Default gauss noise is exact (#1800)

albumentations/augmentations/transforms.py

@@ -1617,7 +1617,7 @@ class GaussNoise(ImageOnlyTransform):
             Default: True
         noise_scale_factor (float): Scaling factor for noise generation. Value should be in the range (0, 1].
             When set to 1, noise is sampled for each pixel independently. If less, noise is sampled for a smaller size
-            and resized to fit the shape of the image. Smaller values make the transform faster. Default: 0.5
+            and resized to fit the shape of the image. Smaller values make the transform faster. Default: 1.0.
         p (float): Probability of applying the transform. Default: 0.5.
 
     Targets:
@@ -1639,7 +1639,7 @@ def __init__(
         var_limit: ScaleFloatType = (10.0, 50.0),
         mean: float = 0,
         per_channel: bool = True,
-        noise_scale_factor: float = 0.5,
+        noise_scale_factor: float = 1,
         always_apply: Optional[bool] = None,
         p: float = 0.5,
     ):