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https://github.com/dcoeurjo/LowDiscBlueNoise


https://github.com/dcoeurjo/LowDiscBlueNoise

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# Low-Discrepancy Blue Noise Sampling

![C/C++ CI](https://github.com/dcoeurjo/LowDiscBlueNoise/workflows/C/C++%20CI/badge.svg)

**Super fast Low-discrepancy + Blue noise 2D sampler.**

Single C++ header with no dependencies to generate 2D point sets which have both [low discrepancy](https://en.wikipedia.org/wiki/Low-discrepancy_sequence) and Blue-Noise properties. This code is a c++ refactoring of the implementation given by the following paper ([Project page](https://projet.liris.cnrs.fr/ldbn/)):

Low-Discrepancy Blue Noise Sampling.
Abdalla G.M. Ahmed, Hélène Perrier, David Coeurjolly, Victor Ostromoukhov, Jianwei Guo, Dong-Ming Yan, Hui HUANG, Oliver Deussen.
ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia), 35(6), 2016.

The current code can generate point sets for the Blue-noise and Step target spectra in a very efficient way (~2.14ms for 1M points! , cf the paper for more details).

![](BN4K.png)

## License

```
/*
* Reference-matching code for LDBN in the paper:
* Ahmed, Perrier, Coeurjolly, Ostromoukhov, Guo, Yan, Huang, and Deussen
* Low-Discrepancy Blue Noise Sampling
* SIGGRAPH Asia 2016
*
* Coded by Abdalla G. M. Ahmed, 2016-09-19.
* Copyright (c) 2016, Abdalla G. M. Ahmed
* All rights reserved.
*
* Refactoring by David Coeurjolly 2018-11-22
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* 1. Redistributions of source code must retain the above copyright notice, this
* list of conditions and the following disclaimer.
* 2. Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
* ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
* (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
* ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
* SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*
* The views and conclusions contained in the software and documentation are those
* of the authors and should not be interpreted as representing official policies,
* either expressed or implied, of the LDBN project.
*/
```