public static void generatePerlinImages() {
Random random = new Random();
// Create a seeded noise generator
Noise n = new Noise(random.nextInt());
// Prepare two arrays to fill with ARGB values
// The images' size will be 800 by 600 pixels
int[][] argbColor = new int[800][600];
int[][] argbGreyscale = new int[800][600];
for (int y = 0; y < argbColor.length; y++) {
for (int x = 0; x < argbColor[0].length; x++) {
// Generate a noise value for the coordinate (x,y)
float noiseValue = 0;
noiseValue += scale256(n.interpolatedNoise(x * 0.01f, y * 0.01f));
noiseValue += scale256(n.interpolatedNoise(x * 0.02f, y * 0.02f));
noiseValue += scale256(n.interpolatedNoise(x * 0.04f, y * 0.04f));
noiseValue += scale256(n.interpolatedNoise(x * 0.08f, y * 0.08f));
int roundedValue = Math.round(noiseValue / 4f);
// Generate a color and a greyscale ARGB value based on that noise value
int colorValue = getARGBColor(roundedValue);
int greyscaleValue = getARGBGreyscale(roundedValue);
argbColor[y][x] = colorValue;
argbGreyscale[y][x] = greyscaleValue;
}
}
// Convert the arrays to buffered PNG-Images
BufferedImage colorImage = ImageExporter.convertRGBArray(argbColor);
BufferedImage greyscaleImage = ImageExporter.convertRGBArray(argbGreyscale);
// Save those PNG-Images to the file system
ImageExporter.saveAsFile("perlinColor.png", colorImage);
ImageExporter.saveAsFile("perlinGreyscale.png", greyscaleImage);
}
protected void transformInverse(int x, int y, float[] out) {
float nx = m00 * x + m01 * y;
float ny = m10 * x + m11 * y;
nx /= scale;
ny /= scale * stretch;
if (turbulence == 1.0f) {
out[0] = x + amount * Noise.noise3(nx + 0.5f, ny, time);
out[1] = y + amount * Noise.noise3(nx, ny + 0.5f, time);
} else {
out[0] = x + amount * Noise.turbulence3(nx + 0.5f, ny, turbulence, time);
out[1] = y + amount * Noise.turbulence3(nx, ny + 0.5f, turbulence, time);
}
}
/**
* Returns Fractional Brownian Motion at the given position.
*
* @param x Position on the x-axis
* @param y Position on the y-axis
* @return The noise value in the range of the base noise function
*/
@Override
public float noise(float x, float y) {
float result = 0.0f;
float workingX = x;
float workingY = y;
for (int i = 0; i < getOctaves(); i++) {
result += other.noise(workingX, workingY) * spectralWeights[i];
workingX *= getLacunarity();
workingY *= getLacunarity();
}
return result * scale;
}
@Override
public double compute(double x, double z) {
return noise1.compute(x + noise2.compute(x, z), z);
}
private float checkCube(float x, float y, int cubeX, int cubeY, Point[] results) {
int numPoints;
random.setSeed(571 * cubeX + 23 * cubeY);
switch (gridType) {
case RANDOM:
default:
numPoints = probabilities[random.nextInt() & 0x1fff];
break;
case SQUARE:
numPoints = 1;
break;
case HEXAGONAL:
numPoints = 1;
break;
case OCTAGONAL:
numPoints = 2;
break;
case TRIANGULAR:
numPoints = 2;
break;
}
for (int i = 0; i < numPoints; i++) {
float px = 0, py = 0;
float weight = 1.0f;
switch (gridType) {
case RANDOM:
px = random.nextFloat();
py = random.nextFloat();
break;
case SQUARE:
px = py = 0.5f;
if (randomness != 0) {
px += randomness * (random.nextFloat() - 0.5);
py += randomness * (random.nextFloat() - 0.5);
}
break;
case HEXAGONAL:
if ((cubeX & 1) == 0) {
px = 0.75f;
py = 0;
} else {
px = 0.75f;
py = 0.5f;
}
if (randomness != 0) {
px += randomness * Noise.noise2(271 * (cubeX + px), 271 * (cubeY + py));
py += randomness * Noise.noise2(271 * (cubeX + px) + 89, 271 * (cubeY + py) + 137);
}
break;
case OCTAGONAL:
switch (i) {
case 0:
px = 0.207f;
py = 0.207f;
break;
case 1:
px = 0.707f;
py = 0.707f;
weight = 1.6f;
break;
}
if (randomness != 0) {
px += randomness * Noise.noise2(271 * (cubeX + px), 271 * (cubeY + py));
py += randomness * Noise.noise2(271 * (cubeX + px) + 89, 271 * (cubeY + py) + 137);
}
break;
case TRIANGULAR:
if ((cubeY & 1) == 0) {
if (i == 0) {
px = 0.25f;
py = 0.35f;
} else {
px = 0.75f;
py = 0.65f;
}
} else {
if (i == 0) {
px = 0.75f;
py = 0.35f;
} else {
px = 0.25f;
py = 0.65f;
}
}
if (randomness != 0) {
px += randomness * Noise.noise2(271 * (cubeX + px), 271 * (cubeY + py));
py += randomness * Noise.noise2(271 * (cubeX + px) + 89, 271 * (cubeY + py) + 137);
}
break;
}
float dx = (float) Math.abs(x - px);
float dy = (float) Math.abs(y - py);
float d;
dx *= weight;
dy *= weight;
if (distancePower == 1.0f) d = dx + dy;
else if (distancePower == 2.0f) d = (float) Math.sqrt(dx * dx + dy * dy);
else
d =
(float)
Math.pow(
(float) Math.pow(dx, distancePower) + (float) Math.pow(dy, distancePower),
1 / distancePower);
// Insertion sort the long way round to speed it up a bit
if (d < results[0].distance) {
Point p = results[2];
results[2] = results[1];
results[1] = results[0];
results[0] = p;
p.distance = d;
p.dx = dx;
p.dy = dy;
p.x = cubeX + px;
p.y = cubeY + py;
} else if (d < results[1].distance) {
Point p = results[2];
results[2] = results[1];
results[1] = p;
p.distance = d;
p.dx = dx;
p.dy = dy;
p.x = cubeX + px;
p.y = cubeY + py;
} else if (d < results[2].distance) {
Point p = results[2];
p.distance = d;
p.dx = dx;
p.dy = dy;
p.x = cubeX + px;
p.y = cubeY + py;
}
}
return results[2].distance;
}
private int displacementMap(int x, int y) {
return PixelUtils.clamp((int) (127 * (1 + Noise.noise2(x / xScale, y / xScale))));
}