diff --git a/doc/examples/plot_denoise.py b/doc/examples/plot_denoise.py
index 200036ae..3a05c99f 100644
--- a/doc/examples/plot_denoise.py
+++ b/doc/examples/plot_denoise.py
@@ -29,7 +29,7 @@ import numpy as np
 import matplotlib.pyplot as plt
 
 from skimage import data, img_as_float
-from skimage.filter import denoise_tv_chambolle, denoise_bilateral
+from skimage.restoration import denoise_tv_chambolle, denoise_bilateral
 
 
 lena = img_as_float(data.lena())
diff --git a/doc/examples/plot_phase_unwrap.py b/doc/examples/plot_phase_unwrap.py
index 39055995..22e3bc89 100644
--- a/doc/examples/plot_phase_unwrap.py
+++ b/doc/examples/plot_phase_unwrap.py
@@ -14,7 +14,7 @@ skimage. Here we will demonstrate phase unwrapping in the two dimensional case.
 import numpy as np
 from matplotlib import pyplot as plt
 from skimage import data, img_as_float, color, exposure
-from skimage.exposure import unwrap_phase
+from skimage.restoration import unwrap_phase
 
 
 # Load an image as a floating-point grayscale