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May 2, 2014 · I altered (butchered) your source to produce a plot of the noise, with blue being lowest, & yellow highest values. There seem to be distinct lines on the image, most noticeably at the 'mid points' but to a lesser extent, each 'child' midpoint. Is there any way to reduce or eradicate those discontinuities?
Feb 13, 2024 · Handling noise is essential to precise modeling and forecasting. Its effects are lessened by methods including feature selection, data cleansing, and strong algorithms. In the end, noise reduction improves machine learning models' efficacy.
Nov 16, 2013 · I am looking for a Gaussian Noise generator that takes in 2 parameters: mean and variance, and then generates the Gaussian Noise. During the searching, I find quite a number of such generators for images. However, what I want is a generic generator. I wish to do something like: myGaussianNoiseGenerator = new GaussianNoiseGenerator(mean, variance);
- Logical Overview
- Code Implementation
- Working with Octaves
- Conclusion
NOTE: I would like to preface this section by mentioning that a lot of it is taken from this wonderful article by Matt Zucker. However, that article is based on the original Perlin Noise algorithm written in the early 1980s. In this post I will be using the Improved Perlin Noise Algorithm written in 2002. Thus, there are some key differences betwee...
Once again, this code is written in C#. The code is a slightly modified version of Ken Perlin's Java Implementation. It was modified for additional clarity and deobfuscation, as well as adding the ability to repeat (tile) noise. The code is of course entirely free to use (considering I didn't really write it in the first place - Ken Perlin did!).
One final thing I would like to discuss is how to process perlin noise to look more natural. Even though perlin noise does provide a certain degree of natural behavior, it doesn’t fully express the irregularities that one might expect in nature. For example, a terrain has large, sweeping features such as mountains, smaller features such as hills an...
Finally, that's it! We can now make noise. Once again, you can find the full source code here. If you have any questions, please ask in the comments section below.
This project is an implementation of the popular Perlin noise algorithm described by Ken Perlin. This projects also features generators to populate grids of noise in 1 and 2 dimensions that can be updated over time.
Noise generation library for Java, based on the libnoise C++ library. It is used to generate coherent noise, a type of smoothly-changing noise. It can also generate Perlin noise, ridged multifractal noise, and other types of coherent noise.
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noise () Description. Returns the Perlin noise value at specified coordinates. Perlin noise is a random sequence generator producing a more natural, harmonic succession of numbers than that of the standard random () function.
