diff --git a/iscc_sci/code_semantic_image.py b/iscc_sci/code_semantic_image.py
index 6125110..c8d21e6 100644
--- a/iscc_sci/code_semantic_image.py
+++ b/iscc_sci/code_semantic_image.py
@@ -127,15 +127,15 @@ def preprocess_image(image):
         # Transpose the image according to its orientation tag (if available).
         image = ImageOps.exif_transpose(image)
 
+        # Convert to RGB and add a white background if the image contains transparency.
+        image = remove_transparency(image)
+
         # Crop uniformly colored borders if applicable.
         image = trim_border(image)
 
         # Resize the image
         image = image.resize((512, 512), Resampling.BILINEAR)
 
-        # Convert to RGB and add a white background if the image contains transparency.
-        image = remove_transparency(image)
-
         # Convert to a numpy array and ensure type consistency
         image = np.array(image, dtype=np.float32)
 
diff --git a/tests/test_iscc_sci.py b/tests/test_iscc_sci.py
index 8436db1..3d363b2 100644
--- a/tests/test_iscc_sci.py
+++ b/tests/test_iscc_sci.py
@@ -18,7 +18,7 @@ def test_code_image_semantic_default():
 
 def test_code_image_semantic_256bit():
     result = sci.code_image_semantic(images()[1], bits=256)
-    assert result["iscc"] == "ISCC:CEDQ2WT7K2Q7YTO47HLGYUURO2RCI24K5VUZOHFMMY42C6O6VLQ6FEA"
+    assert result["iscc"] == "ISCC:CEDQ2UTPK2Q7ZTK47HLOYUUTO3TCA36INUUZODFMMY46S6O6VLSWFEA"
 
 
 def test_code_image_semantic_embedding_precision():
@@ -27,8 +27,8 @@ def test_code_image_semantic_embedding_precision():
     assert result["features"][0]["maintype"] == "semantic"
     assert result["features"][0]["subtype"] == "image"
     assert result["features"][0]["version"] == 0
-    assert result["features"][0]["embedding"][0] == -0.0557
-    assert result["features"][0]["embedding"][-1] == -0.1192
+    assert result["features"][0]["embedding"][0] == -0.0647
+    assert result["features"][0]["embedding"][-1] == -0.109
 
 
 def test_gen_image_code_semantic(img_array):