Move denoise from extract_noise.py to utils.py

See next commit leveraging it in `split_and_compare_prnus_of_subgroups.py`

datasets/raise/utils.py

@@ -1,4 +1,5 @@
 from enum import Enum, auto
+import skimage.restoration
 
 class Color(Enum):
     RED = auto()
@@ -8,3 +9,19 @@ class Color(Enum):
 
     def __str__(self):
         return self.name.lower()
+
+# Among:
+# - `wavelet`
+# - `bilateral`
+# - `tv_chambolle`
+def denoise(imageNpArray, denoiserName):
+    skImageRestorationDenoise = getattr(skimage.restoration, f'denoise_{denoiserName}')
+
+    match denoiserName:
+        case 'wavelet':
+            imageDenoisedNpArray = skImageRestorationDenoise(imageNpArray, rescale_sigma=True)
+        case 'bilateral':
+            imageDenoisedNpArray = skImageRestorationDenoise(imageNpArray, sigma_color=0.05, sigma_spatial=15)
+        case 'tv_chambolle':
+            imageDenoisedNpArray = skImageRestorationDenoise(imageNpArray, weight=0.2)
+    return imageDenoisedNpArray