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Journal articles
Low-Discrepancy Blue Noise Sampling
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 tech- nique and compare it to the state-of-the-art sampling approaches.
Cited literature [33 references]
https://hal.archives-ouvertes.fr/hal-01372542
Contributor : David Coeurjolly <>
Submitted on : Tuesday, September 27, 2016 - 4:59:12 PM
Last modification on : Wednesday, July 8, 2020 - 12:43:50 PM
Document(s) archivé(s) le : Wednesday, December 28, 2016 - 1:43:45 PM
Contributor : David Coeurjolly <>
Submitted on : Tuesday, September 27, 2016 - 4:59:12 PM
Last modification on : Wednesday, July 8, 2020 - 12:43:50 PM
Document(s) archivé(s) le : Wednesday, December 28, 2016 - 1:43:45 PM
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