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Blue noise through optimal transport

Published: 01 November 2012 Publication History

Abstract

We present a fast, scalable algorithm to generate high-quality blue noise point distributions of arbitrary density functions. At its core is a novel formulation of the recently-introduced concept of capacity-constrained Voronoi tessellation as an optimal transport problem. This insight leads to a continuous formulation able to enforce the capacity constraints exactly, unlike previous work. We exploit the variational nature of this formulation to design an efficient optimization technique of point distributions via constrained minimization in the space of power diagrams. Our mathematical, algorithmic, and practical contributions lead to high-quality blue noise point sets with improved spectral and spatial properties.

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Published In

cover image ACM Transactions on Graphics
ACM Transactions on Graphics  Volume 31, Issue 6
November 2012
794 pages
ISSN:0730-0301
EISSN:1557-7368
DOI:10.1145/2366145
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 01 November 2012
Published in TOG Volume 31, Issue 6

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Author Tags

  1. blue noise
  2. capacity constraints
  3. power diagram

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  • (2024)CWF: Consolidating Weak Features in High-quality Mesh SimplificationACM Transactions on Graphics10.1145/365815943:4(1-14)Online publication date: 19-Jul-2024
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