OpenSimplexNoise higher detail level

Question

I'm new to world generation and the algorithms which are used for them, so I hope someone can give me some usefull explanation or code or both or links to some resources I missed while searching for a solution.

How can I get a higher detail level with OpenSimplexNoise?

I know in some algorithms like PerlinNoise can it be done with frequency and adding multiply octaves together. So how can I achieve such a thing with OpenSimplexNoise?

Here is what I've already got:

    private static final int WIDTH = 512;
private static final int HEIGHT = 512;
private static final double FEATURE_SIZE = 64;

public static void main(String[] args)
    throws IOException {

    OpenSimplexNoise noise = new OpenSimplexNoise(1233313l);
    BufferedImage image = new BufferedImage(WIDTH, HEIGHT, BufferedImage.TYPE_BYTE_INDEXED);
    for (int y = 0; y < HEIGHT; y++)
    {
        for (int x = 0; x < WIDTH; x++)
        {
            double value = noise.eval(x / FEATURE_SIZE, y / FEATURE_SIZE);
            int rgb = 0x010101 * (int)((value + 1) * 127.5);
            image.setRGB(x, y, rgb);
        }
    }
    ImageIO.write(image, "png", new File("noise1.bmp"));
}

And how can I achieve it to have more flat results for forests etc.?

Answer 1

OpenSimplexNoise不直接提供您所描述的功能，因此您需要自己提供。基本上你反复产生一层噪音＆amp;将其添加到最终结果中。更具体地说：

• 八度音程的数量由您循环的次数控制。
• 通过将给定层的值乘以某个量来控制层的幅度。振幅通常来自八度数;最常见的示例是使用1/(2^n)，其中n是当前八度音阶的编号。
• 可以通过调整采样间隔来控制频率。关于OpenSimplexNoise，您可以通过将x y z参数乘以某个数量来实现此目的。同样，这通常来自八度音程和数字。最常见的例子是2^n。

调整八度音阶数，幅度和幅度频率值更像是一门艺术，而不是科学和技术。取决于你的情况。尝试一下＆amp;研究其他人用来找到适合您项目的内容。我使用标准幅度和频率的6个八度音程得到了很好的结果。频率如上所述。