Low-Discrepancy Blue Noise Sampling----Institute of Automation

Low-Discrepancy Blue Noise Sampling

Dec 16, 2016Author：

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Title:

Low-Discrepancy Blue Noise Sampling

Authors: Ahmed, AGM; Perrier, H; Coeurjolly, D; Ostromoukhov, V; Guo, JW; Yan, DM; Huang, H; Deussen, O

Author Full Names: Ahmed, Abdalla G. M.; Perrier, Helene; Coeurjolly, David; Ostromoukhov, Victor; Guo, Jianwei; Yan, Dong-Ming; Huang, Hui; Deussen, Oliver

Source:

ACM TRANSACTIONS ON GRAPHICS, 35 (6):10.1145/2980179.2980218

NOV 2016

Language: English

Abstract: We present a novel technique that produces two-dimensional low-discrepancy (LD) blue noise point sets for sampling. Using one-dimensional binary van der Corput sequences, we construct two-dimensional LD point sets, and rearrange them to match a target spectral profile while preserving their low discrepancy. We store the rearrangement information in a compact lookup table that can be used to produce arbitrarily large point sets. We evaluate our technique and compare it to the state-of-the-art sampling approaches.

ISSN: 0730-0301

eISSN: 1557-7368

Article Number:

247

IDS Number:

EC9ED

Unique ID: WOS:000388446200089

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