diff --git a/CONTRIBUTORS.md b/CONTRIBUTORS.md
index dca9b1f7282a..ec32adf90000 100644
--- a/CONTRIBUTORS.md
+++ b/CONTRIBUTORS.md
@@ -173,3 +173,4 @@ List of Contributors
 * [Jesse Brizzi](https://github.com/jessebrizzi)
 * [Hang Zhang](http://hangzh.com)
 * [Kou Ding](https://github.com/chinakook)
+* [Istvan Fehervari](https://github.com/ifeherva)
diff --git a/python/mxnet/image/image.py b/python/mxnet/image/image.py
index b4b9cc2f1c08..5af2b9556651 100644
--- a/python/mxnet/image/image.py
+++ b/python/mxnet/image/image.py
@@ -839,8 +839,8 @@ class ColorNormalizeAug(Augmenter):
     """
     def __init__(self, mean, std):
         super(ColorNormalizeAug, self).__init__(mean=mean, std=std)
-        self.mean = nd.array(mean) if mean is not None else None
-        self.std = nd.array(std) if std is not None else None
+        self.mean = mean if mean is None or isinstance(mean, nd.NDArray) else nd.array(mean)
+        self.std = std if std is None or isinstance(std, nd.NDArray) else nd.array(std)
 
     def __call__(self, src):
         """Augmenter body"""
@@ -999,14 +999,14 @@ def CreateAugmenter(data_shape, resize=0, rand_crop=False, rand_resize=False, ra
         auglist.append(RandomGrayAug(rand_gray))
 
     if mean is True:
-        mean = np.array([123.68, 116.28, 103.53])
+        mean = nd.array([123.68, 116.28, 103.53])
     elif mean is not None:
-        assert isinstance(mean, np.ndarray) and mean.shape[0] in [1, 3]
+        assert isinstance(mean, (np.ndarray, nd.NDArray)) and mean.shape[0] in [1, 3]
 
     if std is True:
-        std = np.array([58.395, 57.12, 57.375])
+        std = nd.array([58.395, 57.12, 57.375])
     elif std is not None:
-        assert isinstance(std, np.ndarray) and std.shape[0] in [1, 3]
+        assert isinstance(std, (np.ndarray, nd.NDArray)) and std.shape[0] in [1, 3]
 
     if mean is not None or std is not None:
         auglist.append(ColorNormalizeAug(mean, std))
diff --git a/tests/python/unittest/test_image.py b/tests/python/unittest/test_image.py
index 78c3ce14eb43..636c5e2be67c 100644
--- a/tests/python/unittest/test_image.py
+++ b/tests/python/unittest/test_image.py
@@ -18,7 +18,7 @@
 import mxnet as mx
 import numpy as np
 from mxnet.test_utils import *
-from common import assertRaises
+from common import assertRaises, with_seed
 import shutil
 import tempfile
 import unittest
@@ -153,8 +153,19 @@ def test_imageiter(self):
         for batch in test_iter:
             pass
 
-
+    @with_seed()
     def test_augmenters(self):
+        # ColorNormalizeAug
+        mean = np.random.rand(3) * 255
+        std = np.random.rand(3) + 1
+        width = np.random.randint(100, 500)
+        height = np.random.randint(100, 500)
+        src = np.random.rand(height, width, 3) * 255.
+        # We test numpy and mxnet NDArray inputs
+        color_norm_aug = mx.image.ColorNormalizeAug(mean=mx.nd.array(mean), std=std)
+        out_image = color_norm_aug(mx.nd.array(src))
+        assert_almost_equal(out_image.asnumpy(), (src - mean) / std, atol=1e-3)
+
         # only test if all augmenters will work
         # TODO(Joshua Zhang): verify the augmenter outputs
         im_list = [[0, x] for x in TestImage.IMAGES]