A Survey of Blue-Noise Sampling and Its Applications
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Article
KAUST Department
Visual Computing Center (VCC)Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Computer Science Program
Date
2015-05-05Permanent link to this record
http://hdl.handle.net/10754/564161Metadata
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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.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.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.Publisher
Springer NatureISSN
1000-90001860-4749