diff --git a/datasets/raise/extract_noise.py b/datasets/raise/extract_noise.py
index 15d07aa..8e456b8 100755
--- a/datasets/raise/extract_noise.py
+++ b/datasets/raise/extract_noise.py
@@ -53,17 +53,27 @@ def treatImage(imageFileName, computeExtremes = False):
             colorDesc = raw.color_desc.decode('ascii')
             assert colorDesc == 'RGBG'
             assert np.array_equal(raw.raw_pattern, np.array([[0, 1], [3, 2]], dtype = np.uint8))
+            # RG
+            # GB
             rawImageVisible = raw.raw_image_visible.copy()
-            greenRawImageVisible = rawImageVisible[1::2, ::2]
+            
+            redRawImageVisible = rawImageVisible[::2, ::2]
+            greenRightRawImageVisible = rawImageVisible[::2, 1::2]
+            
+            greenBottomRawImageVisible = rawImageVisible[1::2, ::2]
+            blueRawImageVisible = rawImageVisible[1::2, 1::2]
+            
+            # Actual color to estimate the PRNU with.
+            colorRawImageVisible = greenBottomRawImageVisible
             if computeExtremes:
-                greenRawImageVisibleMin = greenRawImageVisible.min()
-                greenRawImageVisibleMax = greenRawImageVisible.max()
-                if minColor is None or greenRawImageVisibleMin < minColor:
-                    minColor = greenRawImageVisibleMin
-                if maxColor is None or greenRawImageVisibleMax > maxColor:
-                    maxColor = greenRawImageVisibleMax
+                colorRawImageVisibleMin = colorRawImageVisible.min()
+                colorRawImageVisibleMax = colorRawImageVisible.max()
+                if minColor is None or colorRawImageVisibleMin < minColor:
+                    minColor = colorRawImageVisibleMin
+                if maxColor is None or colorRawImageVisibleMax > maxColor:
+                    maxColor = colorRawImageVisibleMax
                 return
-            imageNpArray = (greenRawImageVisible - minColor) / (maxColor - minColor)
+            imageNpArray = (colorRawImageVisible - minColor) / (maxColor - minColor)
             # Pay attention to range of values expected by the denoiser.
             # Indeed if provide the thousands valued raw image, then the denoiser only returns values between 0 and 1 and making the difference between both look pointless.
     else: