diff --git a/codes/data/LQGT_dataset.py b/codes/data/LQGT_dataset.py
index 2eea89d5..02583f92 100644
--- a/codes/data/LQGT_dataset.py
+++ b/codes/data/LQGT_dataset.py
@@ -90,7 +90,6 @@ class LQGTDataset(data.Dataset):
             img_PIX = img_GT
 
         # get LQ image
-        already_blurred = False
         if self.paths_LQ:
             LQ_path = self.get_lq_path(index)
             resolution = [int(s) for s in self.sizes_LQ[index].split('_')
@@ -115,15 +114,8 @@ class LQGTDataset(data.Dataset):
 
             H, W, _ = img_GT.shape
 
-            if self.opt['use_blurring']:
-                blur_sig = int(random.randrange(0, 8))
-                hqxform = cv2.GaussianBlur(img_GT, (5, 5), blur_sig)
-                already_blurred = True
-            else:
-                hqxform = img_GT
-
             # using matlab imresize
-            img_LQ = util.imresize_np(hqxform, 1 / scale, True)
+            img_LQ = util.imresize_np(img_GT, 1 / scale, True)
             if img_LQ.ndim == 2:
                 img_LQ = np.expand_dims(img_LQ, axis=2)
 
@@ -151,7 +143,7 @@ class LQGTDataset(data.Dataset):
             img_LQ, img_GT, img_PIX = util.augment([img_LQ, img_GT, img_PIX], self.opt['use_flip'],
                                           self.opt['use_rot'])
 
-            if self.opt['use_blurring'] and not already_blurred:
+            if self.opt['use_blurring']:
                 blur_sig = int(random.randrange(0, 4))
                 img_LQ = cv2.GaussianBlur(img_LQ, (3, 3), blur_sig)