diff --git a/main.py b/main.py
index 4661e72..75addb0 100644
--- a/main.py
+++ b/main.py
@@ -2,7 +2,7 @@
 from utils import input_setup
 
 import numpy as np
-import tensorflow as tf
+import tensorflow.compat.v1 as tf
 
 import pprint
 import os
diff --git a/model.py b/model.py
index dbe6d74..c70ba4b 100644
--- a/model.py
+++ b/model.py
@@ -10,7 +10,7 @@
 import matplotlib.pyplot as plt
 
 import numpy as np
-import tensorflow as tf
+import tensorflow.compat.v1 as tf
 
 try:
   xrange
diff --git a/utils.py b/utils.py
index 124dd3b..94bcf2c 100644
--- a/utils.py
+++ b/utils.py
@@ -9,11 +9,11 @@
 import matplotlib.pyplot as plt
 
 from PIL import Image  # for loading images as YCbCr format
-import scipy.misc
+import imageio.v3
 import scipy.ndimage
 import numpy as np
 
-import tensorflow as tf
+import tensorflow.compat.v1 as tf
 
 try:
   xrange
@@ -97,9 +97,9 @@ def imread(path, is_grayscale=True):
   Default value is gray-scale, and image is read by YCbCr format as the paper said.
   """
   if is_grayscale:
-    return scipy.misc.imread(path, flatten=True, mode='YCbCr').astype(np.float)
+    return imageio.imread(path, pilmode='YCbCr').astype(np.float)[:, :, 0]
   else:
-    return scipy.misc.imread(path, mode='YCbCr').astype(np.float)
+    return imageio.imread(path, pilmode='YCbCr').astype(np.float)  
 
 def modcrop(image, scale=3):
   """