{"id":"https://openalex.org/W2004105474","doi":"https://doi.org/10.1145/2487228.2487233","title":"Blue noise sampling with controlled aliasing","display_name":"Blue noise sampling with controlled aliasing","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2004105474","doi":"https://doi.org/10.1145/2487228.2487233","mag":"2004105474"},"language":"en","primary_location":{"id":"doi:10.1145/2487228.2487233","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2487228.2487233","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":true,"oa_status":"green","oa_url":"https://kops.uni-konstanz.de/server/api/core/bitstreams/f4c87895-3017-4414-b811-7ad122a9b522/content","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032213499","display_name":"Daniel W. Heck","orcid":"https://orcid.org/0000-0002-6302-9252"},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Daniel Heck","raw_affiliation_strings":["University of Konstanz, Germany","[University of Konstanz, Germany]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]},{"raw_affiliation_string":"[University of Konstanz, Germany]","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056449038","display_name":"Thomas Schl\u00f6mer","orcid":null},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Schl\u00f6mer","raw_affiliation_strings":["University of Konstanz, Germany","[University of Konstanz, Germany]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]},{"raw_affiliation_string":"[University of Konstanz, Germany]","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036489223","display_name":"Oliver Deu\u00dfen","orcid":"https://orcid.org/0000-0001-5803-2185"},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Oliver Deussen","raw_affiliation_strings":["University of Konstanz, Germany","[University of Konstanz, Germany]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]},{"raw_affiliation_string":"[University of Konstanz, Germany]","institution_ids":["https://openalex.org/I189712700"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I189712700"],"apc_list":null,"apc_paid":null,"fwci":5.7117,"has_fulltext":true,"cited_by_count":66,"citation_normalized_percentile":{"value":0.96551968,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"32","issue":"3","first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9987000226974487,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9987000226974487,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9843000173568726,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9832000136375427,"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/aliasing","display_name":"Aliasing","score":0.8093307018280029},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.770897388458252},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.680693507194519},{"id":"https://openalex.org/keywords/spectral-density","display_name":"Spectral density","score":0.5197529196739197},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5042158365249634},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4990544319152832},{"id":"https://openalex.org/keywords/colors-of-noise","display_name":"Colors of noise","score":0.483163058757782},{"id":"https://openalex.org/keywords/noise-power","display_name":"Noise power","score":0.48304420709609985},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.46858829259872437},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46211153268814087},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3005621135234833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26646894216537476},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24345797300338745},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.23866090178489685},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.16588440537452698},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15825513005256653},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1398865282535553},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.12412029504776001},{"id":"https://openalex.org/keywords/undersampling","display_name":"Undersampling","score":0.0776900053024292}],"concepts":[{"id":"https://openalex.org/C4069607","wikidata":"https://www.wikidata.org/wiki/Q868732","display_name":"Aliasing","level":3,"score":0.8093307018280029},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.770897388458252},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.680693507194519},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.5197529196739197},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5042158365249634},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4990544319152832},{"id":"https://openalex.org/C114996537","wikidata":"https://www.wikidata.org/wiki/Q4854529","display_name":"Colors of noise","level":3,"score":0.483163058757782},{"id":"https://openalex.org/C203234222","wikidata":"https://www.wikidata.org/wiki/Q2133519","display_name":"Noise