2.6.8.17. Total Variation denoisingΒΆ

This example demoes Total-Variation (TV) denoising on a Racoon face.

../../../_images/sphx_glr_plot_face_tv_denoise_001.png
import numpy as np
import scipy
import scipy.misc
import matplotlib.pyplot as plt
try:
from skimage.restoration import denoise_tv_chambolle
except ImportError:
# skimage < 0.12
from skimage.filters import denoise_tv_chambolle
f = scipy.misc.face(gray=True)
f = f[230:290, 220:320]
noisy = f + 0.4*f.std()*np.random.random(f.shape)
tv_denoised = denoise_tv_chambolle(noisy, weight=10)
plt.figure(figsize=(12, 2.8))
plt.subplot(131)
plt.imshow(noisy, cmap=plt.cm.gray, vmin=40, vmax=220)
plt.axis('off')
plt.title('noisy', fontsize=20)
plt.subplot(132)
plt.imshow(tv_denoised, cmap=plt.cm.gray, vmin=40, vmax=220)
plt.axis('off')
plt.title('TV denoising', fontsize=20)
tv_denoised = denoise_tv_chambolle(noisy, weight=50)
plt.subplot(133)
plt.imshow(tv_denoised, cmap=plt.cm.gray, vmin=40, vmax=220)
plt.axis('off')
plt.title('(more) TV denoising', fontsize=20)
plt.subplots_adjust(wspace=0.02, hspace=0.02, top=0.9, bottom=0, left=0,
right=1)
plt.show()

Total running time of the script: ( 0 minutes 0.475 seconds)

Gallery generated by Sphinx-Gallery