Make gaussanize sigma match burley paper

1 files changed, 2 insertions, 2 deletions

diff --git a/Scripts/gaussianize b/Scripts/gaussianize
index f997b8a..a42394d 100755
--- a/Scripts/gaussianize
+++ b/Scripts/gaussianize
@@ -127,10 +127,10 @@ def homogenize_luminance(image: np.ndarray, cutoff_cycles: float = 8.0) -> np.nd
 class TruncatedGaussian:
     """Truncated Gaussian distribution for histogram transformation."""
 
-    def __init__(self, sigma: float = 1.0 / 6.0):
+    def __init__(self, sigma: float = 1.0 / np.sqrt(2.0)):
         """
         Initialize truncated Gaussian centered at 0.5 with given sigma.
-        Default sigma = 1/6 as recommended in Burley's paper.
+        Default sigma = 1/sqrt(2), matching Burley's paper.
         """
         self.sigma = sigma
         self.mu = 0.5