{"id":"https://openalex.org/W4253511658","doi":"https://doi.org/10.1145/3119910","title":"Wasserstein Blue Noise Sampling","display_name":"Wasserstein Blue Noise Sampling","publication_year":2017,"publication_date":"2017-10-11","ids":{"openalex":"https://openalex.org/W4253511658","doi":"https://doi.org/10.1145/3119910"},"language":"en","primary_location":{"id":"doi:10.1145/3119910","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3119910","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","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/A5050265063","display_name":"Hongxing Qin","orcid":"https://orcid.org/0000-0002-5905-0585"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]},{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongxing Qin","raw_affiliation_strings":["Chongqing Key Laboratory of Computational Intelligence, Chonqging University of Posts and Telecommunications, Shandong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Computational Intelligence, Chonqging University of Posts and Telecommunications, Shandong University","institution_ids":["https://openalex.org/I10535382","https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100419293","display_name":"Yi Chen","orcid":"https://orcid.org/0000-0003-3669-1643"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi Chen","raw_affiliation_strings":["College of Computer Science and Technology, Chonqging University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Chonqging University of Posts and Telecommunications","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102309061","display_name":"Jinlong He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinlong He","raw_affiliation_strings":["College of Computer Science and Technology, Chonqging University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Chonqging University of Posts and Telecommunications","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010714340","display_name":"Baoquan Chen","orcid":"https://orcid.org/0000-0003-4702-036X"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoquan Chen","raw_affiliation_strings":["Shandong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong University","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5412,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.77022654,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"36","issue":"5","first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.982200026512146,"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":0.982200026512146,"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":0.9811999797821045,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9711999893188477,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/estimator","display_name":"Estimator","score":0.5392270684242249},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.521589457988739},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5174006223678589},{"id":"https://openalex.org/keywords/colors-of-noise","display_name":"Colors of noise","score":0.4774509072303772},{"id":"https://openalex.org/keywords/voronoi-diagram","display_name":"Voronoi diagram","score":0.46839046478271484},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4607594609260559},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4575478434562683},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.449504017829895},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4039098620414734},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3426162302494049},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.301106333732605},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.286612868309021},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.21645262837409973},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10476654767990112}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5392270684242249},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.521589457988739},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5174006223678589},{"id":"https://openalex.org/C114996537","wikidata":"https://www.wikidata.org/wiki/Q4854529","display_name":"Colors of noise","level":3,"score":0.4774509072303772},{"id":"https://openalex.org/C24881265","wikidata":"https://www.wikidata.org/wiki/Q757267","display_name":"Voronoi diagram","level":2,"score":0.46839046478271484},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4607594609260559},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4575478434562683},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.449504017829895},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4039098620414734},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3426162302494049},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.301106333732605},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.286612868309021},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.21645262837409973},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10476654767990112},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3119910","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3119910","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.4099999964237213}],"awards":[{"id":"https://openalex.org/G5233739453","display_name":null,"funder_award_id":"61772097 and U1401252","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W385466589","https://openalex.org/W1874503286","https://openalex.org/W1963721457","https://openalex.org/W1965744692","https://openalex.org/W1968333723","https://openalex.org/W1971727169","https://openalex.org/W1975498219","https://openalex.org/W1980987098","https://openalex.org/W1984609374","https://openalex.org/W2005197983","https://openalex.org/W2006045909","https://openalex.org/W2009172320","https://openalex.org/W2010541107","https://openalex.org/W2016165013","https://openalex.org/W2020457555","https://openalex.org/W2031209910","https://openalex.org/W2036996178","https://openalex.org/W2037894060","https://openalex.org/W2049153601","https://openalex.org/W2054057322","https://openalex.org/W2057443286","https://openalex.org/W2079749971","https://openalex.org/W2089508486","https://openalex.org/W2094810132","https://openalex.org/W2099594591","https://openalex.org/W2123732640","https://openalex.org/W2132282325","https://openalex.org/W2150593711","https://openalex.org/W2153345666","https://openalex.org/W2153935912","https://openalex.org/W2167272335","https://openalex.org/W2464628725","https://openalex.org/W2554482726","https://openalex.org/W2912380660","https://openalex.org/W3137826879","https://openalex.org/W3146210588","https://openalex.org/W4253716310","https://openalex.org/W4254657132","https://openalex.org/W4301850403","https://openalex.org/W6675145695"],"related_works":["https://openalex.org/W3020555194","https://openalex.org/W2793256277","https://openalex.org/W4360958759","https://openalex.org/W2348235448","https://openalex.org/W2116218375","https://openalex.org/W2389906634","https://openalex.org/W176898926","https://openalex.org/W288156810","https://openalex.org/W1562406979","https://openalex.org/W2962797788"],"abstract_inverted_index":{"In":[0],"this":[1],"article,":[2],"we":[3],"present":[4],"a":[5,28,107],"multi-class":[6,77,104],"blue":[7,61,82],"noise":[8,62,83],"sampling":[9,105],"algorithm":[10],"by":[11,44],"throwing":[12],"samples":[13],"as":[14,91,93],"the":[15,33,41,45,70,80],"constrained":[16,29],"Wasserstein":[17],"barycenter":[18],"of":[19,60,73],"multiple":[20],"density":[21],"distributions.":[22],"Using":[23],"an":[24],"entropic":[25,52],"regularization":[26,53],"term,":[27],"transport":[30,35],"plan":[31],"in":[32,115],"optimal":[34],"problem":[36],"is":[37,85],"provided":[38],"to":[39,103],"break":[40],"partition":[42],"required":[43],"previous":[46],"Capacity-Constrained":[47],"Voronoi":[48],"Tessellation":[49],"method.":[50],"The":[51],"term":[54],"cannot":[55],"only":[56],"control":[57],"spatial":[58],"regularity":[59],"sampling,":[63],"but":[64],"it":[65],"also":[66,112],"reduces":[67],"conflicts":[68],"between":[69],"desired":[71],"centroids":[72],"Vornoi":[74],"cells":[75],"for":[76,87],"sampling.":[78],"Moreover,":[79],"adaptive":[81],"property":[84],"guaranteed":[86],"each":[88],"individual":[89],"class,":[90],"well":[92],"their":[94],"combined":[95],"class.":[96],"Our":[97],"method":[98],"can":[99],"be":[100],"easily":[101],"extended":[102],"on":[106],"point":[108],"set":[109],"surface.":[110],"We":[111],"demonstrate":[113],"applications":[114],"object":[116],"distribution":[117],"and":[118],"color":[119],"stippling.":[120]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
