diff --git a/imagelib/color_transfer.py b/imagelib/color_transfer.py
index dd190cf..d2d6879 100644
--- a/imagelib/color_transfer.py
+++ b/imagelib/color_transfer.py
@@ -76,7 +76,7 @@ def reinhard_color_transfer(target, source, clip=False, preserve_paper=False, ta
     a += aMeanSrc
     b += bMeanSrc
 
-    # clip/scale the pixel intensities to [0, 255] if they fall
+    # clip/scale the pixel intensities to [0, 1] if they fall
     # outside this range
     l = _scale_array(l, clip=clip)
     a = _scale_array(a, clip=clip)
@@ -156,15 +156,15 @@ def _scale_array(arr, clip=True):
     if clip:
         return np.clip(arr, 0, 1)
 
-    return (arr - np.min(arr)) / np.ptp(arr)
-    # mn = arr.min()
-    # mx = arr.max()
-    # scale_range = (max([mn, 0]), min([mx, 1]))
-    #
-    # if mn < scale_range[0] or mx > scale_range[1]:
-    #     return (scale_range[1] - scale_range[0]) * (arr - mn) / (mx - mn) + scale_range[0]
-    #
-    # return arr
+    # return (arr - np.min(arr)) / np.ptp(arr)
+    mn = arr.min()
+    mx = arr.max()
+    scale_range = (max([mn, 0]), min([mx, 1]))
+
+    if mn < scale_range[0] or mx > scale_range[1]:
+        return (scale_range[1] - scale_range[0]) * (arr - mn) / (mx - mn) + scale_range[0]
+
+    return arr
 
 
 def channel_hist_match(source, template, hist_match_threshold=255, mask=None):
diff --git a/samplelib/SampleProcessor.py b/samplelib/SampleProcessor.py
index 44145e2..5975fec 100644
--- a/samplelib/SampleProcessor.py
+++ b/samplelib/SampleProcessor.py
@@ -235,13 +235,15 @@ class SampleProcessor(object):
                         img_bgr = imagelib.linear_color_transfer(img_bgr, ct_sample_bgr)
 
                     elif apply_ct == ColorTransferMode.RCT:
-                        img_bgr = imagelib.reinhard_color_transfer(img_bgr, ct_sample_bgr)
+                        img_bgr = imagelib.reinhard_color_transfer(img_bgr, ct_sample_bgr, clip=True, preserve_paper=True)
 
                     elif apply_ct == ColorTransferMode.RCT_MASKED and ct_sample_mask is None:
                         ct_sample_mask = ct_sample.load_fanseg_mask() or \
                                          LandmarksProcessor.get_image_hull_mask(ct_sample_bgr.shape, ct_sample.landmarks)
                         img_bgr = imagelib.reinhard_color_transfer(img_bgr,
                                                                    ct_sample_bgr,
+                                                                   clip=True,
+                                                                   preserve_paper=True,
                                                                    target_mask=img_mask,
                                                                    source_mask=ct_sample_mask)