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Update denoising example

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Johannes Schönberger
2012-12-26 09:30:13 +01:00
parent 236ef48ec9
commit b7254f225c
1 changed files with 7 additions and 7 deletions
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doc/examples/plot_denoise.py
+7 -7
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@@ -30,12 +30,12 @@ import numpy as np
import matplotlib.pyplot as plt
from skimage import data, color, img_as_float
from skimage.filter import denoise_tv, denoise_bilateral
from skimage.filter import denoise_tv_chambolle, denoise_bilateral
lena = color.rgb2gray(img_as_float(data.lena()))
lena = img_as_float(data.lena())
lena = lena[220:300, 220:320]
noisy = lena + 0.5 * lena.std() * np.random.random(lena.shape)
noisy = lena + 0.6 * lena.std() * np.random.random(lena.shape)
noisy = np.clip(noisy, 0, 1)
fig, ax = plt.subplots(nrows=2, ncols=3, figsize=(8, 5))
@@ -45,17 +45,17 @@ plt.gray()
ax[0, 0].imshow(noisy)
ax[0, 0].axis('off')
ax[0, 0].set_title('noisy')
ax[0, 1].imshow(denoise_tv(noisy, weight=40))
ax[0, 1].imshow(denoise_tv_chambolle(noisy, weight=0.1, multichannel=True))
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].imshow(denoise_bilateral(noisy, sigma_range=0.05, sigma_spatial=15))
ax[0, 2].axis('off')
ax[0, 2].set_title('Bilateral')
ax[1, 0].imshow(denoise_tv(noisy, weight=20))
ax[1, 0].imshow(denoise_tv_chambolle(noisy, weight=0.2, multichannel=True))
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))
ax[1, 1].imshow(denoise_bilateral(noisy, sigma_range=0.1, sigma_spatial=15))
ax[1, 1].axis('off')
ax[1, 1].set_title('(more) Bilateral')
ax[1, 2].imshow(lena)