REVIEWED: `GenImagePerlinNoise()`, no change

1 files changed, 12 insertions, 7 deletions

diff --git a/src/rtextures.c b/src/rtextures.c
index 6bca43d1..2d8056d6 100644
--- a/src/rtextures.c
+++ b/src/rtextures.c
@@ -833,18 +833,23 @@ Image GenImagePerlinNoise(int width, int height, int offsetX, int offsetY, float
     {
         for (int x = 0; x < width; x++)
         {
-            float nx = (float)(x + offsetX)*scale/(float)width;
-            float ny = (float)(y + offsetY)*scale/(float)height;
-
+            float nx = (float)(x + offsetX)*(scale/(float)width);
+            float ny = (float)(y + offsetY)*(scale/(float)height);
+            
+            // Basic perlin noise implementation (not used)
+            //float p = (stb_perlin_noise3(nx, ny, 0.0f, 0, 0, 0);
+            
+            // Calculate a better perlin noise using fbm (fractal brownian motion)
             // Typical values to start playing with:
             //   lacunarity = ~2.0   -- spacing between successive octaves (use exactly 2.0 for wrapping output)
             //   gain       =  0.5   -- relative weighting applied to each successive octave
             //   octaves    =  6     -- number of "octaves" of noise3() to sum
+            float p = stb_perlin_fbm_noise3(nx, ny, 1.0f, 2.0f, 0.5f, 6);
+            
+            // We need to normalize the data from [-1..1] to [0..1]
+            float np = (p + 1.0f)/2.0f;
 
-            // NOTE: We need to translate the data from [-1..1] to [0..1]
-            float p = (stb_perlin_fbm_noise3(nx, ny, 1.0f, 2.0f, 0.5f, 6) + 1.0f)/2.0f;
-
-            int intensity = (int)(p*255.0f);
+            int intensity = (int)(np*255.0f);
             pixels[y*width + x] = (Color){ intensity, intensity, intensity, 255 };
         }
     }