added some more comments

Others/PerlinNoise.java

@@ -1,20 +1,32 @@
 import java.util.Random;
 import java.util.Scanner;
 
+/**
+ * For detailed info and implementation see: <a href="http://devmag.org.za/2009/04/25/perlin-noise/">Perlin-Noise</a>
+ */
 public class PerlinNoise {
+    /**
+     * @param width width of noise array
+     * @param height height of noise array
+     * @param octaveCount numbers of layers used for blending noise
+     * @param persistence value of impact each layer get while blending
+     * @param seed used for randomizer
+     * @return float array containing calculated "Perlin-Noise" values
+     */
     static float[][] generatePerlinNoise(int width, int height, int octaveCount, float persistence, long seed) {
         final float[][] base = new float[width][height];
         final float[][] perlinNoise = new float[width][height];
         final float[][][] noiseLayers = new float[octaveCount][][];
 
         Random random = new Random(seed);
+        //fill base array with random values as base for noise
         for(int x = 0; x < width; x++) {
             for(int y = 0; y < height; y++) {
                 base[x][y] = random.nextFloat();
             }
         }
 
-        //calculate octaves
+        //calculate octaves with different roughness
         for(int octave = 0; octave < octaveCount; octave++) {
             noiseLayers[octave] = generatePerlinNoiseLayer(base, width, height, octave);
         }
@@ -22,19 +34,21 @@ public class PerlinNoise {
         float amplitude = 1f;
         float totalAmplitude = 0f;
 
-        //calculate perlin noise
+        //calculate perlin noise by blending each layer together with specific persistence
         for(int octave = octaveCount - 1; octave >= 0; octave--) {
             amplitude *= persistence;
             totalAmplitude += amplitude;
 
             for(int x = 0; x < width; x++) {
                 for(int y = 0; y < height; y++) {
+                    //adding each value of the noise layer to the noise
+                    //by increasing amplitude the rougher noises will have more impact
                     perlinNoise[x][y] += noiseLayers[octave][x][y] * amplitude;
                 }
             }
         }
 
-        //normalize
+        //normalize values so that they stay between 0..1
         for(int x = 0; x < width; x++) {
             for (int y = 0; y < height; y++) {
                 perlinNoise[x][y] /= totalAmplitude;
@@ -44,25 +58,39 @@ public class PerlinNoise {
         return perlinNoise;
     }
 
+    /**
+     * @param base base random float array
+     * @param width width of noise array
+     * @param height height of noise array
+     * @param octave current layer
+     * @return float array containing calculated "Perlin-Noise-Layer" values
+     */
     static float[][] generatePerlinNoiseLayer(float[][] base, int width, int height, int octave) {
         float[][] perlinNoiseLayer = new float[width][height];
 
-        int period = 1 << octave;
+        //calculate period (wavelength) for different shapes
-        float frequency = 1f / period;
+        int period = 1 << octave; //2^k
+        float frequency = 1f / period; // 1/2^k
 
         for(int x = 0; x < width; x++) {
+            //calculates the horizontal sampling indices
             int x0 = (x / period) * period;
             int x1 = (x0 + period) % width;
             float horizintalBlend = (x - x0) * frequency;
 
             for(int y = 0; y < height; y++) {
+                //calculates the vertical sampling indices
                 int y0 = (y / period) * period;
                 int y1 = (y0 + period) % height;
                 float verticalBlend = (y - y0) * frequency;
 
+                //blend top corners
                 float top = interpolate(base[x0][y0], base[x1][y0], horizintalBlend);
+
+                //blend bottom corners
                 float bottom = interpolate(base[x0][y1], base[x1][y1], horizintalBlend);
 
+                //blend top and bottom interpolation to get the final blend value for this cell
                 perlinNoiseLayer[x][y] = interpolate(top, bottom, verticalBlend);
             }
         }
@@ -70,6 +98,12 @@ public class PerlinNoise {
         return perlinNoiseLayer;
     }
 
+    /**
+     * @param a value of point a
+     * @param b value of point b
+     * @param alpha determine which value has more impact (closer to 0 -> a, closer to 1 -> b)
+     * @return interpolated value
+     */
     static float interpolate(float a, float b, float alpha) {
         return a * (1 - alpha) + alpha * b;
     }