W2045559171","https://openalex.org/W2066630786","https://openalex.org/W2087430421","https://openalex.org/W2092231222","https://openalex.org/W2103559027","https://openalex.org/W2115528090","https://openalex.org/W2123606372","https://openalex.org/W2132632914","https://openalex.org/W2133542147","https://openalex.org/W2145467624","https://openalex.org/W2527655544","https://openalex.org/W4210381520"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2016187641","https://openalex.org/W2805339068","https://openalex.org/W4246450666","https://openalex.org/W4388998267","https://openalex.org/W2898370298","https://openalex.org/W2137437058","https://openalex.org/W4390401159","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"In":[0],"this":[1,66],"paper,":[2],"we":[3,63],"investigate":[4],"theoretically":[5],"the":[6,28,53,85,88],"behavior":[7],"of":[8,46,55,87],"Meyer's":[9],"image":[10],"cartoon":[11],"+":[12],"texture":[13,59,72],"decomposition":[14,29],"model.":[15],"Our":[16],"main":[17],"result":[18],"is":[19,37],"a":[20,32,43,56,69,77],"new":[21],"theorem":[22,49],"which":[23],"shows":[24],"that,":[25],"by":[26,75],"combining":[27],"model":[30],"and":[31,94],"well-chosen":[33],"Littlewood--Paley":[34,79],"filter,":[35],"it":[36],"possible":[38],"to":[39,52],"extract":[40],"almost":[41],"perfectly":[42],"certain":[44],"class":[45],"textures.":[47],"This":[48],"leads":[50],"us":[51],"construction":[54],"parameterless":[57],"multiscale":[58,71],"separation":[60,73],"algorithm.":[61],"Finally,":[62],"propose":[64],"extending":[65],"algorithm":[67,74],"into":[68],"directional":[70,78],"designing":[76],"filter":[80],"bank.":[81],"Several":[82],"experiments":[83],"show":[84],"efficiency":[86],"proposed":[89],"method":[90],"on":[91],"both":[92],"synthetic":[93],"real":[95],"images.":[96]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":2}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
