A Survey of Blue-Noise Sampling and Its Applications

Dong Ming Yan, Jian Wei Guo, Bin Wang, Xiao Peng Zhang, Peter Wonka

Research output: Contribution to journalArticlepeer-review

49 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)439-452
Number of pages14
JournalJournal of Computer Science and Technology
Issue number3
StatePublished - May 1 2015


  • Lloyd relaxation
  • Poisson-disk sampling
  • blue-noise sampling
  • remeshing
  • rendering

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Hardware and Architecture
  • Computer Science Applications
  • Computational Theory and Mathematics


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