A Survey of Blue-Noise Sampling and Its Applications

Handle URI:
http://hdl.handle.net/10754/564161
Title:
A Survey of Blue-Noise Sampling and Its Applications
Authors:
Yan, Dongming ( 0000-0003-2209-2404 ) ; Guo, Jian-Wei; Wang, Bin; Zhang, Xiao-Peng; Wonka, Peter ( 0000-0003-0627-9746 )
Abstract:
In this paper, we survey recent approaches to blue-noise sampling and discuss their beneficial applications. We discuss the sampling algorithms that use points as sampling primitives and classify the sampling algorithms based on various aspects, e.g., the sampling domain and the type of algorithm. We demonstrate several well-known applications that can be improved by recent blue-noise sampling techniques, as well as some new applications such as dynamic sampling and blue-noise remeshing.
KAUST Department:
Visual Computing Center (VCC); Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Computer Science Program
Citation:
Yan D-M, Guo J-W, Wang B, Zhang X-P, Wonka P (2015) A Survey of Blue-Noise Sampling and Its Applications. Journal of Computer Science and Technology 30: 439–452. Available: http://dx.doi.org/10.1007/s11390-015-1535-0.
Publisher:
Springer Nature
Journal:
Journal of Computer Science and Technology
Issue Date:
5-May-2015
DOI:
10.1007/s11390-015-1535-0
Type:
Article
ISSN:
1000-9000; 1860-4749
Sponsors:
This work was partially supported by the National Natural Science Foundation of China under Grant Nos. 61372168, 61373071, 61372190, and 61331018, the Scientific Research Foundation for the Returned Overseas Chinese Scholars of State Education Ministry of China, the Visual Computing Center at King Abudullah University of Science and Technology (KAUST), and the Open Funding Project of the State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, under Grant Nos. BUAA-VR-15KF-06 and BUAA-VR-14KF-10.
Appears in Collections:
Articles; Computer Science Program; Visual Computing Center (VCC); Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorYan, Dongmingen
dc.contributor.authorGuo, Jian-Weien
dc.contributor.authorWang, Binen
dc.contributor.authorZhang, Xiao-Pengen
dc.contributor.authorWonka, Peteren
dc.date.accessioned2015-08-03T12:34:37Zen
dc.date.available2015-08-03T12:34:37Zen
dc.date.issued2015-05-05en
dc.identifier.citationYan D-M, Guo J-W, Wang B, Zhang X-P, Wonka P (2015) A Survey of Blue-Noise Sampling and Its Applications. Journal of Computer Science and Technology 30: 439–452. Available: http://dx.doi.org/10.1007/s11390-015-1535-0.en
dc.identifier.issn1000-9000en
dc.identifier.issn1860-4749en
dc.identifier.doi10.1007/s11390-015-1535-0en
dc.identifier.urihttp://hdl.handle.net/10754/564161en
dc.description.abstractIn this paper, we survey recent approaches to blue-noise sampling and discuss their beneficial applications. We discuss the sampling algorithms that use points as sampling primitives and classify the sampling algorithms based on various aspects, e.g., the sampling domain and the type of algorithm. We demonstrate several well-known applications that can be improved by recent blue-noise sampling techniques, as well as some new applications such as dynamic sampling and blue-noise remeshing.en
dc.description.sponsorshipThis work was partially supported by the National Natural Science Foundation of China under Grant Nos. 61372168, 61373071, 61372190, and 61331018, the Scientific Research Foundation for the Returned Overseas Chinese Scholars of State Education Ministry of China, the Visual Computing Center at King Abudullah University of Science and Technology (KAUST), and the Open Funding Project of the State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, under Grant Nos. BUAA-VR-15KF-06 and BUAA-VR-14KF-10.en
dc.publisherSpringer Natureen
dc.subjectblue-noise samplingen
dc.subjectLloyd relaxationen
dc.subjectPoisson-disk samplingen
dc.subjectremeshingen
dc.subjectrenderingen
dc.titleA Survey of Blue-Noise Sampling and Its Applicationsen
dc.typeArticleen
dc.contributor.departmentVisual Computing Center (VCC)en
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentComputer Science Programen
dc.identifier.journalJournal of Computer Science and Technologyen
dc.eprint.versionPost-printen
dc.contributor.institutionNational Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of SciencesBeijing, Chinaen
dc.contributor.institutionSchool of Software, Tsinghua UniversityBeijing, Chinaen
dc.contributor.institutionDepartment of Computer Science and Engineering, Arizona State UniversityTempe, AZ, United Statesen
kaust.authorYan, Dongmingen
kaust.authorWonka, Peteren
All Items in KAUST are protected by copyright, with all rights reserved, unless otherwise indicated.