2.6.8.10. Image denoisingΒΆ

This example demoes image denoising on a Raccoon face.

noisy, Gaussian filter, Median filter
import numpy as np
import scipy as sp
import matplotlib.pyplot as plt
f = sp.datasets.face(gray=True)
f = f[230:290, 220:320]
noisy = f + 0.4 * f.std() * np.random.random(f.shape)
gauss_denoised = sp.ndimage.gaussian_filter(noisy, 2)
med_denoised = sp.ndimage.median_filter(noisy, 3)
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(gauss_denoised, cmap=plt.cm.gray, vmin=40, vmax=220)
plt.axis("off")
plt.title("Gaussian filter", fontsize=20)
plt.subplot(133)
plt.imshow(med_denoised, cmap=plt.cm.gray, vmin=40, vmax=220)
plt.axis("off")
plt.title("Median filter", 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 0.209 seconds)

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