power","level":3,"score":0.48304420709609985},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46858829259872437},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46211153268814087},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3005621135234833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26646894216537476},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24345797300338745},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.23866090178489685},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.16588440537452698},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15825513005256653},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1398865282535553},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.12412029504776001},{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.0776900053024292},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2487228.2487233","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2487228.2487233","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"},{"id":"pmh:oai:kops.uni-konstanz.de:123456789/24358","is_oa":true,"landing_page_url":"http://nbn-resolving.de/urn:nbn:de:bsz:352-243584","pdf_url":"https://kops.uni-konstanz.de/server/api/core/bitstreams/f4c87895-3017-4414-b811-7ad122a9b522/content","source":{"id":"https://openalex.org/S4306401487","display_name":"KOPS (University of Konstanz)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I189712700","host_organization_name":"University of Konstanz","host_organization_lineage":["https://openalex.org/I189712700"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ACM Transactions on Graphics. 2013, 32(3), S. 1-12. ISSN 0730-0301. eISSN 1557-7368. Verf\u00fcgbar unter: doi: 10.1145/2487228.2487233","raw_type":"doc-type:article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.640.400","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.640.400","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.inf.uni-konstanz.de/gk/pubsys/publishedFiles/HeScDe13.pdf","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:kops.uni-konstanz.de:123456789/24358","is_oa":true,"landing_page_url":"http://nbn-resolving.de/urn:nbn:de:bsz:352-243584","pdf_url":"https://kops.uni-konstanz.de/server/api/core/bitstreams/f4c87895-3017-4414-b811-7ad122a9b522/content","source":{"id":"https://openalex.org/S4306401487","display_name":"KOPS (University of Konstanz)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I189712700","host_organization_name":"University of Konstanz","host_organization_lineage":["https://openalex.org/I189712700"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ACM Transactions on Graphics. 2013, 32(3), S. 1-12. ISSN 0730-0301. eISSN 1557-7368. Verf\u00fcgbar unter: doi: 10.1145/2487228.2487233","raw_type":"doc-type:article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2004105474.pdf","grobid_xml":"https://content.openalex.org/works/W2004105474.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W7132561","https://openalex.org/W174441044","https://openalex.org/W1510924284","https://openalex.org/W1533333879","https://openalex.org/W1546636673","https://openalex.org/W1967775161","https://openalex.org/W1969854449","https://openalex.org/W1971727169","https://openalex.org/W1980376149","https://openalex.org/W1984609374","https://openalex.org/W2005197983","https://openalex.org/W2006045909","https://openalex.org/W2010541107","https://openalex.org/W2021842767","https://openalex.org/W2057601394","https://openalex.org/W2062449821","https://openalex.org/W2079749971","https://openalex.org/W2086127053","https://openalex.org/W2094810132","https://openalex.org/W2101463275","https://openalex.org/W2102493018","https://openalex.org/W2105672294","https://openalex.org/W2117008804","https://openalex.org/W2118805711","https://openalex.org/W2132282325","https://openalex.org/W2149847160","https://openalex.org/W2150575530","https://openalex.org/W2150593711","https://openalex.org/W2153935912","https://openalex.org/W2316023651","https://openalex.org/W2484039423","https://openalex.org/W2616163540","https://openalex.org/W2990774009","https://openalex.org/W3136661314","https://openalex.org/W3137826879","https://openalex.org/W4232317953","https://openalex.org/W4232416900","https://openalex.org/W6738272816"],"related_works":["https://openalex.org/W2996441418","https://openalex.org/W4286614785","https://openalex.org/W3084192357","https://openalex.org/W2387422968","https://openalex.org/W152796695","https://openalex.org/W4254566645","https://openalex.org/W2131502229","https://openalex.org/W2942503963","https://openalex.org/W2380451605","https://openalex.org/W4238062003"],"abstract_inverted_index":{"In":[0],"this":[1],"article":[2],"we":[3,45,121],"revisit":[4],"the":[5,16,20,25,30,42,62,86,90,100,116],"problem":[6],"of":[7,19,33,50,64,89],"blue":[8,51,55,70],"noise":[9,52,56,71],"sampling":[10,21,35,126,134,141],"with":[11,57,72],"a":[12,34,58,65,73,81,95],"strong":[13],"focus":[14],"on":[15],"spectral":[17],"properties":[18],"patterns.":[22],"Starting":[23],"from":[24],"observation":[26],"that":[27,123],"oscillations":[28,78],"in":[29,41,61],"power":[31,59,92,107],"spectrum":[32,60,93],"pattern":[36],"can":[37,109],"cause":[38],"aliasing":[39,131],"artifacts":[40],"resulting":[43],"images,":[44],"synthesize":[46],"two":[47],"new":[48],"types":[49],"patterns:":[53],"step":[54,66],"form":[63],"function":[67,103],"and":[68,76,113,136],"single-peak":[69],"wide":[74],"zero-region":[75],"no":[77],"except":[79],"for":[80],"single":[82],"peak.":[83],"We":[84],"study":[85],"mathematical":[87],"relationship":[88],"radial":[91,101],"to":[94,104,114],"spatial":[96],"statistic":[97],"known":[98],"as":[99],"distribution":[102],"determine":[105],"which":[106],"spectra":[108],"actually":[110],"be":[111],"realized":[112],"construct":[115],"corresponding":[117],"point":[118],"sets.":[119],"Finally,":[120],"show":[122],"both":[124],"proposed":[125],"patterns":[127],"effectively":[128],"prevent":[129],"structured":[130],"at":[132,139],"low":[133],"rates":[135],"perform":[137],"well":[138],"high":[140],"rates.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
