diff --git a/doc/examples/plot_denoise.py b/doc/examples/plot_denoise.py
index a3e83a65..8f02f21b 100644
--- a/doc/examples/plot_denoise.py
+++ b/doc/examples/plot_denoise.py
@@ -30,7 +30,7 @@ import numpy as np
 import matplotlib.pyplot as plt
 
 from skimage import data, color, img_as_float
-from skimage.filter import tv_denoise, denoise_bilateral
+from skimage.filter import denoise_tv, denoise_bilateral
 
 lena = img_as_float(data.lena())
 lena = lena[220:300, 220:320]
@@ -43,14 +43,14 @@ fig, ax = plt.subplots(nrows=2, ncols=3, figsize=(8, 5))
 ax[0, 0].imshow(noisy)
 ax[0, 0].axis('off')
 ax[0, 0].set_title('noisy')
-ax[0, 1].imshow(tv_denoise(noisy, weight=0.1))
+ax[0, 1].imshow(denoise_tv(noisy, weight=0.1))
 ax[0, 1].axis('off')
 ax[0, 1].set_title('TV')
 ax[0, 2].imshow(denoise_bilateral(noisy, sigma_range=0.03, sigma_spatial=15))
 ax[0, 2].axis('off')
 ax[0, 2].set_title('Bilateral')
 
-ax[1, 0].imshow(tv_denoise(noisy, weight=0.2))
+ax[1, 0].imshow(denoise_tv(noisy, weight=0.2))
 ax[1, 0].axis('off')
 ax[1, 0].set_title('(more) TV')
 ax[1, 1].imshow(denoise_bilateral(noisy, sigma_range=0.06, sigma_spatial=15))